What UK graduate employers think they want and what university business schools think they provide

This is tha authors' PDF version of an article published in International Journal of Management Concepts and Philosophy© 2009. The definitive version is available at www.inderscience.comThis paper evaluates the increasing focus on the development of students' competencies and skills for management, in university business schools. The debate suggests that deeper understandings, concerning the role of managers are being sacrificed at the hands of an instrumentalist/technicist agenda focusing on competencies and skills. The paper adds to the discussion by scrutinising and applying theory from the literatures of occupational practice, knowledge and learning. Data is presented from sixty four job advertisements stipulating the competencies and skills required of applicants and which illustrate the premium put upon personal practice knowledge. By taking a critical management perspective students can begin to understand the social context and power-based nature of management practice in the workplace. While universities may try to further fulfil the 'narrow', industry-led, competency focus, early indications suggest that universities may possess a good deal of freedom in designing pedagogies supportive of a critical agenda

Connectivity of generating graphs of nilpotent groups

Let $G$ be $2$-generated group. The generating graph of $\Gamma(G)$ is the graph whose vertices are the elements of $G$ and where two vertices $g$ and $h$ are adjacent if $G=\langle g,h\rangle$. This graph encodes the combinatorial structure of the distribution of generating pairs across $G$. In this paper we study several natural graph theoretic properties related to the connectedness of $\Gamma(G)$ in the case where $G$ is a finite nilpotent group. For example, we prove that if $G$ is nilpotent, then the graph obtained from $\Gamma(G)$ by removing its isolated vertices is maximally connected and, if $|G| \geq 3$, also Hamiltonian. We pose several questions.Comment: 11 pages; to appear in Algebraic Combinatoric

A Novel and Fast Approach for Population Structure Inference Using Kernel-PCA and Optimization (PSIKO)

Population structure is a confounding factor in Genome Wide Association Studies, increasing the rate of false positive associations. In order to correct for it, several model-based algorithms such as ADMIXTURE and STRUCTURE have been proposed. These tend to suffer from the fact that they have a considerable computational burden, limiting their applicability when used with large datasets, such as those produced by Next Generation Sequencing (NGS) techniques. To address this, non-model based approaches such as SNMF and EIGENSTRAT have been proposed, which scale better with larger data. Here we present a novel non-model based approach, PSIKO, which is based on a unique combination of linear kernel-PCA and least-squares optimization and allows for the inference of admixture coefficients, principal components, and number of founder populations of a dataset. PSIKO has been compared against existing leading methods on a variety of simulation scenarios, as well as on real biological data. We found that in addition to producing results of the same quality as other tested methods, PSIKO scales extremely well with dataset size, being considerably (up to 30 times) faster for longer sequences than even state of the art methods such as SNMF. PSIKO and accompanying manual are freely available at https://www.uea.ac.uk/computing/psiko

Optical analysis of crystal growth

Processing and data reduction of holographic images from Spacelab presents some interesting challenges in determining the effects of microgravity on crystal growth processes. Evaluation of several processing techniques, including the Computerized Holographic Image Processing System and the image processing software ITEX150, will provide fundamental information for holographic analysis of the space flight data

Reduce fluid experiment system flight data from IML-1

Processing and data reduction of holographic images from Spacelab presents some interesting challenges in determining the effects of microgravity on crystal growth processes. Evaluation of several processing techniques, including the Computerized Holographic Image Processing System and the Software Development Package (SDP151) will provide fundamental information for holographic and schlieren analysis of the space flight data

Empowering Community Health Workers in Guatemala

Introduction: Community health workers (CHW) have been integral in helping middle- and low-income countries. This research paper discusses the benefits of the involvement of CHWs in health screenings. Methods: Health screenings were performed for three rural communities in Guatemala, in 2021, alongside a church in Zacapa, to identify community wide health risks. The screenings included a detailed questionnaire that collected demographic data, height and weight, a blood glucose check, a hemoglobin check, and a blood pressure reading. Additional nutritional data was collected to understand diet patterns and habits. In-depth educational sessions were done with the CHWs, emphasizing preventative care, and the teach-back method was used to verify the effectiveness of instruction. Results: Educational efforts were measured by accurate demonstrations and correct answers to questions at the end of the sessions. The results yielded 47% of the CHW’s displayed a correct return demonstration on the first try, 33% did on their second try, and 20% on their third. Conclusion/Limitations/Recommendations: Using the methods described above and the data collected on previous trips, the study allowed for health screenings and education, along with the resources to continue screenings independently. Some limitations of this study include participant age or previous illness, along with the missing data from the 2020 trip, which was postponed due to COVID-19. Recommendations include first-aid response training to combat the limited emergency medical services and additional studies to continually educate the communities in Guatemala

EFFECTS OF METHOTREXATE ON PROLIFERATION OF HUMAN KERATINOCYTES IN VITRO

Normal human keratinocytes, propagated as epithelial outgrowths in vitro, were exposed to different concentrations of methotrexate (MTX) for different periods of time. After a 1-hr exposure, DNA synthesis was inhibited in a reversible manner. No change in the mitotic index was observed. After a 6-hr exposure, both DNA synthesis and mitosis were inhibited, again in a reversible fashion. Prolonged exposure (24 hr) resulted in irreversible mitotic inhibition even when followed by recovery periods of 168 hr. The effective concentrations of MTX in vitro were similar to those described previously in vivo

An Exploration of Trust in Community Leadership Contexts

This qualitative exploratory study of effective community engagement process examines community leader’s perceptions of their experiences and the role fostering and building trust plays in producing sustainable change in a Midwestern regional context. The purpose of this study was to explore how trust interacts with asset-based thinking and social learning experiences, including trauma-informed awareness, meaning-making, and empathy, to support community engagement efforts. The research team interviewed 26 individuals who were selected via purposive sampling. Study participants were active in their communities and practitioners in their respective professions. The study identified five overarching themes that emerged from participant interviews, including themes related to community leadership and engagement; community leaders fostering trust by extending trust; the influences of trauma, meaning-making, and empathy; and the use of social learning experiences to build trust and enhance shared vision; and innovative strategies to foster community engagement. Community leaders demonstrated numerous forms of caregiving behavior and cultivated an empathetic approach to humanity. Similar to Barnes & Schmitz (2016), we conclude that effective community engagement is a profoundly transformational process that incorporates a bottom-up approach instead of a top-down approach. Our community engagement model shows a continual cycle of learning through trauma-informed practice, meaning-making, and the cultivation of empathy. When community leaders apply this learning to asset-based approaches, social behavioral change can be facilitated within community contexts. Our research suggests that each community member can be empowered with a voice, a voice that builds trust, a voice that is strengthened through community engagement