Contemporary South African Urbanization Dynamics

The paper provides an overview of urbanization patterns and trends in the current era in South Africa, focusing in particular on the key dynamics and driving forces underlying migration and urbanization. It considers overall demographic trends with regard to migration and urbanization, and points to some of the difficulties with data, and with the analysis of trends and patterns. The paper explores the changing rural context and dynamics, and some of the significant processes in this context: large-scale displacement of black people off farms, the impact of land reform, and conditions in the former homeland areas. Circular migration continues to be an important way in which households in rural areas survive, but some are unable to move, and are falling out of these networks. International migration—the consequence of both conditions in the home country and the draw of the South African economy—is another significant process fuelling mainly urban growth. The paper demonstrates the importance of cities in terms of economic growth and employment, and thus their attractiveness to migrants. Continuing migration to cities is of course a challenge for city management, but important trends towards declining household size and the splitting up of households are also driving the physical growth of cities and demands for housing, services, and infrastructure.     

Biodegradability of activated sludge organics under anaerobic conditions

From an experimental and theoretical investigation of the continuity of activated sludge organic (COD) compounds along the link between the fully aerobic or N removal activated sludge and anaerobic digestion unit operations, it was found that the unbiodegradable particulate organics (i) originating from the influent wastewater and (ii) generated by the activated sludge endogenous process, as determined from response of the activated sludge system, are also unbiodegradable under anaerobic digestion conditions. This means that the activated sludge biodegradable organics that can be anaerobically digested can be calculated from the active fraction of the waste activated sludge based on the widely accepted ordinary heterotrophic organism (OHO) endogenous respiration/death regeneration rates and unbiodegradable fraction. This research shows that the mass balances based steady state and dynamic simulation activated sludge, aerobic digestion and anaerobic digestion models provide internally consistent and externally compatible elements that can be coupled to produce plant wide steady state and dynamic simulation WWTP models.     

Friend influence on prosocial behavior: The role of motivational factors and friendship characteristics.

This study examined motivation (prosocial goals), individual characteristics (sex, ethnicity, and grade), and friendship characteristics (affective quality, interaction frequency, and friendship stability) in relation to middle adolescents' prosocial behavior over time. Ninth- and 10th-grade students (N=208) attending a suburban, mid-Atlantic public high school and having at least 1 reciprocated friendship were followed for 1 year. Hierarchical regression analyses revealed that a friend's behavior is related to an individual's prosocial goal pursuit, which in turn, is related to an individual's prosocial behavior. Further, the affective quality of a friendship and the frequency with which friends interact moderate relations of a friend's prosocial behavior to an individual's prosocial goal pursuit. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Bacteria displaying interleukin-4 mutants stimulate mammalian cells and reflect the biological activities of variant soluble cytokines

We describe a novel procedure that allows the rapid determination of cytokine activity on cells that express their cognate receptor. The four-helix bundle cytokine interleukin-4 (IL-4) was inducibly expressed as a fusion with the E. coli outer-membrane protein intimin, such that IL-4 was presented on the surfaces of the bacteria. Expression and accessibility of the cytokine on the cell exteriors were monitored by Western blotting and fluorescence microscopy, making use of two epitopes flanking the IL-4 component of the fusion protein. To demonstrate the biological activity of the immobilized cytokine, a Ba/F3-derived cell line stably transfected with both the bipartite human IL-4 receptor and an IL-4-specific luciferase reporter gene construct was employed. Bacterial cells displaying interleukin-4 elicited a specific, dose-dependent response in the reporter cells. Two variants of IL-4 with previously characterized (partial) antagonistic properties were also expressed as membrane-bound fusion proteins and were tested for their activity in the immobilized state. In comparison with bacteria displaying wild-type IL-4, E. coli clones presenting variants IL-4 Y124G and Y124D showed diminished or abolished activity, respectively, on murine reporter cells. The relative signaling potencies of the immobilized IL-4 variants thus closely mirror the agonistic properties of the corresponding soluble cytokines. This approach should be generally applicable for the mutational analysis of numerous signal mediators that trigger cellular responses through dimerization of transmembrane receptors.     

Friendships, peer acceptance, and group membership: relations to academic achievement in middle school

Polypharmacy is commonly encountered in human immunodeficiency virus (HIV)-positive patients, and the risk and frequency of drug-drug interactions are significant in this patient population. Most HIV-positive patients receive the antiretroviral drug zidovudine (3'-azido-3'-deoxythymidine, ZDV), the first drug to be approved for the treatment of HIV. Many drug interactions with ZDV have already been reported. As HIV pharmacotherapy becomes more complex, the potential for drug-drug interactions is likely to increase significantly.     

Heterotroph anoxic yield in anoxic aerobic activated sludge systems treating municipal wastewater

As input to the steady state design and kinetic simulation models for the activated sludge system, the correct value for the heterotroph anoxic yield is essential to provide reliable estimates for the system denitrification potential. This paper examines activated sludge anoxic yield values in the literature, and presents experimental data quantifying the value. In the literature, in terms of the structure of ASM1 and similar models, theoretically it has been shown that the anoxic yield should be reduced to approximately 0.79 the value of the aerobic yield. This theoretical value is validated with data from corresponding aerobic OUR and anoxic nitrate time profiles in a batch fed laboratory scale long sludge age activated sludge system treating municipal wastewater. The value also is in close agreement with values in the literature measured with both artificial substrates and municipal wastewater. Thus, it is concluded that, in ASM1 and similar models, for an aerobic yield of 0.67mg COD/mg COD, the anoxic yield should be about 0.53 mg COD/mg COD. Including such a lower anoxic yield in ASM1 and similar models will result in a significant increase in denitrification potential, due to increased denitrification with wastewater RBCOD as substrate. In terms of the structure of ASM3, for the proposed substrate storage yields and the aerobic yield of 0.63 mg COD/mg COD, experimental data indicate that the corresponding anoxic yield should be about 0.42 mg COD/mg COD. This is significantly lower than the proposed value of 0.54 mg COD/mg COD, and requires further investigation.     

DASS Good: Explainable Data Mining of Spatial Cohort Data

Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk. We describe the co-design of a modeling system, DASS, to support the hybrid human-machine development and validation of predictive models for estimating long-term toxicities related to radiotherapy doses in head and neck cancer patients. Developed in collaboration with domain experts in oncology and data mining, DASS incorporates human-in-the-loop visual steering, spatial data, and explainable AI to augment domain knowledge with automatic data mining. We demonstrate DASS with the development of two practical clinical stratification models and report feedback from domain experts. Finally, we describe the design lessons learned from this collaborative experience.