The artist's emotional response to environment as reflected in painting

This paper will describe the process of painting as being a consequence of the artist's individual emotional response to her environment. The artist's response is reflected in her work. The effect the response has on the process of painting is the major concern of the writer at this time. An attempt will be made to describe the beginning of the emotional response and how it leads to the process of painting. The observation is carried to the point at -which a given painting began to take shape. The forming of an idea from such emotional response coincides with the impulse to paint. The description of the process of painting will be made through an analysis of ten of the artist's paintings

The Global Burden of Disease Study 2010: Interpretation and Implications for the Neglected Tropical Diseases

This article analyzes the "Global Burden of Disease Study 2010" and examines the study's implications for neglected tropical diseases

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

Towards a competency-based doctoral curriculum at the University of Zambia: lessons from practice

We describe a collaborative, iterative, and participatory process that we undertook to develop and adopt a competency-based doctoral curriculum framework at the University of Zambia. There needs to be more than the traditional unstructured apprenticeship of PhD training in a knowledge-based economy where PhD graduates are expected to contribute to industry problem-solving. The lack of industry-driven competencies and, to some extent, limited skills possessed by PhD graduates relative to the demands of employers has led to the misclassification of doctoral degrees as mere paper certificates. Further, under traditional PhD training without specific core competencies, it has led to criticisms of such PhD studies as a waste of resources. The calls to rethink doctoral development in broader employment contexts led many countries to redesign their PhD programs. Training has increasingly introduced industrial linkages and industry-defined research projects to increase the attractiveness of doctoral students. Whereas developed countries have made significant reforms towards competency-based PhD training, little or nothing has been done in developing countries, especially in sub-Saharan Africa. This against the demands that Africa needs more than 100,000 PhDs in the next decade to spur economic development. Against this background, the University of Zambia has developed an industry-driven structured competency-based PhD curriculum framework. The framework will guide and support the development of standardized program-specific PhD curricula, delivery, and assessment of competencies at the University of Zambia, ensuring that doctoral students acquire skills and demonstrate core competencies that are transferable and applicable in industry settings. This framework focuses on the development of specific competencies that are necessary for successful PhD completion. The competencies are divided into three main categories: research, teaching, and professional development. Each category is then broken down into ten core competencies from which respective doctoral programs will develop sub-competencies. It is from these core competencies and sub-competencies that learning outcomes, assessment methods, and teaching activities are developed. It is envisioned that this new competency-based doctoral curriculum framework will be a helpful tool in training a cadre of professionals and researchers who benefit the industry and contribute to economic and societal development

Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases

Quantitative analysis and mathematical models are useful tools in informing strategies to control or eliminate disease. Currently, there is an urgent need to develop these tools to inform policy to achieve the 2020 goals for neglected tropical diseases (NTDs). In this paper we give an overview of a collection of novel model-based analyses which aim to address key questions on the dynamics of transmission and control of nine NTDs: Chagas disease, visceral leishmaniasis, human African trypanosomiasis, leprosy, soil-transmitted helminths, schistosomiasis, lymphatic filariasis, onchocerciasis and trachoma. Several common themes resonate throughout these analyses, including: the importance of epidemiological setting on the success of interventions; targeting groups who are at highest risk of infection or re-infection; and reaching populations who are not accessing interventions and may act as a reservoir for infection,. The results also highlight the challenge of maintaining elimination ‘as a public health problem’ when true elimination is not reached. The models elucidate the factors that may be contributing most to persistence of disease and discuss the requirements for eventually achieving true elimination, if that is possible. Overall this collection presents new analyses to inform current control initiatives. These papers form a base from which further development of the models and more rigorous validation against a variety of datasets can help to give more detailed advice. At the moment, the models’ predictions are being considered as the world prepares for a final push towards control or elimination of neglected tropical diseases by 2020

Quantitative analyses and modelling to support achievement of the 2020 goals for nine neglected tropical diseases

Quantitative analysis and mathematical models are useful tools in informing strategies to control or eliminate disease. Currently, there is an urgent need to develop these tools to inform policy to achieve the 2020 goals for neglected tropical diseases (NTDs). In this paper we give an overview of a collection of novel model-based analyses which aim to address key questions on the dynamics of transmission and control of nine NTDs: Chagas disease, visceral leishmaniasis, human African trypanosomiasis, leprosy, soil-transmitted helminths, schistosomiasis, lymphatic filariasis, onchocerciasis and trachoma. Several common themes resonate throughout these analyses, including: the importance of epidemiological setting on the success of interventions; targeting groups who are at highest risk of infection or re-infection; and reaching populations who are not accessing interventions and may act as a reservoir for infection,. The results also highlight the challenge of maintaining elimination 'as a public health problem' when true elimination is not reached. The models elucidate the factors that may be contributing most to persistence of disease and discuss the requirements for eventually achieving true elimination, if that is possible. Overall this collection presents new analyses to inform current control initiatives. These papers form a base from which further development of the models and more rigorous validation against a variety of datasets can help to give more detailed advice. At the moment, the models' predictions are being considered as the world prepares for a final push towards control or elimination of neglected tropical diseases by 2020