Leadership and emotional intelligence in nursing and midwifery education and practice: a discussion paper

Aim
A discussion of the concepts of leadership and emotional intelligence in nursing and midwifery education and practice.

Background
The need for emotionally intelligent leadership in the health professions is acknowledged internationally throughout the nursing and midwifery literature. The concepts of emotional intelligence and emotional-social intelligence have emerged as important factors for effective leadership in the healthcare professions and require further exploration and discussion. This paper will explore these concepts and discuss their importance in the healthcare setting with reference to current practices in the UK, Ireland and internationally.

Design
Discussion paper.

Data sources
A search of published evidence from 1990–2015 using key words (as outlined below) was undertaken from which relevant sources were selected to build an informed discussion.

Implications for nursing/midwifery
Fostering emotionally intelligent leadership in nursing and midwifery supports the provision of high quality and compassionate care. Globally, leadership has important implications for all stakeholders in the healthcare professions with responsibility for maintaining high standards of care. This includes all grades of nurses and midwives, students entering the professions, managerial staff, academics and policy makers.

Conclusion
This paper discusses the conceptual models of leadership and emotional intelligence and demonstrates an important link between the two. Further robust studies are required for ongoing evaluation of the different models of emotional intelligence and their link with effective leadership behaviour in the healthcare field internationally. This is of particular significance for professional undergraduate education to promote ongoing compassionate, safe and high quality standards of care.

In vitro and in vivo evaluation of lyophilized bioprosthetic valve

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A critical appraisal of clinical trials conducted and subsequent drug approvals in India and South Africa

Objectives: To assess the relation between the number of clinical trials conducted and respective new drug approvals in India and South Africa. Design: Construction and analysis of a comprehensive database of completed randomised controlled clinical trials based on clinicaltrials.gov from 1 January 2005 to 31 December 2010 and drug approval data from 2006 until 2013 for India and South Africa. Setting: USA, the EU, India and South Africa. Main outcome measures: Percentage of completed randomised clinical trials for an Investigational Medicinal Product (IMP) leading to new drug approval in India and South Africa. Results: A total of 622 eligible randomised controlled trials were identified as per search criteria for India and South Africa. Clustering them for the same sponsor and the same Investigational New Drug (IND) resulted in 453 eligible trials, that is, 224 for India and 229 for South Africa. The distribution of the market application approvals between the EU/USA as well as India and South Africa revealed that out of clinical trials with the participation of test centres in India and/or South Africa, 39.6% (India) clinical trials and 60.1% (South Africa) clinical trials led to market authorisation in the EU/USA without a New Drug Application (NDA) approval in India or South Africa. Conclusions: Despite an increase in clinical trial activities, there is a clear gap between the number of trials conducted and market availability of these new drugs in India and South Africa. Drug regulatory authorities, investigators, institutional review boards and patient groups should direct their efforts to ensuring availability of new drugs in the market that have been tested and researched on their population.

Altered regulatory response of Rab7a and Rab9 in MM1 and VV2 subtype of Creutzfeldt-Jakob disease

The present study was undertaken to identify proteins interacting with PrPC that could provide new insights into its physiological functions and pathological role. We performed a target search for lysosomal network protein, Rab7a and Rab9, in frontal cortex and cerebellum of human brain from patients with sCJD-MM1 and sCJD-VV2. The intracellular level of Rab7a was increased significantly, when compared with healthy age-matched control. Interactions of PrPC and Rab7a/Rab9 were further investigated by using confocal laser scanning microscopy. Immunofluorescence results suggested potential interactions of Rab7a and PrPC. siRNA against the Rab7a gene was used to knockdown the expression of Rab7a protein in primary cell culture of cortical neurons from wild type mice. This depleted Rab7a resulted an impairment of PrPC trafficking leading to an accumulation of PrPC in the endocytosis pathway. Furthermore, interactions of Tau and Rab7a were investigated by using western blot analysis and confocal laser scanning microscopy. Cell cultures of cortex of wildtype mice were treated with siRNA-Tau, siRNA-Rab7 and control siRNA followed by immunofluorescence. The results of immunofluorescence suggested potential interaction of Tau and Rab7a. Cells lines treated with siRNA-Tau, the intracellular levels of Rab7a and Rab9 significantly increases and their localization is also modified. When we transfected this cells lines with siRNA-rab7a the accumulation of Tau decreases in cytosolic region and their localization was also modified when compared with control cells. In conclusion, this study may help to understand and characterize the subtype specific disease progression in CJD cases. Furthermore, it could be a step ahead to development of new treatment strategies for diseases subtype specific manner.

ENABLING HARDWARE TECHNOLOGIES FOR AUTONOMY IN TINY ROBOTS: CONTROL, INTEGRATION, ACTUATION

The last two decades have seen many exciting examples of tiny robots from a few cm3 to less than one cm3. Although individually limited, a large group of these robots has the potential to work cooperatively and accomplish complex tasks. Two examples from nature that exhibit this type of cooperation are ant and bee colonies. They have the potential to assist in applications like search and rescue, military scouting, infrastructure and equipment monitoring, nano-manufacture, and possibly medicine. Most of these applications require the high level of autonomy that has been demonstrated by large robotic platforms, such as the iRobot and Honda ASIMO. However, when robot size shrinks down, current approaches to achieve the necessary functions are no longer valid. This work focused on challenges associated with the electronics and fabrication. We addressed three major technical hurdles inherent to current approaches: 1) difficulty of compact integration; 2) need for real-time and power-efficient computations; 3) unavailability of commercial tiny actuators and motion mechanisms. The aim of this work was to provide enabling hardware technologies to achieve autonomy in tiny robots. We proposed a decentralized application-specific integrated circuit (ASIC) where each component is responsible for its own operation and autonomy to the greatest extent possible. The ASIC consists of electronics modules for the fundamental functions required to fulfill the desired autonomy: actuation, control, power supply, and sensing. The actuators and mechanisms could potentially be post-fabricated on the ASIC directly. This design makes for a modular architecture. The following components were shown to work in physical implementations or simulations: 1) a tunable motion controller for ultralow frequency actuation; 2) a nonvolatile memory and programming circuit to achieve automatic and one-time programming; 3) a high-voltage circuit with the highest reported breakdown voltage in standard 0.5 μm CMOS; 4) thermal actuators fabricated using CMOS compatible process; 5) a low-power mixed-signal computational architecture for robotic dynamics simulator; 6) a frequency-boost technique to achieve low jitter in ring oscillators. These contributions will be generally enabling for other systems with strict size and power constraints such as wireless sensor nodes.

The role of new information and communication technologies (ICTs) in information and communication in science. A conceptual framework and empirical study

Problem This dissertation presents a literature-based framework for communication in science (with the elements partners, purposes, message, and channel), which it then applies in and amends through an empirical study of how geoscientists use two social computing technologies (SCTs), blogging and Twitter (both general use and tweeting from conferences). How are these technologies used and what value do scientists derive from them? Method The empirical part used a two-pronged qualitative study, using (1) purposive samples of ~400 blog posts and ~1000 tweets and (2) a purposive sample of 8 geoscientist interviews. Blog posts, tweets, and interviews were coded using the framework, adding new codes as needed. The results were aggregated into 8 geoscientist case studies, and general patterns were derived through cross-case analysis. Results A detailed picture of how geoscientists use blogs and twitter emerged, including a number of new functions not served by traditional channels. Some highlights: Geoscientists use SCTs for communication among themselves as well as with the public. Blogs serve persuasion and personal knowledge management; Twitter often amplifies the signal of traditional communications such as journal articles. Blogs include tutorials for peers, reviews of basic science concepts, and book reviews. Twitter includes links to readings, requests for assistance, and discussions of politics and religion. Twitter at conferences provides live coverage of sessions. Conclusions Both blogs and Twitter are routine parts of scientists' communication toolbox, blogs for in-depth, well-prepared essays, Twitter for faster and broader interactions. Both have important roles in supporting community building, mentoring, and learning and teaching. The Framework of Communication in Science was a useful tool in studying these two SCTs in this domain. The results should encourage science administrators to facilitate SCT use of scientists in their organization and information providers to search SCT documents as an important source of information.

Sense-making in theory and practice: a metatheoretical foundation and application for health information seeking

This thesis attempts to provide deeper historical and theoretical grounding for sense-making, thereby illustrating its applicability to practical information seeking research. In Chapter One I trace the philosophical origins of Brenda Dervin’s theory known as “sense making,” reaching beyond current scholarship that locates the origins of sense-making in twentieth-century Phenomenology and Communication theory and find its rich ontological, epistemological, and etymological heritage that dates back to the Pre-Socratics. After exploring sense-making’s Greek roots, I examine sense-making’s philosophical undercurrents found in Hegel’s Phenomenology of Spirit (1807), where he also returns to the simplicity of the Greeks for his concept of sense. With Chapter Two I explore sense-making methodology and find, in light of the Greek and Hegelian dialectic, a dialogical bridge connecting sense-making’s theory with pragmatic uses. This bridge between Dervin’s situation and use occupies a distinct position in sense-making theory. Moreover, building upon Brenda Dervin’s model of sense-making, I use her metaphors of gap and bridge analogy to discuss the dialectic and dialogic components of sense making. The purpose of Chapter Three is pragmatic – to gain insight into the online information-seeking needs, experiences, and motivation of first-degree relatives (FDRs) of breast cancer survivors through the lens of sense-making. This research analyses four questions: 1) information-seeking behavior among FDRs of cancer survivors compared to survivors and to undiagnosed, non-related online cancer information seekers in the general population, 2) types of and places where information is sought, 3) barriers or gaps and satisfaction rates FDRs face in their cancer information quest, and 4) types and degrees of cancer information and resources FDRs want and use in their information search for themselves and other family members. An online survey instrument designed to investigate these questions was developed and pilot tested. Via an email communication, the Susan Love Breast Cancer Research Foundation distributed 322,000 invitations to its membership to complete the survey, and from March 24th to April 5th 10,692 women agreed to take the survey with 8,804 volunteers actually completing survey responses. Of the 8,804 surveys, 95% of FDRs have searched for cancer information online, and 84% of FDRs use the Internet as a sense-making tool for additional information they have received from doctors or nurses. FDRs report needing much more information than either survivors or family/friends in ten out of fifteen categories related to breast and ovarian cancer. When searching for cancer information online, FDRs also rank highest in several of sense-making’s emotional levels: uncertainty, confusion, frustration, doubt, and disappointment than do either survivors or friends and family. The sense-making process has existed in theory and praxis since the early Greeks. In applying sense–making’s theory to a contemporary problem, the survey reveals unaddressed situations and gaps of FDRs’ information search process. FDRs are a highly motivated group of online information seekers whose needs are largely unaddressed as a result of gaps in available online information targeted to address their specific needs. Since FDRs represent a quarter of the population, further research addressing their specific online information needs and experiences is necessary.

Sparse Signal Representation in Digital and Biological Systems

Theories of sparse signal representation, wherein a signal is decomposed as the sum of a small number of constituent elements, play increasing roles in both mathematical signal processing and neuroscience. This happens despite the differences between signal models in the two domains. After reviewing preliminary material on sparse signal models, I use work on compressed sensing for the electron tomography of biological structures as a target for exploring the efficacy of sparse signal reconstruction in a challenging application domain. My research in this area addresses a topic of keen interest to the biological microscopy community, and has resulted in the development of tomographic reconstruction software which is competitive with the state of the art in its field. Moving from the linear signal domain into the nonlinear dynamics of neural encoding, I explain the sparse coding hypothesis in neuroscience and its relationship with olfaction in locusts. I implement a numerical ODE model of the activity of neural populations responsible for sparse odor coding in locusts as part of a project involving offset spiking in the Kenyon cells. I also explain the validation procedures we have devised to help assess the model's similarity to the biology. The thesis concludes with the development of a new, simplified model of locust olfactory network activity, which seeks with some success to explain statistical properties of the sparse coding processes carried out in the network.

Selected Violin Concertos: In Search of a Missing Link

My dissertation presented seven violin concertos in three recital programs. Three of these concertos are acknowledged masterpieces performed in established concert venues throughout the world. They are the concertos of Mozart, Beethoven and Tchaikovsky. The other four are less standard and are composed by Viotti, Kreutzer, Rode and Spohr. These less standard concertos were popular during their time yet they seem not to have stood the test of time. A curriculum devoted exclusively to the standard concertos creates problems for the young violinist. The Mozart violin concertos are often the first standard concertos that the young violin student encounters. They are considered to be the least technically demanding of the standard concertos. The next most advanced standard concertos that the student will usually encounter are Bruch’s G minor concerto, Wieniawski’s D minor concerto and Barber’s concerto. The trouble is that the work on Mozart concertos does not adequately prepare a student for the next most advanced standard concerto. There is a discontinuous leap in the progression of technical difficulty between the Mozart concertos and the next most advanced concertos. Likewise the standard concerto repertoire provides no smooth historical or stylistic progression between the Mozart concertos and the next most advanced concertos. If the young violinist is limited to the standard repertoire then she has no smooth progression either technical, historical or stylistic. I seek to demonstrate that, by adding concertos of Spohr, Viotti, Kreutzer, and Rode to the standard violin curriculum, one could remedy this problem. The first and third recitals were performed in the Gildenhorn Recital Hall and the second recital in the School of Music’s Smith Lecture Hall, both at the University of Maryland. All three recitals can be found in the Digital Repository at the University of Maryland (DRUM).

Soft computing based parameter identification in pavements and geomechanical systems

Accurate estimation of road pavement geometry and layer material properties through the use of proper nondestructive testing and sensor technologies is essential for evaluating pavement’s structural condition and determining options for maintenance and rehabilitation. For these purposes, pavement deflection basins produced by the nondestructive Falling Weight Deflectometer (FWD) test data are commonly used. The nondestructive FWD test drops weights on the pavement to simulate traffic loads and measures the created pavement deflection basins. Backcalculation of pavement geometry and layer properties using FWD deflections is a difficult inverse problem, and the solution with conventional mathematical methods is often challenging due to the ill-posed nature of the problem. In this dissertation, a hybrid algorithm was developed to seek robust and fast solutions to this inverse problem. The algorithm is based on soft computing techniques, mainly Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs) as well as the use of numerical analysis techniques to properly simulate the geomechanical system. A widely used pavement layered analysis program ILLI-PAVE was employed in the analyses of flexible pavements of various pavement types; including full-depth asphalt and conventional flexible pavements, were built on either lime stabilized soils or untreated subgrade. Nonlinear properties of the subgrade soil and the base course aggregate as transportation geomaterials were also considered. A computer program, Soft Computing Based System Identifier or SOFTSYS, was developed. In SOFTSYS, ANNs were used as surrogate models to provide faster solutions of the nonlinear finite element program ILLI-PAVE. The deflections obtained from FWD tests in the field were matched with the predictions obtained from the numerical simulations to develop SOFTSYS models. The solution to the inverse problem for multi-layered pavements is computationally hard to achieve and is often not feasible due to field variability and quality of the collected data. The primary difficulty in the analysis arises from the substantial increase in the degree of non-uniqueness of the mapping from the pavement layer parameters to the FWD deflections. The insensitivity of some layer properties lowered SOFTSYS model performances. Still, SOFTSYS models were shown to work effectively with the synthetic data obtained from ILLI-PAVE finite element solutions. In general, SOFTSYS solutions very closely matched the ILLI-PAVE mechanistic pavement analysis results. For SOFTSYS validation, field collected FWD data were successfully used to predict pavement layer thicknesses and layer moduli of in-service flexible pavements. Some of the very promising SOFTSYS results indicated average absolute errors on the order of 2%, 7%, and 4% for the Hot Mix Asphalt (HMA) thickness estimation of full-depth asphalt pavements, full-depth pavements on lime stabilized soils and conventional flexible pavements, respectively. The field validations of SOFTSYS data also produced meaningful results. The thickness data obtained from Ground Penetrating Radar testing matched reasonably well with predictions from SOFTSYS models. The differences observed in the HMA and lime stabilized soil layer thicknesses observed were attributed to deflection data variability from FWD tests. The backcalculated asphalt concrete layer thickness results matched better in the case of full-depth asphalt flexible pavements built on lime stabilized soils compared to conventional flexible pavements. Overall, SOFTSYS was capable of producing reliable thickness estimates despite the variability of field constructed asphalt layer thicknesses.

Comparing the expression of human DNA topoisomerase I in KM71H and X33 strains of Pichia pastoris

Background: Human is an essential cellular enzyme that is found in all human cells. As this enzyme is upregulated in cancer cells exceedingly, it is used as a target for cancer chemotherapeutic drug development. As such, producing the in-house enzyme for the purpose to speed up the search for more cost-effective and target specific hTopoI inhibitors is warranted. This study aims to compare the optimised conditions for the expression of hTopoI in KM71H (MutS) and X33 (Mut+) strains of Pichia pastoris P. pastoris transfected with an hTopoI recombinant vector was used for the optimization of a higher level of hTopoI expression. Results: In the process, fed-batch cultivation parameters that influence the expression of hTopoI, such as culture temperature, methanol induction and feeding strategy, were optimised in the transfected KM71H and X33 P. pastoris strains in a shake flask system. The cell density and total protein concentration (protein level) of transfected P. pastoris were compared to determine the optimum culture conditions for each transfected P. pastoris strain. A higher hTopoI level was observed in the transfected KM71H culture supernatant (2.26 ng/mL) when the culture was incubated in the optimum conditions. Conclusions: This study demonstrated that MutS strain (KM71H) expressed and secreted a higher level of hTopoI heterologous protein in the presence of methanol compared to the Mut+ strain; X33 (0.75 ng/mL). However, other aspects of optimization, such as pH, should also be considered in the future, to obtain the optimum expression level of hTopoI in P. pastoris.

To be a woman here is to be invisible: in search of the dispossessed femininity in Middle-earth

In my thesis I examine J.R.R. Tolkien’s The Lord of the Rings (1954-55), the fantasy epic written on the basis of a fictional universe created by Tolkien, complete with elves, dwarves and other mystical creatures – with languages, alphabets and grammar created for all. While rich linguistically, Tolkien writes a decidedly male description of his world, often neglecting any acknowledgement of female existence. Tolkien’s monolithic stature amongst other fantasy authors made me conduct a feminist reading of The Lord of the Rings, with an eye for the way female experience is marginalized to the point of omission. Tolkien’s linguistic accomplishments have overshadowed the illogical aspects of his work, namely the omission of genders, societal classes and features of society necessary for the fictional universe to retain its cohesion. This cohesion suffers from a totally male experience in the novel which is willfully blind to these features I listed. My theoretical framework is built on ideas in Toril Moi’s Sex, Gender and the Body (2005) and bell hook’s Feminism is For Everybody (2000). Michel Foucault’s ideas of power and hidden histories assist in performing a close reading of the source text and interpreting the results. My thesis focuses on the transformation that the values associated with the concept of equality have undergone. This is best illustrated in the treatment of the few female characters in the novel – Galadriel, Éowyn and Arwen – as their beauty and existence interferes with the ordering of the male-dominated world.

Plantibodies in human and animal health: a review.

Background: Antibodies are essential part of vertebrates’ adaptive immune system; they can now be produced by transforming plants with antibody-coding genes from mammals/humans. Although plants do not naturally make antibodies, the plant-derived antibodies (plantibodies) have been shown to function in the same way as mammalian antibodies. Methods: PubMed and Google search engines were used to download relevant publications on plantibodies in medical and veterinary fields; the papers were reviewed and findings qualitatively described. Results: The process of bioproduction of plantibodies offers several advantages over the conventional method of antibody production in mammalian cells with the cost of antibody production in plants being substantially lesser. Contrary to what is possible with animal-derived antibodies, the process of making plantibodies almost exclusively precludes transfer of pathogens to the end product. Additionally, plants not only produce a relatively high yield of antibodies in a comparatively faster time, they also serve as cost-effective bioreactors to produce antibodies of diverse specificities. Conclusion: Plantibodies are safe, cost-effective and offer more advantages over animal-derived antibodies. Methods of producing them are described with a view to inspiring African scientists on the need to embrace and harness this rapidly evolving biotechnology in solving human and animal health challenges on the continent where the climate supports growth of diverse plants.

Strategic knowledge management: In search of a knowledge-based organizational model

This paper discusses the results and propositions of organizational knowledge management research conducted in the period 2001-2007. This longitudinal study had the unique goal of investigating and analyzing “Knowledge Management” (KM) processes effectively implemented in world class organizations. The main objective was to investigate and analyze the conceptions, motivations, practices, metrics and results of KM processes implemented in different industries. The first set of studies involved 20 world cases related in the literature and served as a basis for a theoretical framework entitled “KM Integrative Conceptual Mapping Proposition”. This theoretical proposal was then tested in a qualitative study in three large organizations in Brazil. The results of the qualitative study validated the mapping proposition and left questions for new research concerning the implementation of a knowledge-based organizational model strategy.