Parametric fitting of data obtained from detectors with finite resolution and limited acceptance

A goodness-of-fit test for the fitting of a parametric model to data obtained from a detector with finite resolution and limited acceptance is proposed. The parameters of the model are found by minimization of a statistic that is used for comparing experimental data and simulated reconstructed data. Numerical examples are presented to illustrate and validate the fitting procedure.Comment: 11 pages, two figure

Economics of Using On-farm Reservoirs to Distribute Diverted Surface Water to Depleted Ground Water Areas of the Southern Mississippi Valley Region

Rapid ground water depletion has become a significant problem for parts of the Southern Mississippi River Valley. In 1997, the Arkansas Soil and Water Conservation Commission (ASWCC) declared six counties in the Grand Prairie of Arkansas critical ground water areas. A proposed solution to the ground water depletion problem in this region is to divert surplus flows from the White River by a canal system to the farmer stakeholders. To make the system work, on-farm reservoirs will be needed to store and manage the diverted surface water for crop irrigation use during the growing season

Failure Modeling: A Basis for Strength Prediction of Lumber

Failure modeling of knot-containing wood members was investigated as a means to predict member tensile strength. A finite element/fracture mechanics model was developed to model the progressive fracture process observed during failure of wood members. The failure modeling process yields predicted tensile strengths for members that contain knots in the wide face. Predicted strengths compared favorably with tensile strength data measured in initial experimental tests. Predicted strengths are generated from basic engineering computation and are not derived or adjusted by any empirical factors. With further research and verification, the concepts presented hold promise for use in lumber grading and quality assurance

Strategies for printing fibers and post-processing for ceramic matrix composites (CMCs)

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A review of agricultural, food security, food systems and climate change adaptation policies, institutions and actors in East Africa

Agricultural production systems in East Africa are mainly rain-fed and highly vulnerable to climate change and variability. Moreover, the smallholder subsistence production base increases the vulnerability of the agricultural sector in East Africa to climate risks. The frequency and severity of climate shocks such as drought, heat and cold stress as well as floods are increasing and likely to lead to major food crises. Governmental and nongovernmental actors in East African countries have instituted policies and programs aimed at increasing agricultural productivity, improving food security and enhancing adaptation to climate change. This paper examines the various policies, institutions and actors related to climate change adaptation, food security, food system and agricultural development in East Africa—focusing on Ethiopia, Kenya, Tanzania and Uganda. The paper combines a review of literature with key informant interviews from various actors in the four countries

Ariel - Volume 1 Number 2

Copyright 1969 Arie

Pouzyry: a novel class of algorithms for restoring a function from a random sample

A novel class of algorithms for restoring a function from a random sample is based on the concept of weak convergence, borrows algorithmic solutions from the Optimal Jet Finder (hep-ph/0301185), offers a considerable algorithmic flexibility, is applicable to non-positive functions, is insensitive to the choice of coordinate axes. A first implementation demonstrates feasibility of the approach.Comment: 4p PS; talk at ACAT'03; see also http://www.inr.ac.ru/~ftkachov/projects/pouzyry/; v.3: refs. adde