The Significance of Birds in the Works of Augusto Roa Bastos

Birds have occupied a central role in the works of the Paraguayan writer, Augusto Roa Bastos (1917-2005), from the beginning of his literary career. In texts ranging from his early poetry to his complete short stories, compiled in 2003, the bird motif repeatedly resurfaces, raising the question of the relevance of birds in Roa Bastos’s oeuvre. This article argues that birds are used symbolically throughout Roa Bastos’s poetry and prose works, by drawing upon their significance within Guarani myths and literature. The article focuses on several symbolic associations for birds in Guarani culture, including their relationship to oral language, their prophetic value, their association with thunderstorms, and their view of the owl as an ambiguous creature that signifies both death and rebirth. This article studies Roa Bastos’s poetry, the short stories “El pájaro-mosca” ‘The Hummingbird,’ “Cuando un pájaro entierra sus plumas” ‘When a Bird Buries its Feathers,’ “El país donde los niños no querían nacer” ‘The Country Where Children Didn’t Want to be Born,’ and the novels Yo el Supremo ‘I The Supreme,’ Vigilia del almirante ‘The Admiral’s Vigil,’ and Madama Sui ‘Madame Sui.

Augusto Roa Bastos\u27s Trilogy as Postmodern Practice

Augusto Roa Bastos\u27s most recent novel, El fiscal (1993), completes the author\u27s trilogy on the monotheism of power, which the novel constitutes in conjunction with the prior works Hijo de hombre (1960) and Yo el Supremo (1974). These novels form a larger whole by virtue of the way in which they attempt to define Paraguay\u27s identity through the nation\u27s history. Hijo de hombre focuses on both the Chaco War and a series of Paraguayan civil wars; Yo el Supremo concentrates on the nineteenth-century dictatorship of Dr. José Gaspar Rodríguez de Francia; and El fiscal presents both Alfredo Stroessner\u27s dictatorship (1954-1989) and the nineteenth-century War of the Triple Alliance (during the dictatorship of Francisco Solano López). Moreover, each novel approaches history in a way which is postmodern. This study both discusses the controversy surrounding the term postmodernism and analyzes the way in which these novels carry out some of the characteristics attributed to postmodernism by various critics. These postmodern traits help to unify the three novels and justify their status as a trilogy

The White Male as Narrative Axis in Mayra Santos-Febres’s Nuestra señora de la noche

Mayra Santos-Febres’s 2006 novel, Nuestra señora de la noche, is based on the life of the Puerto Rican madam, Isabel la Negra, a legendary figure in Puerto Rican culture. Using both Mervin Alleyne’s theory of racial discrimination and Aída Hurtado’s theory of racially-based gender discrimination, which shows how the reactions of white and black females are governed by their relation of dependency on or rejection by the white male, this study illustrates how the character Isabel la Negra evolves as a postmodern, feminist character who opposes racism and gender subordination in Puerto Rico through her role as a prostitute. Conversely, the study also illustrates how madness, associated with both white (Cristina Rangel) and black (Montse) females in the novel, is a powerless rather than feminist strategy, into which women descend due to their mistreatment by patriarchal society. The study illustrates how Fernando Fornarís, the white male protagonist, serves as the narrative axis for the development of women’s polarized reactions to patriarchal domination in the novel

A spatial decision support system for groundwater abstraction impact assessment and licensing

Thesis (MSc)--Stellenbosch University, 2005.ENGLISH ABSTRACT: Water resources in South Africa are limited and groundwater plays an important role in supporting basic human needs, sustaining ecosystems and enabling industrial and agricultural development. Sound management practices are necessary to ensure sustainable development of water resources. All groundwater usage must be licensed in compliance with the National Water Act of 1998. A Spatial Decision Support System (SDSS) can be used to assist in the groundwater usage licensing process of the Department of Water Affairs and Forestry (DWAF). The main aim of this study was to develop a SDSS, named Groundwater Abstraction & Licence Evaluation Tool (GALET), that could assist in the process of allocating water use licences and determining the local impact of abstraction, based on existing theory and data. The development was done within ArcView 3.2 using the scripting language Avenue. The Sandveld, an arid stretch of land along the west coast of South Africa that is heavily impacted by groundwater abstraction, was the chosen study area. The data collected for this study included existing borehole, recharge, rainfall and geological information. GALET proved to be capable of calculating essential information needed to evaluate groundwater abstraction, which included drawdown in the water table, zone of influence and the possible effects on features such as rivers and wetlands. Targeted potential users regarded GALET as a useful tool in the process of licensing and groundwater abstraction impact assessment and plans are under way to implement GALET or a derivative thereof at the DWAF regional offices.AFRIKAANSE OPSOMMING: Waterhulpbronne in Suid-Afrika is beperk en grondwater speel 'n belangrike rol in die ondersteuning van basiese menslike behoeftes, volhouding van ekosisteme asook industriële en landbou-ontwikkeling. Betroubare bestuurspraktyke is noodsaaklik om die volhoubare ontwikkeling van waterhulpbronne te verseker. Alle grondwatergebruik moet volgens die Nasionale Waterwet van 1998 gelisensieer word. 'n Ruimtelike Besluitnemings Ondersteuning Stelsel (RBOS) kan as 'n hulpmiddel gebruik word in die lisensiëringsproses van die Departement van Waterwese en Bosbou. Die hoofdoel van hierdie studie was om 'n RBOS, genoem Groundwater Abstraction & Licence Evaluation Tool (GALET), te ontwikkel wat as hulpmiddel gebruik kan word in die allokeringsproses van watergebruiklisensies en die bepaling van die impak van grondwateronttrekking op die omgewing, gebaseer op bestaande teorie en data. Die ontwikkeling is in ArcView 3.2 met die programmeringstaal Avenue gedoen. Die Sandveld, 'n ariede streek aan die weskus van Suid-Afrika wat onderhewig is aan grootskaalse grondwateronttrekking, is gekies as die studie area. Die data wat vir hierdie studie ingesamel is sluit bestaande boorgat, grondwateraanvulling, reënval en geologiese inligting in. GALET was in staat om belangrike inligting aangaande die evaluering van grondwateronttrekking te bereken, o.a. die daling van die grondwatervlak, die impaksone en die moontlike effekte op landvorms soos riviere en vleilande. Die teikengroep potensiële gebruikers het GALET as 'n nuttige hulpmiddel in die proses van lisensiëring en grondwateronttrekking impakbepaling beskou en planne is onderweg om dit of 'n aangepaste program by die streekskantore van die Departement van Waterwese en Bosbou te implementeer

Comparison of two methods for analysis of gene-environment interactions in longitudinal family data: The Framingham heart study

Gene–environment interaction (GEI) analysis can potentially enhance gene discovery for common complex traits. However, genome-wide interaction analysis is computationally intensive. Moreover, analysis of longitudinal data in families is much more challenging due to the two sources of correlations arising from longitudinal measurements and family relationships. GWIS of longitudinal family data can be a computational bottleneck. Therefore, we compared two methods for analysis of longitudinal family data: a methodologically sound but computationally demanding method using the Kronecker model (KRC) and a computationally more forgiving method using the hierarchical linear model (HLM). The KRC model uses a Kronecker product of an unstructured matrix for correlations among repeated measures (longitudinal) and a compound symmetry matrix for correlations within families at a given visit. The HLM uses an autoregressive covariance matrix for correlations among repeated measures and a random intercept for familial correlations. We compared the two methods using the longitudinal Framingham heart study (FHS) SHARe data. Specifically, we evaluated SNP–alcohol (amount of alcohol consumption) interaction effects on high density lipoprotein cholesterol (HDLC). Keeping the prohibitive computational burden of KRC in mind, we limited the analysis to chromosome 16, where preliminary cross-sectional analysis yielded some interesting results. Our first important finding was that the HLM provided very comparable results but was remarkably faster than the KRC, making HLM the method of choice. Our second finding was that longitudinal analysis provided smaller P-values, thus leading to more significant results, than cross-sectional analysis. This was particularly pronounced in identifying GEIs. We conclude that longitudinal analysis of GEIs is more powerful and that the HLM method is an optimal method of choice as compared to the computationally (prohibitively) intensive KRC method

Paralysis and lipofuscin-like pigmentation of farm stock caused by the plant, Trachyandra laxa var. laxa

A paralytic condition of farm stock in South West Africa, characterized by prominent neuronal and some mild extraneuronal pigmentation, is described. The distribution of the pigment, which was mainly located in the larger neurones of the brain and spinal cord, is given. Experimental evidence, obtained by feeding the plant, is presented that the condition is caused by Trachyandra laxa var. laxa. The histochemical features of the pigment proved to be compatible with a lipofuscin.The articles have been scanned in colour with a HP Scanjet 5590; 600dpi. Adobe Acrobat XI Pro was used to OCR the text and also for the merging and conversion to the final presentation PDF-format

Multigene interactions and the prediction of depression in the Wisconsin Longitudinal Study

Objectives: Single genetic loci offer little predictive power for the identification of depression. This study examined whether an analysis of gene-gene (G x G) interactions of 78 single nucleotide polymorphisms (SNPs) in genes associated with depression and agerelated diseases would identify significant interactions with increased predictive power for depression. Design: A retrospective cohort study. Setting: A survey of participants in the Wisconsin Longitudinal Study. Participants: A total of 4811 persons (2464 women and 2347 men) who provided saliva for genotyping; the group comes from a randomly selected sample of Wisconsin high school graduates from the class of 1957 as well as a randomly selected sibling, almost all of whom are non-Hispanic white. Primary outcome measure: Depression as determine by the Composite International Diagnostic Interview-Short-Form. Results: Using a classification tree approach (recursive partitioning (RP)), the authors identified a number of candidate G 3 G interactions associated with depression. The primary SNP splits revealed by RP (ANKK1 rs1800497 (also known as DRD2 Taq1A) in men and DRD2 rs224592 in women) were found to be significant as single factors by logistic regression (LR) after controlling for multiple testing (p=0.001 for both). Without considering interaction effects, only one of the five subsequent RP splits reached nominal significance in LR (FTO rs1421085 in women, p=0.008). However, after controlling for G x G interactions by running LR on RP-specific subsets, every split became significant and grew larger in magnitude (OR (before) → (after): men: GNRH1 novel SNP: (1.43 → 1.57); women: APOC3 rs2854116: (1.28 → 1.55), ACVR2B rs3749386: (1.11 → 2.17), FTO rs1421085: (1.32 → 1.65), IL6 rs1800795: (1.12 → 1.85)). Conclusions: The results suggest that examining G x G interactions improves the identification of genetic associations predictive of depression. 4 of the SNPs identified in these interactions were located in two pathways well known to impact depression: neurotransmitter (ANKK1 and DRD2) and neuroendocrine (GNRH1 and ACVR2B) signalling. This study demonstrates the utility of RP analysis as an efficient and powerful exploratory analysis technique for uncovering genetic and molecular pathway interactions associated with disease aetiology