Application of different models to the lactation curves of unimproved Awassi ewes in Turkey

The objective of this study was to investigate the use of four different mathematical functions (Wood, Inverse Polynomial, Quadratic and Cubic models) for describing the lactation curve of unimproved Awassi ewes. Data were collected from 136 ewes from the same flock raised on the State Farm of Gözlü in the Konya Province of Turkey. The differences in estimated total milk yields between the models were not statistically significant. All models were adequate in describing total milk yield, though total milk yield estimated using the Cubic model was very close to total milk yield calculated by the Fleischmann method. Age effects on model parameters were not significant. The Inverse Polynomial model overestimated the peak yield significantly. Estimated peak yields of the Wood and Cubic model were similar while that obtained from the Quadratic model was significantly lower than that of the other models. Day of peak yield estimated by the models varied between 10.2 and 56.4 days. The differences between days of peak yield estimated using the different models were significant. R2 values of the models ranged from 0.724 to 0.977. The Cubic model gave the best R2 value. The lowest mean square prediction error was found using the Cubic model. Correlation coefficients between total milk yield calculated by the Fleischmann method and estimated total milk yield from the other models ranged from 0.933 to 0.998. The highest correlation coefficient was found for the Cubic model. As a result, the Cubic model showed the best fit to the data collected from unimproved Awassi ewes and allowed a suitable description of the shape of the lactation curve. South African Journal of Animal Science Vol. 35(4) 2005: 238-24

Software Process Improvement and Human Judgement Heuristics

This paper exemplifies how better knowledge about human judgement strategies known as heuristics can be used to improve software processes, especially estimation and prediction processes. Human judgement heuristics work well when they exploit a fit between their structure and the structure of the environment in which they are used. This use of environmental fit may lead to amazingly good judgements based on little information and simple computations compared with more formal approaches. Sometimes, however, the heuristics may lead to poor judgements. Knowing more about the strengths and weaknesses of human judgement heuristics we may be able to (1) know when to use formal process improvement approaches and when to use less expensive expert judgements, (2) support the experts in situations where the experts’ judgements strategies are known to perform poorly, (3) improve the formal processes with elements from the experts’ strategies, and (4) train the experts in the use of more optimal judgement strategies. A small-scale experiment was carried out to evaluate the use of the representativeness heuristic in a software development effort estimation context. The results indicate that the actual use of the representativeness heuristic differed very much among the estimators and was not always based on an awareness of fit between the structure of the heuristic and the structure of the environment. Estimation strategies only appropriate in low uncertainty development environments were used in high uncertainty environments. A possible consequence of this finding is that expert estimators should be trained in assessing how well previous software projects predict new software projects, i.e., the uncertainty of the environment, and how this uncertainty should impact the estimation strategy

Four additional lichens from the Antarctic and South Georgia, including a new Leciophysma species

Four lichen species new to the Antarctic and sub-Antarctic South Georgia are reported. One is new to science: a species of Leciophysma with rough, non-granular thallus and reduced proper exciple. A total of 484 lichenized fungal taxa have now been reported from Antarctica and South Georgia.

First step towards an interferometric and localized surface plasmon fiber optic sensor

We present a first demonstration of a novel multi-parameter fiber optic (FO) sensor concept based on gold nanoparticles (GNP) embedded in a stimuli-responsive hydrogel material. A hemispherical hydrogel immobilized on the optical fiber end-face forms a low-finesse Fabry-Perot (FP) interferometer. The GNPs exhibit local surface plasmon resonance (LSPR) that is sensitive towards the refractive index of the surrounding environment, while the stimuli-responsive hydrogel is sensitive towards specific chemical compounds. We evaluate the quality of the interferometric and LSPR signal as a function GNP concentration and of hydrogel swelling degree stimulated by ethanol solutions. The GNPs shows to have little influence on the visibility of the FP etalon, while LSPR of GNP shows to be sensitive towards the surface refractive index rather than bulk refractive index. This demonstration shows that the sensor concept has the potential to be used in applications such as an intravenous two-parametric real-time sensor for medical purpose

Interferometric and localized surface plasmon based fiber optic sensor

We demonstrate a novel single point, multi-parameter, fiber optic sensor concept based on a combination of interferometric and plasmonic sensor modalities on an optical fiber end face. The sensor consists of a microFabry-Perot interferometer in the form of a hemispherical stimuli-responsive hydrogel with immobilized gold nanoparticles. We present results of proof-of-concept experiments demonstrating local surface plasmon resonance (LSPR) sensing of refractive index (RI) in the visible range and interferometric measurements of volumetric changes of the pH stimuli-responsive hydrogel in near infrared range. The response of LSPR to RI ( ∆λr ∆RI ∼ 877nm/RI) and the free spectral range (FSR) to pH ( ∆pH ∆FSR = 0.09624/nm) were measured with LSPR relatively constant for hydrogel swelling degree and FSR relatively constant for RI. We expect this novel sensor concept to be of great value for biosensors for medical applications

Thesaurus-Based Methodologies and Tools for Maintaining Persistent Application Systems

The research presented in this thesis establishes thesauri as a viable foundation for models, methodologies and tools for change management. Most of the research has been undertaken in a persistent programming environment. Persistent language technology has enabled the construction of sophisticated and well-integrated change management tools; tools and applications reside in the same store. At the same time, the research has enhanced persistent programming environments with models, methodologies and tools that are crucial to the exploitation of persistent programming in construction and maintenance of long-lived, data-intensive application systems

Many-body quantum chaos in stroboscopically-driven cold atoms

Seeking signatures of quantum chaos in experimentally realizable many-body systems is of vigorous interest. In such systems, the spectral form factor (SFF), defined as the Fourier transform of two-level spectral correlation function, is known to exhibit random matrix theory (RMT) behaviors, namely a 'ramp' followed by a 'plateau' in sufficiently late time. Recently, a generic early-time deviation from the RMT behavior, which we call the 'bump', has been shown to exist in random quantum circuits and spin chains as toy models for many-body quantum chaotic systems. Here we demonstrate the existence of the 'bump-ramp-plateau' behavior in the SFF for a number of paradigmatic, stroboscopically-driven cold atom models of interacting bosons in optical lattices and spinor condensates. We find that the scaling of the many-body Thouless time $t_{\text{Th}}$ -- the time of the onset of the (RMT) ramp behavior -- and the increase of the bump amplitude in atom number are significantly slower in (effectively 0D) chaotic spinor gases than in 1D optical lattices, demonstrating the role of locality in many-body quantum chaos. Moreover, $t_{\text{Th}}$ scaling and the bump amplitude are more sensitive to variations in atom number than the system size regardless of the hyperfine structure, the symmetry classes, or the choice of the driving protocol. We obtain scaling functions of SFF which suggest power-law behavior for the bump regime in quantum chaotic cold-atom systems. Finally, we propose an interference measurement protocol to probe SFF in the laboratory.Comment: 10 pages, 7 figures, supplementary materia