Managing teams: Comparing organizational and sport psychological approaches to teamwork

This paper examines how teams and teamwork research have been conceptualised in the fields of sport psychology and organizational psychology. Specifically, it provides a close inspection of the general theoretical assumptions that inhere in the two disciplines. The results of a discursive analysis of research literature suggest that the fields have significantly different ways of conceptualising teams and teamwork and that conceptual borrowing may prove fruitful. A key argument is however, that in order for meaningful cross-fertilisation to take place a sound understanding of these differences is necessary. Working from this premise, the essential differences between sport and organizational approaches to teams are outlined. The paper is concluded with a discussion of contributions that organizational psychology can make to understandings of sport-oriented teams.

Species-based and community-level approaches to conservation prioritization

One major reason for the global decline of biodiversity is habitat loss and fragmentation. Conservation areas can be designed to reduce biodiversity loss, but as resources are limited, conservation efforts need to be prioritized in order to achieve best possible outcomes. The field of systematic conservation planning developed as a response to opportunistic approaches to conservation that often resulted in biased representation of biological diversity. The last two decades have seen the development of increasingly sophisticated methods that account for information about biodiversity conservation goals (benefits), economical considerations (costs) and socio-political constraints. In this thesis I focus on two general topics related to systematic conservation planning. First, I address two aspects of the question about how biodiversity features should be valued. (i) I investigate the extremely important but often neglected issue of differential prioritization of species for conservation. Species prioritization can be based on various criteria, and is always goal-dependent, but can also be implemented in a scientifically more rigorous way than what is the usual practice. (ii) I introduce a novel framework for conservation prioritization, which is based on continuous benefit functions that convert increasing levels of biodiversity feature representation to increasing conservation value using the principle that more is better. Traditional target-based systematic conservation planning is a special case of this approach, in which a step function is used for the benefit function. We have further expanded the benefit function framework for area prioritization to address issues such as protected area size and habitat vulnerability. In the second part of the thesis I address the application of community level modelling strategies to conservation prioritization. One of the most serious issues in systematic conservation planning currently is not the deficiency of methodology for selection and design, but simply the lack of data. Community level modelling offers a surrogate strategy that makes conservation planning more feasible in data poor regions. We have reviewed the available community-level approaches to conservation planning. These range from simplistic classification techniques to sophisticated modelling and selection strategies. We have also developed a general and novel community level approach to conservation prioritization that significantly improves on methods that were available before. This thesis introduces further degrees of realism into conservation planning methodology. The benefit function -based conservation prioritization framework largely circumvents the problematic phase of target setting, and allowing for trade-offs between species representation provides a more flexible and hopefully more attractive approach to conservation practitioners. The community-level approach seems highly promising and should prove valuable for conservation planning especially in data poor regions. Future work should focus on integrating prioritization methods to deal with multiple aspects in combination influencing the prioritization process, and further testing and refining the community level strategies using real, large datasets.

Project Energise: Using participatory approaches and real time computer prompts to reduce occupational sitting and increase work time physical activity in office workers

Objectives This efficacy study assessed the added impact real time computer prompts had on a participatory approach to reduce occupational sedentary exposure and increase physical activity. Design Quasi-experimental. Methods 57 Australian office workers (mean [SD]; age = 47 [11] years; BMI = 28 [5] kg/m2; 46 men) generated a menu of 20 occupational ‘sit less and move more’ strategies through participatory workshops, and were then tasked with implementing strategies for five months (July–November 2014). During implementation, a sub-sample of workers (n = 24) used a chair sensor/software package (Sitting Pad) that gave real time prompts to interrupt desk sitting. Baseline and intervention sedentary behaviour and physical activity (GENEActiv accelerometer; mean work time percentages), and minutes spent sitting at desks (Sitting Pad; mean total time and longest bout) were compared between non-prompt and prompt workers using a two-way ANOVA. Results Workers spent close to three quarters of their work time sedentary, mostly sitting at desks (mean [SD]; total desk sitting time = 371 [71] min/day; longest bout spent desk sitting = 104 [43] min/day). Intervention effects were four times greater in workers who used real time computer prompts (8% decrease in work time sedentary behaviour and increase in light intensity physical activity; p < 0.01). Respective mean differences between baseline and intervention total time spent sitting at desks, and the longest bout spent desk sitting, were 23 and 32 min/day lower in prompt than in non-prompt workers (p < 0.01). Conclusions In this sample of office workers, real time computer prompts facilitated the impact of a participatory approach on reductions in occupational sedentary exposure, and increases in physical activity.

New Approaches to the Cannizzaro and Tishchenko Reactions

It is demonstrated that the titled reactions are best carried out at high concentrations, as indicated by mechanistic considerations: the observed high reaction orders and the possibility that the Cannizzaro reaction is driven by the hydrophobic effect, which effects proximity between the two molecules of the aldehyde reactant. The present studies have led to improved conditions, simplified workup, and excellent yields of products. The Tishchenko reaction converted benzaldehyde to benzyl benzoate with catalytic NaOMe/tetrahydrafuran in good yield, which is apparently unprecedented for this product of high commercial value.

Researching effective approaches to cleaning in hospitals: Protocol of the REACH study, a multi-site stepped-wedge randomised trial

Background The Researching Effective Approaches to Cleaning in Hospitals (REACH) study will generate evidence about the effectiveness and cost-effectiveness of a novel cleaning initiative that aims to improve the environmental cleanliness of hospitals. The initiative is an environmental cleaning bundle, with five interdependent, evidence-based components (training, technique, product, audit and communication) implemented with environmental services staff to enhance hospital cleaning practices. Methods/design The REACH study will use a stepped-wedge randomised controlled design to test the study intervention, an environmental cleaning bundle, in 11 Australian hospitals. All trial hospitals will receive the intervention and act as their own control, with analysis undertaken of the change within each hospital based on data collected in the control and intervention periods. Each site will be randomised to one of the 11 intervention timings with staggered commencement dates in 2016 and an intervention period between 20 and 50 weeks. All sites complete the trial at the same time in 2017. The inclusion criteria allow for a purposive sample of both public and private hospitals that have higher-risk patient populations for healthcare-associated infections (HAIs). The primary outcome (objective one) is the monthly number of Staphylococcus aureus bacteraemias (SABs), Clostridium difficile infections (CDIs) and vancomycin resistant enterococci (VRE) infections, per 10,000 bed days. Secondary outcomes for objective one include the thoroughness of hospital cleaning assessed using fluorescent marker technology, the bio-burden of frequent touch surfaces post cleaning and changes in staff knowledge and attitudes about environmental cleaning. A cost-effectiveness analysis will determine the second key outcome (objective two): the incremental cost-effectiveness ratio from implementation of the cleaning bundle. The study uses the integrated Promoting Action on Research Implementation in Health Services (iPARIHS) framework to support the tailored implementation of the environmental cleaning bundle in each hospital. Discussion Evidence from the REACH trial will contribute to future policy and practice guidelines about hospital environmental cleaning. It will be used by healthcare leaders and clinicians to inform decision-making and implementation of best-practice infection prevention strategies to reduce HAIs in hospitals. Trial registration Australia New Zealand Clinical Trial Registry ACTRN12615000325​505

New approaches to improve the cord blood unit hematopoietic progenitor cell content

Cord blood is a well-established alternative to bone marrow and peripheral blood stem cell transplantation. To this day, over 400 000 unrelated donor cord blood units have been stored in cord blood banks worldwide. To enable successful cord blood transplantation, recent efforts have been focused on finding ways to increase the hematopoietic progenitor cell content of cord blood units. In this study, factors that may improve the selection and quality of cord blood collections for banking were identified. In 167 consecutive cord blood units collected from healthy full-term neonates and processed at a national cord blood bank, mean platelet volume (MPV) correlated with the numbers of cord blood unit hematopoietic progenitors (CD34+ cells and colony-forming units); this is a novel finding. Mean platelet volume can be thought to represent general hematopoietic activity, as newly formed platelets have been reported to be large. Stress during delivery is hypothesized to lead to the mobilization of hematopoietic progenitor cells through cytokine stimulation. Accordingly, low-normal umbilical arterial pH, thought to be associated with perinatal stress, correlated with high cord blood unit CD34+ cell and colony-forming unit numbers. The associations were closer in vaginal deliveries than in Cesarean sections. Vaginal delivery entails specific physiological changes, which may also affect the hematopoietic system. Thus, different factors may predict cord blood hematopoietic progenitor cell numbers in the two modes of delivery. Theoretical models were created to enable the use of platelet characteristics (mean platelet volume) and perinatal factors (umbilical arterial pH and placental weight) in the selection of cord blood collections with high hematopoietic progenitor cell counts. These observations could thus be implemented as a part of the evaluation of cord blood collections for banking. The quality of cord blood units has been the focus of several recent studies. However, hemostasis activation during cord blood collection is scarcely evaluated in cord blood banks. In this study, hemostasis activation was assessed with prothrombin activation fragment 1+2 (F1+2), a direct indicator of thrombin generation, and platelet factor 4 (PF4), indicating platelet activation. Altogether three sample series were collected during the set-up of the cord blood bank as well as after changes in personnel and collection equipment. The activation decreased from the first to the subsequent series, which were collected with the bank fully in operation and following international standards, and was at a level similar to that previously reported for healthy neonates. As hemostasis activation may have unwanted effects on cord blood cell contents, it should be minimized. The assessment of hemostasis activation could be implemented as a part of process control in cord blood banks. Culture assays provide information about the hematopoietic potential of the cord blood unit. In processed cord blood units prior to freezing, megakaryocytic colony growth was evaluated in semisolid cultures with a novel scoring system. Three investigators analyzed the colony assays, and the scores were highly concordant. With such scoring systems, the growth potential of various cord blood cell lineages can be assessed. In addition, erythroid cells were observed in liquid cultures of cryostored and thawed, unseparated cord blood units without exogenous erythropoietin. This was hypothesized to be due to the erythropoietic effect of thrombopoietin, endogenous erythropoietin production, and diverse cell-cell interactions in the culture. This observation underscores the complex interactions of cytokines and supporting cells in the heterogeneous cell population of the thawed cord blood unit.

Approaches for improving the safety and efficacy of adenoviral gene therapy

Cancer is a devastating disease with poor prognosis and no curative treatment, when widely metastatic. Conventional therapies, such as chemotherapy and radiotherapy, have efficacy but are not curative and systemic toxicity can be considerable. Almost all cancers are caused due to changes in the genetic material of the transformed cells. Cancer gene therapy has emerged as a new treatment option, and past decades brought new insights in developing new therapeutic drugs for curing cancer. Oncolytic viruses constitute a novel therapeutic approach given their capacity to replicate in and kill specifically tumor cells as well as reaching tumor distant metastasis. Adenoviral gene therapy has been suggested to cause liver toxicity. This study shows that new developed adenoviruses, in particular Ad5/19p-HIT, can be redirected towards kidney while adenovirus uptake by liver is minimal. Moreover, low liver transduction resulted in a favorable tumor to liver ratio of virus load. Further, we established a new immunocompetent animal model Syrian hamsters. Wild type adenovirus 5 was found to replicate in Hap-T1 hamster tumors and normal tissues. There are no antiviral drugs available to inhibit adenovirus replication. In our study, chlorpromazine and cidofovir efficiently abrogated virus replication in vitro and showed significant reduction in vivo in tumors and liver. Once safety concerns were addressed together with the new given antiviral treatment options, we further improved oncolytic adenoviruses for better tumor penetration, local amplification and host system modulation. Further, we created Ad5/3-9HIF-Δ24-VEGFR-1-Ig, oncolytic adenovirus for improved infectivity and antiangiogenic effect for treatment of renal cancer. This virus exhibited increased anti-tumor effect and specific replication in kidney cancer cells. The key player for good efficacy of oncolytic virotherapy is the host immune response. Thus, we engineered a triple targeted adenovirus Ad5/3-hTERT-E1A-hCD40L, which would lead to tumor elimination due to tumor-specific oncolysis and apoptosis together with an anti-tumor immune response prompted by the immunomodulatory molecule. In conclusion, the results presented in this thesis constitute advances in our understanding of oncolytic virotherapy by successful tumor targeting, antiviral treatment options as a safety switch in case of replication associated side-effects, and modulation of the host immune system towards tumor elimination.  

Single-resolution and multiresolution extended-Kalman-filter-based reconstruction approaches to optical refraction tomography

The problem of reconstruction of a refractive-index distribution (RID) in optical refraction tomography (ORT) with optical path-length difference (OPD) data is solved using two adaptive-estimation-based extended-Kalman-filter (EKF) approaches. First, a basic single-resolution EKF (SR-EKF) is applied to a state variable model describing the tomographic process, to estimate the RID of an optically transparent refracting object from noisy OPD data. The initialization of the biases and covariances corresponding to the state and measurement noise is discussed. The state and measurement noise biases and covariances are adaptively estimated. An EKF is then applied to the wavelet-transformed state variable model to yield a wavelet-based multiresolution EKF (MR-EKF) solution approach. To numerically validate the adaptive EKF approaches, we evaluate them with benchmark studies of standard stationary cases, where comparative results with commonly used efficient deterministic approaches can be obtained. Detailed reconstruction studies for the SR-EKF and two versions of the MR-EKF (with Haar and Daubechies-4 wavelets) compare well with those obtained from a typically used variant of the (deterministic) algebraic reconstruction technique, the average correction per projection method, thus establishing the capability of the EKF for ORT. To the best of our knowledge, the present work contains unique reconstruction studies encompassing the use of EKF for ORT in single-resolution and multiresolution formulations, and also in the use of adaptive estimation of the EKF's noise covariances. (C) 2010 Optical Society of America

Numerical approaches to new particle formation and growth in the atmosphere

Aerosols impact the planet and our daily lives through various effects, perhaps most notably those related to their climatic and health-related consequences. While there are several primary particle sources, secondary new particle formation from precursor vapors is also known to be a frequent, global phenomenon. Nevertheless, the formation mechanism of new particles, as well as the vapors participating in the process, remain a mystery. This thesis consists of studies on new particle formation specifically from the point of view of numerical modeling. A dependence of formation rate of 3 nm particles on the sulphuric acid concentration to the power of 1-2 has been observed. This suggests nucleation mechanism to be of first or second order with respect to the sulphuric acid concentration, in other words the mechanisms based on activation or kinetic collision of clusters. However, model studies have had difficulties in replicating the small exponents observed in nature. The work done in this thesis indicates that the exponents may be lowered by the participation of a co-condensing (and potentially nucleating) low-volatility organic vapor, or by increasing the assumed size of the critical clusters. On the other hand, the presented new and more accurate method for determining the exponent indicates high diurnal variability. Additionally, these studies included several semi-empirical nucleation rate parameterizations as well as a detailed investigation of the analysis used to determine the apparent particle formation rate. Due to their high proportion of the earth's surface area, oceans could potentially prove to be climatically significant sources of secondary particles. In the lack of marine observation data, new particle formation events in a coastal region were parameterized and studied. Since the formation mechanism is believed to be similar, the new parameterization was applied in a marine scenario. The work showed that marine CCN production is feasible in the presence of additional vapors contributing to particle growth. Finally, a new method to estimate concentrations of condensing organics was developed. The algorithm utilizes a Markov chain Monte Carlo method to determine the required combination of vapor concentrations by comparing a measured particle size distribution with one from an aerosol dynamics process model. The evaluation indicated excellent agreement against model data, and initial results with field data appear sound as well.

Theoretical and computational approaches on heterogeneous nucleation

Nucleation is the first step of a first order phase transition. A new phase is always sprung up in nucleation phenomena. The two main categories of nucleation are homogeneous nucleation, where the new phase is formed in a uniform substance, and heterogeneous nucleation, when nucleation occurs on a pre-existing surface. In this thesis the main attention is paid on heterogeneous nucleation. This thesis wields the nucleation phenomena from two theoretical perspectives: the classical nucleation theory and the statistical mechanical approach. The formulation of the classical nucleation theory relies on equilibrium thermodynamics and use of macroscopically determined quantities to describe the properties of small nuclei, sometimes consisting of just a few molecules. The statistical mechanical approach is based on interactions between single molecules, and does not bear the same assumptions as the classical theory. This work gathers up the present theoretical knowledge of heterogeneous nucleation and utilizes it in computational model studies. A new exact molecular approach on heterogeneous nucleation was introduced and tested by Monte Carlo simulations. The results obtained from the molecular simulations were interpreted by means of the concepts of the classical nucleation theory. Numerical calculations were carried out for a variety of substances nucleating on different substances. The classical theory of heterogeneous nucleation was employed in calculations of one-component nucleation of water on newsprint paper, Teflon and cellulose film, and binary nucleation of water-n-propanol and water-sulphuric acid mixtures on silver nanoparticles. The results were compared with experimental results. The molecular simulation studies involved homogeneous nucleation of argon and heterogeneous nucleation of argon on a planar platinum surface. It was found out that the use of a microscopical contact angle as a fitting parameter in calculations based on the classical theory of heterogeneous nucleation leads to a fair agreement between the theoretical predictions and experimental results. In the presented cases the microscopical angle was found to be always smaller than the contact angle obtained from macroscopical measurements. Furthermore, molecular Monte Carlo simulations revealed that the concept of the geometrical contact parameter in heterogeneous nucleation calculations can work surprisingly well even for very small clusters.

Approaches to sesquiterpenes containing three contiguous quaternary carbon atoms. Synthesis of 3-methoxythapsene

Synthetic approach to 3-alkoxythapsane, comprising of the carbon framework of a small group of sesquiterpenes containing three contiguous quaternary carbon atoms has been described. A combination of alkylation, orthoester Claisen rearrangement and intramolecular diazoketone cyclopropanation has been employed for the creation of the three requisite contiguous quaternary carbon atoms.

Data mining approaches to software fault diagnosis

Automatic identification of software faults has enormous practical significance. This requires characterizing program execution behavior and the use of appropriate data mining techniques on the chosen representation. In this paper, we use the sequence of system calls to characterize program execution. The data mining tasks addressed are learning to map system call streams to fault labels and automatic identification of fault causes. Spectrum kernels and SVM are used for the former while latent semantic analysis is used for the latter The techniques are demonstrated for the intrusion dataset containing system call traces. The results show that kernel techniques are as accurate as the best available results but are faster by orders of magnitude. We also show that latent semantic indexing is capable of revealing fault-specific features.

Second order cone programming approaches for handling missing and uncertain data

We propose a novel second order cone programming formulation for designing robust classifiers which can handle uncertainty in observations. Similar formulations are also derived for designing regression functions which are robust to uncertainties in the regression setting. The proposed formulations are independent of the underlying distribution, requiring only the existence of second order moments. These formulations are then specialized to the case of missing values in observations for both classification and regression problems. Experiments show that the proposed formulations outperform imputation.