Perceptions regarding implementation of the college model reorganisation in the University of KwaZulu-Natal College of Health Sciences.

Masters Degree. University of KwaZulu-Natal, Durban.The College Model organisational structure was implemented at the University of KwaZulu-Natal after its inception in 2004. In 2010 the organisational structure was reviewed. The outcome proposed numerous changes resulting in the College Model Reorganisation (CMR) in 2011. The most significant change was removing the faculty layer, resulting in a two-layer structure of Colleges and Schools. It also included the reduction, through consolidation, in schools from 54 to 19. This study was conducted to ascertain the perceptions of middle managers regarding implementation of the CMR in the UKZN College of Health Sciences. The literature revealed that whilst there had been studies conducted to determine the impact of the CMR on the support staff within UKZN, there appeared to have been no review of the implementation of the CMR. The literature review included Higher Education Institutions and the impact of the pandemic, change and organisational change in the form of downsizing, restructuring, and reorganisation, as well as change management, the leadership role in change, and change management theories. This study aimed to determine if the purpose of the CMR had been achieved, the challenges experienced by middle managers in implementation, and the factors to assist in embedding the College Model. It is hoped that the study will provide the University with learning outcomes regarding the CMR to improve the implementation of any further change endeavours, including Project Renewal. This study was qualitative with purposive sampling of middle managers used in an interpretive approach. Semi-structured interviews were conducted with 12 staff (academic and professional services) from CHS middle management layer. Deductive thematic analysis was used. The majority of participants understood the purpose of the CMR. However, there were varied perceptions regarding the achievement of the CMR objectives. The adverse effects of uncertainty, fear, and mistrust generated by the top-down non-consultative approach, lack of engagement and the impact on the psychological contract of professional services employees were evident and need urgent repair. A knowledge management and sharing culture need to be implemented. It was strongly recommended that a review be conducted of the CMR and implementation of a change and communication strategy for the future

Survival and population dynamics of the Marabou Stork in an isolated population, Swaziland

Investigating the ecology of long lived birds is particularly challenging owing to the time scales involved. Here an analysis is presented of a long term study of the survival and population dynamics of the marabou stork (Leptoptilos crumeniferus), a wide ranging scavenging bird from Sub-Saharan Africa. Using resightings data of tagged nestlings and free flying birds we show that the stork population can be divided into three general life stages with unique survival probabilities and fecundities. Fecundity of the storks is inversely related to rainfall during their breeding season. Corroborative evidence for a metapopulation structure is discussed highlighting the impact of the Swaziland birds on the ecology of the species in the broader region. The importance of tag loss or illegibility over time is highlighted. Clearly, any attempt at conserving a species will require a detailed understanding of its population structure, of the sort examined here

Survival and population dynamics of the marabou stork in an isolated population, Swaziland.

Investigating the ecology of long lived birds is particularly challenging owing to the time scales involved. Here an analysis is presented of a long term study of the survival and population dynamics of the marabou stork (Leptoptilos crumeniferus), a wide ranging scavenging bird from Sub-Saharan Africa. Using resightings data of tagged nestlings and free flying birds we show that the stork population can be divided into three general life stages with unique survival probabilities and fecundities. Fecundity of the storks is inversely related to rainfall during their breeding season. Corroborative evidence for a metapopulation structure is discussed highlighting the impact of the Swaziland birds on the ecology of the species in the broader region. The importance of tag loss or illegibility over time is highlighted. Clearly, any attempt at conserving a species will require a detailed understanding of its population structure, of the sort examined here

Motoriese vaardighede van eerstejaar onderwysstudente in menslike bewegingstudies

The facilitating of Human Movement Studies form an important part of a learner's total development. The World Health Organization found that more than two thirds of young people are not sufficiently physically active (Brundtland, 2002: 2). This lack of movement above all entails inadequate physical development. The aim of this study is to determine the level of the motor skills of first year students by using a test battery which was developed by the researchers. The level of motor skills was recorded by means of a five point scale. It was found that more than half of the respondents' motor skills were insufficiently developed. The article concludes with the recommendation that physical education students and teachers need to improve their own levels of motor skills in order to develop movement activities significantly. There should also be a clear distinction between movement activities as part of the formal academic programme and activities as part of an extra mural activity plan

Graph showing the growth of the total population and each component stage over a 50 year period commencing in 1962.

<p>The initial population was set to 10 females in this case. λ = 1.0212.</p

Values for the stable age distribution and the reproductive value of the life stages as given by the right and left eigenvectors of the matrix respectively.

<p>Values for the stable age distribution and the reproductive value of the life stages as given by the right and left eigenvectors of the matrix respectively.</p

Parameters used in matrix.

<p>Fx = Fecundity; Px = Probability of remaining in age class at next year; Gx = Probability of moving up an age class at next year.</p

Map showing the distribution of marabou stork nesting colonies known to be active since 1990 in southern Africa (south of the Zambezi and Cunene rivers).

<p>The nesting colonies are represented by black circles and are as follows: (A) Hlane National Park, Swaziland <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#pone.0046434-Monadjem2" target="_blank">[12]</a>; (B) Gonarezhou National Park, Zimbabwe <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#pone.0046434-Mundy1" target="_blank">[14]</a>; (C) Imbgwa Farm, Zimbabwe <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#pone.0046434-Mundy1" target="_blank">[14]</a>; (D) Carswell Farm, Zimbabwe <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#pone.0046434-Mundy1" target="_blank">[14]</a>; (E) Matusadona National Park, Zimbabwe <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#pone.0046434-Mundy1" target="_blank">[14]</a>; (F) Binga, Zimbabwe <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#pone.0046434-Mundy1" target="_blank">[14]</a>; (G) Okavango Delta, Botswana. The hatching represents all areas within 1500 km of these nesting colonies and therefore within dispersal distance of recently fledged chicks (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0046434#s4" target="_blank">Discussion</a>).</p

The candidate models used to estimate survival in free-flying marabou storks tagged in South Africa between 2007 and 2011, and resighted across southern Africa.

<p>Estimates of survival (phi) and recapture (p) were modeled with time (t), and/or age class of the birds (age). Age1 refers to age classes of 1^st year birds, age2 to subadults (2^nd to 4^th year birds) and age3 to adults (≥5^th year birds). The inclusion or exclusion of interactions in the models are symbolized by (*) or (+), respectively. The number of parameters is indicated by “n”. The models are arranged from best (top of table) to worst (bottom).</p