2,527 research outputs found
Certificate of Discharge - Howe, Asa C.
Certificate of Discharge for Asa C. Howe of Lovell, Mainehttps://digitalmaine.com/aroostook_war_discharges/1018/thumbnail.jp
Certificate of Discharge - Kilgore, Moses Jr.
Certificate of Discharge for Moses Kilgore Jr. of Lovell, Mainehttps://digitalmaine.com/aroostook_war_discharges/1008/thumbnail.jp
Certificate of Discharge - Ewins, John
Certificate of Discharge for John Ewins of Paris, Mainehttps://digitalmaine.com/aroostook_war_discharges/1016/thumbnail.jp
Certificate of Discharge - Kilgore, Moses
Certificate of Discharge for Moses Kilgore of Lovell, Mainehttps://digitalmaine.com/aroostook_war_discharges/1000/thumbnail.jp
Hybrid logistic and confined exponential growth models : estimation using SEM software
The logistic and confined exponential curves represent growth over time in various contexts such as learning and technology transfer. Logistic growth operates as a contagion process in a population of interest, while the confined exponential curve represents the diffusion of an external process on a system, such as the transfer of information through communication channels. Prior work (e.g., Grimm and Ram, 2009) has shown that such nonlinear curves can be estimated using structural equation modeling (SEM) software, allowing model comparison. As an alternative to binary choice between such models, this paper shows how a hybrid model representing a weighted combination of the two models may be specified. In order to assess whether the hybrid model can be successfully estimated using SEM software and conditions under which it can be successfully differentiated from the stand-alone logistic and confined exponential alternatives, Monte Carlo simulations varying the number of measurement occasions (5, 10, and 15), internal consistency ([alpha] = .5, .7, and .8), and sample size (N = 1,000, 500, and 300) were conducted. Convergence failures appeared appreciable only when the estimated hybrid models were the special cases of logistic or confined exponential curves. The hybrid model was successfully preferred over the stand-alone models when 10 or 15 measurement occasions are employed and when internal consistency is moderate ([alpha] = .7 or .8) across all sample sizes but not when only five measurement occasions are used or when internal consistency is low ([alpha] = .5). Implications for the application of the hybrid model to learning, growth, and psychopathology are discussed.by Kyle R. RipleyIncludes bibliographical reference
Dynamic quantum clustering: a method for visual exploration of structures in data
A given set of data-points in some feature space may be associated with a
Schrodinger equation whose potential is determined by the data. This is known
to lead to good clustering solutions. Here we extend this approach into a
full-fledged dynamical scheme using a time-dependent Schrodinger equation.
Moreover, we approximate this Hamiltonian formalism by a truncated calculation
within a set of Gaussian wave functions (coherent states) centered around the
original points. This allows for analytic evaluation of the time evolution of
all such states, opening up the possibility of exploration of relationships
among data-points through observation of varying dynamical-distances among
points and convergence of points into clusters. This formalism may be further
supplemented by preprocessing, such as dimensional reduction through singular
value decomposition or feature filtering.Comment: 15 pages, 9 figure
Agricultural development in the north Kimberley : terms, conditions and farm size recommendations
There are approximately 1,250,000 hectares of land in this area of Kimberley which may be sown to pastures such as Townsville Stylo, other Stylosanthes species or to other introduced pastures. The report recommends that grazing properties comprising 10,000 ha. of land capable of growing improved pastures, together with 60,000 ha. of native pasture land, should be established in the area. The economic size of the farm unit is 5,300 adult cattle equivalents
Power and the Production of Science. Assessing Cod Stocks as the Mechanistic Fishery Collapses
This paper discusses power relations in the production of knowledge
claims and the validation of management strategies. The experience of doing
stock assessment science and creating management plans for Canada’s east coast
cod fishery illustrates this general process. We demonstrate that the cyborgization
of fisheries-management is limited by its inability to produce power for stabilizing
the relations between managers, fishers, technology and fish. Lack of stability
forces scientists and managers either to ignore a threat or to intervene by changing
their strategy. Consensus is unlikely. Scientists and managers must reconsider
reasons for action or lack of it, thus producing a new rationality. Managers
attempt to control that reconstruction process in the interests of resolving shortterm
challenges. Some scientists resist change and protect their earlier positions
against new evidence or re-interpretations. The winning rationality has more to
do with the power of the claimant than with the quality of reasoning
Visit of working party on North Kimberley Agricultural Development to the area in July 1977
Report suggests that the area of land suitable for Townsville Stylo in the North Kimberley above the 750 mm rainfall isohyet is about 1.25 million hectares. The regions in which land suitable for Stylosanthes can be found are shown. A brief description of the suitability of the land systems of the region for Stylosanthes is given
Likelihood informed dimension reduction for inverse problems in remote sensing of atmospheric constituent profiles
We use likelihood informed dimension reduction (LIS) (T. Cui et al. 2014) for
inverting vertical profile information of atmospheric methane from ground based
Fourier transform infrared (FTIR) measurements at Sodankyl\"a, Northern
Finland. The measurements belong to the word wide TCCON network for greenhouse
gas measurements and, in addition to providing accurate greenhouse gas
measurements, they are important for validating satellite observations. LIS
allows construction of an efficient Markov chain Monte Carlo sampling algorithm
that explores only a reduced dimensional space but still produces a good
approximation of the original full dimensional Bayesian posterior distribution.
This in effect makes the statistical estimation problem independent of the
discretization of the inverse problem. In addition, we compare LIS to a
dimension reduction method based on prior covariance matrix truncation used
earlier (S. Tukiainen et al. 2016)
- …