Rondom de Ander in "Na die geliefde land" van Karel Schoeman

The aim of this article is to analyse the novel "Na die geliefde land" (1972) by Karel Schoeman, by interpreting the function of 'hulle' ('they') as a category of alienation/distancing. Schoeman presented a future vision of South Africa controlled by an unidentified group of 'them' and showed Afrikaners as a marginalized group, forced to live on farms. A narrow political interpretation dominated in the reception of this book, which was treated as a simulation of the development of the political situation in South Africa. The key argument of this article is that the indeterminate representation of the situation after the revolution is not a weakness of this novel, but a conscious strategy of the author. The article argues that problems concerning political revolution ('Who', 'Why', 'When') are not that relevant in a reading of the novel because "Na die geliefde land" deals mainly with an Afrikaner community’s reactions to a changed situation.

Effects of Novel Growth Hormone Secretagogues on Growth Hormone Secretion in Farm Animals

The requirement for growth hormone (GH) secretion by the anterior pituitary gland in beef calves is demonstrated by a complete lack of long bone-growth and muscle accretion after hypophysectomy (surgical removal of the pituitary gland). When the connecting link (hypophyseal stalk) to the basal region (hypothalamus) of the brain is surgically severed, long bone growth and body weight gain are greatly limited compared with sham-operated controls. This limited growth results from obliteration of episodic GH secretion and reduced basal blood concentration of the hormone compared with sham-operated controls. Thus, the hypophyseal stalk-transected (HST) calf provides an appropriate model to determine mechanisms by which hypothalamic neuropeptides from the brain regulate GH secretion, and thereby growth in the young calf. Neuropeptides have been isolated and characterized in bovine hypothalamus that stimulate GH secretion (GH-releasing hormone [GHRH]) or factor [GHRF] and inhibit GH secretion (GH release-inhibiting hormone [GHRIH] or somatostatin [SRIH]). A dose of .067 micrograms of GHRF per kilogram of body weight injected intravenously in HST calves abruptly increased plasma GH concentration to 55 nanograms per milliliter from the control period mean of 5 nanograms per milliliter. HST calves then were infused intravenously with .033 and .067 microgram somatostatin per kilogram of body weight, during which a pulse injection of .067 microgram of GHRF was administered. GH increase was limited to 9 and 5 micrograms per kilogram body weight during the .033- and .067 microgram SRIH infusions after GHRF; no GH rebound was observed after the SRIH was discontinued. GHRF from humans contains 40 to 44 amino acids. Rat hypothalamic GHRF analogs containing 29 to 32 amino acids elicited dose-dependent GH peak release in these HST calves. In 1977, Bowers and Monomy isolated novel GH releasing peptides consisting of only six amino acids; they caused GH release by isolated pituitary cells in culture and acute GH release when administered intravenously. We recently have utilized a novel nonpeptidyl GH secretagogue of low molecular weight in the pig to determine its mechanisms of action within the central nervous system.

Five-chimney farm : a novel /

Wolff, R.L. 19th cent. fiction,

The mistress of Brae Farm : a novel /

Mode of access: Internet.

Sphingobacterium siyangense sp nov., isolated from farm soil

The taxonomic position of a novel Gram-negative strain, designated Sy1(T), isolated from a farm-soil sample obtained from Jiangsu Province, PR China, was characterized by using a polyphasic approach. The cells were non-motile, non-spore-forming rods. The organism grew optimally at 30-37 degrees C and at pH 6.0-8.0. Based on 16S rRNA gene sequence analysis, strain Sy1(T) is a member of the genus Sphingobacterium; Sphingobacterium multivorum JCM 21156(T) was the nearest relative (98.5% sequence similarity). The predominant fatty acids of strain Sy1T were isoC15:0 (32.90/o), C16:0 (10.9%) and summed feature 3 (iso-C-15:0 2-OH and/or C-16:1 omega 7c; 24.1%). The DNA G + C content was 38.5 mol%. The low level of DNA-DNA relatedness (2.2 %) to S. multivorum JCM 21156 T in combination with differential morphological and biochemical properties demonstrated that strain SY1(T) (=KCTC 22131(T)= CGMCC 1.6855(T)) should be classified as representing a novel species of the genus Sphingobacterium for which the name Sphingobacterium siyangense sp. nov. is proposed.

Synthesis and crystallization of a novel poly(ether ketone ether ketone ketone) containing meta-phenylene linkage: PEKEKK(T/I)

Poly(ether ketone ether ketone ketone) containing meta-phenylene linkage (PEKEKK(T/I)) was synthesized by electrophilic Friedel-Crafts acylation condensation of 1, 4-diphenoxybenzophenone with terephthaloyl chloride (T) and isophthaloyl chloride (I) with a T/I ratio of 1 and characterized by LR,DSC,TGA and WAXD. PEKEKK(T/I) has two different crystal structures: a conventional Farm I structure, the same as that observed in PEEK and PEK, wich is usually developed from melt crystallization, and a new Form II structure which can be developed from cold crystallization or solvent induced crystallization (by exposing the glassy sample to methylene chloride).

An unusual postharvest spotting disease of the comercial mushroom, Agaricus bisporus, caused by a novel pathovar of Pseudomonas tolaasii

An unusual postharvest spotting disease of the commercial mushroom, Agaricus bisporus, which was observed on a commercial mushroom farm in Ontario, was found to be caused by a novel pathovar of Pseudomonas tolaasii. Isolations from the discoloured lesions, on the mushroom pilei, revealed the presence of several different bacterial and fungal genera. The most frequently isolated genus being Pseudomonas bacteria. The most frequently isolated fungal genus was Penicillium. Of the bacteria and fungi assayed for pathogenicity to mushrooms, only Pseudomonas tolaasii was able to reproduce the postharvest spotting symptom. This symptom was typically reproduced 1 to 7 days postharvest, when mushroom pilei were inoculated with 101 to 105 cfu. Of the fungi tested for pathogenicity only a Penicillium sp. and Verticillium fungicola were shown to be pathogenic, however, neither produced the postharvest spotting symptom. The Pseudomonas tolaasii strain isolated from the postharvest lesions differed from a type culture (Pseudomonas tolaasii ATCC 33618) in the symptoms it produced on Agaricus bisporus pilei under the same conditions and at the same inoculum concentration. It was therefore designated a pathovar. This strain also differed from the type culture in its cellular protein profile. Neither the type culture, nor the mushroom pathogen was found to contain plasmid DNA. The presence of plasmid DNA is therefore not responsible for the difference in pathogenicity between the two strains.

Development of practical methodology and indicators for on-farm animal welfare assessment

163 p.

Direct experimental evidence that early-life farm environment influences regulation of immune responses

Background: In mammals, early-life environmental variations appear to affect microbial colonization and therefore competent immune development, and exposure to farm environments in infants has been inversely correlated with allergy development. Modelling these effects using manipulation of neonatal rodents is difficult due to their dependency on the mother, but the relatively independent piglet is increasingly identified as a valuable translational model for humans. This study was designed to correlate immune regulation in piglets with early-life environment. Methods: Piglets were nursed by their mother on a commercial farm, while isolatorreared siblings were formula fed. Fluorescence immunohistology was used to quantify T-reg and effector T-cell populations in the intestinal lamina propria and the systemic response to food proteins was quantified by capture ELISA. Results: There was more CD4+ and CD4+CD25+ effector T-cell staining in the intestinal mucosa of the isolator-reared piglets compared with their farm-reared counterparts. In contrast, these isolator-reared piglets had a significantly reduced CD4+CD25+Foxp3+ regulatory T-cell population compared to farm-reared littermates, resulting in a significantly higher T-reg-to-effector ratio in the farm animals. Consistent with these findings, isolator-reared piglets had an increased serum IgG anti-soya response to novel dietary soya protein relative to farm-reared piglets. Conclusion: Here, we provide the first direct evidence, derived from intervention, that components of the early-life environment present on farms profoundly affects both local development of regulatory components of the mucosal immune system and immune responses to food proteins at weaning. We propose that neonatal piglets provide a tractable model which allows maternal and treatment effects to be statistically separated.

A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast

The forecasting behavior of the high volatile and unpredictable wind power energy has always been a challenging issue in the power engineering area. In this regard, this paper proposes a new multi-objective framework based on fuzzy idea to construct optimal prediction intervals (Pis) to forecast wind power generation more sufficiently. The proposed method makes it possible to satisfy both the PI coverage probability (PICP) and PI normalized average width (PINAW), simultaneously. In order to model the stochastic and nonlinear behavior of the wind power samples, the idea of lower upper bound estimation (LUBE) method is used here. Regarding the optimization tool, an improved version of particle swam optimization (PSO) is proposed. In order to see the feasibility and satisfying performance of the proposed method, the practical data of a wind farm in Australia is used as the case study.

In the first person, a novel,

Sequel: The Meloon farm.

Prediction interval estimation for wind farm power generation forecasts using support vector machines

Accurate forecasting of wind power generation is quite an important as well as challenging task for the system operators and market participants due to its high uncertainty. It is essential to quantify uncertainties associated with wind power generation forecasts for their efficient application in optimal management of wind farms and integration into power systems. Prediction intervals (PIs) are well known statistical tools which are used to quantify the uncertainty related to forecasts by estimating the ranges of the future target variables. This paper investigates the application of a novel support vector machine based methodology to directly estimate the lower and upper bounds of the PIs without expensive computational burden and inaccurate assumptions about the distribution of the data. The efficiency of the method for uncertainty quantification is examined using monthly data from a wind farm in Australia. PIs for short term application are generated with a confidence level of 90%. Experimental results confirm the ability of the method in constructing reliable PIs without resorting to complex computational methods.