1,081 research outputs found

    9P. A Proposed Study of Corporate Performance Management (CPM) Systems from a Dynamic Capability Perspective

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    CPM systems are a new class of enterprise application that seeks to unlock the latent potential of data generated by Enterprise Resource Planning (ERP) systems. It appears to be a foregone conclusion that the use of such systems improves organizational performance thereby leading to competitive advantage but there is little academic research to support such an assertion. Using the dynamic capability theory of strategy, this research paper explores the mechanisms whereby such systems might possibly impact the firm’s performance through altering its capability portfolio. A two-part CPM performance model is developed framing implementation outcome in terms of three capability constructs, IT infrastructure, human capital and strategic leadership. It is suggested that these capabilities, moderated by the organizational culture must be aligned and developed to produce a successful implementation outcome. We propose that a successful implementation outcome provides the catalyst for a series of transformations resulting in the creation of new capabilities that may improve organizational performance. This paper should be considered a “research in progress”

    Developmental Changes in the ECG of a Hamster Model of Muscular Dystrophy and Heart Failure

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    Aberrant autonomic signaling is being increasingly recognized as an important symptom in neuromuscular disorders. The δ-sarcoglycan-deficient BIO TO-2 hamster is recognized as a good model for studying mechanistic pathways and sequelae in muscular dystrophy and heart failure, including autonomic nervous system (ANS) dysfunction. Recent studies using the TO-2 hamster model have provided promising preclinical results demonstrating the efficacy of gene therapy to treat skeletal muscle weakness and heart failure. Methods to accelerate preclinical testing of gene therapy and new drugs for neuromuscular diseases are urgently needed. The purpose of this investigation was to demonstrate a rapid non-invasive screen for characterizing the ANS imbalance in dystrophic TO-2 hamsters. Electrocardiograms were recorded non-invasively in conscious ∼9-month old TO-2 hamsters (n = 10) and non-myopathic F1B control hamsters (n = 10). Heart rate was higher in TO-2 hamsters than controls (453 ± 12 bpm vs. 311 ± 25 bpm, P < 0.01). Time domain heart rate variability, an index of parasympathetic tone, was lower in TO-2 hamsters (12.2 ± 3.7 bpm vs. 38.2 ± 6.8, P < 0.05), as was the coefficient of variance of the RR interval (2.8 ± 0.9% vs. 16.2 ± 3.4%, P < 0.05) compared to control hamsters. Power spectral analysis demonstrated reduced high frequency and low frequency contributions, indicating autonomic imbalance with increased sympathetic tone and decreased parasympathetic tone in dystrophic TO-2 hamsters. Similar observations in newborn hamsters indicate autonomic nervous dysfunction may occur quite early in life in neuromuscular diseases. Our findings of autonomic abnormalities in newborn hamsters with a mutation in the δ-sarcoglycan gene suggest approaches to correct modulation of the heart rate as prevention or therapy for muscular dystrophies

    Functional phenomics for improved climate resilience in Nordic agriculture

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    The five Nordic countries span the most northern region for field cultivation in the world. This presents challenges per se with short growing seasons, long days and a need for frost tolerance. Climate change has additionally increased risks for micro-droughts and water logging as well as pathogens and pests expanding northwards. Thus, Nordic agriculture demands crops that are adapted to the special Nordic growth conditions and future climate scenarios. A focus on crop varieties and traits important to Nordic agriculture, including the unique resource of nutritious wild crops, can meet these needs. In fact, with a future longer growing season due to climate change the region could contribute proportionally more to the global agricultural production. This also applies to other northern regions, including the Arctic. To address current growth conditions, mitigate impacts of climate change and meet market demands, the adaptive capacity of crops that both perform well in northern latitudes and are more climate resilient has to be increased, and better crop management systems be built. This requires functional phenomics approaches that integrate versatile high-throughput phenotyping, physiology and bioinformatics. This review stresses key target traits, the opportunities of latitudinal studies and infrastructure needs for phenotyping to support Nordic agriculture.Peer reviewe

    Functional phenomics for improved climate resilience in Nordic agriculture

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    The five Nordic countries span the most northern region for field cultivation in the world. This presents challenges per se with short growing seasons, long days and a need for frost tolerance. Climate change has additionally increased risks for micro-droughts and water logging as well as pathogens and pests expanding northwards. Thus, Nordic agriculture demands crops that are adapted to the special Nordic growth conditions and future climate scenarios. A focus on crop varieties and traits important to Nordic agriculture, including the unique resource of nutritious wild crops, can meet these needs. In fact, with a future longer growing season due to climate change the region could contribute proportionally more to the global agricultural production. This also applies to other northern regions, including the Arctic. To address current growth conditions, mitigate impacts of climate change and meet market demands, the adaptive capacity of crops that both perform well in northern latitudes and are more climate resilient has to be increased, and better crop management systems be built. This requires functional phenomics approaches that integrate versatile high-throughput phenotyping, physiology and bioinformatics. This review stresses key target traits, the opportunities of latitudinal studies and infrastructure needs for phenotyping to support Nordic agriculture.Peer reviewe

    Gait dynamics in mouse models of Parkinson's disease and Huntington's disease

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    BACKGROUND: Gait is impaired in patients with Parkinson's disease (PD) and Huntington's disease (HD), but gait dynamics in mouse models of PD and HD have not been described. Here we quantified temporal and spatial indices of gait dynamics in a mouse model of PD and a mouse model of HD. METHODS: Gait indices were obtained in C57BL/6J mice treated with the dopaminergic neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP, 30 mg/kg/day for 3 days) for PD, the mitochondrial toxin 3-nitropropionic acid (3NP, 75 mg/kg cumulative dose) for HD, or saline. We applied ventral plane videography to generate digital paw prints from which indices of gait and gait variability were determined. Mice walked on a transparent treadmill belt at a speed of 34 cm/s after treatments. RESULTS: Stride length was significantly shorter in MPTP-treated mice (6.6 ± 0.1 cm vs. 7.1 ± 0.1 cm, P < 0.05) and stride frequency was significantly increased (5.4 ± 0.1 Hz vs. 5.0 ± 0.1 Hz, P < 0.05) after 3 administrations of MPTP, compared to saline-treated mice. The inability of some mice treated with 3NP to exhibit coordinated gait was due to hind limb failure while forelimb gait dynamics remained intact. Stride-to-stride variability was significantly increased in MPTP-treated and 3NP-treated mice compared to saline-treated mice. To determine if gait disturbances due to MPTP and 3NP, drugs affecting the basal ganglia, were comparable to gait disturbances associated with motor neuron diseases, we also studied gait dynamics in a mouse model of amyotrophic lateral sclerosis (ALS). Gait variability was not increased in the SOD1 G93A transgenic model of ALS compared to wild-type control mice. CONCLUSION: The distinct characteristics of gait and gait variability in the MPTP model of Parkinson's disease and the 3NP model of Huntington's disease may reflect impairment of specific neural pathways involved

    Structural basis for potent inhibition of d-amino acid oxidase by thiophene carboxylic acids

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    A series of thiophene-2-carboxylic acids and thiophene-3-carboxylic acids were identified as a new class of DAO inhibitors. Structure-activity relationship (SAR) studies revealed that small substituents are well-tolerated on the thiophene ring of both the 2-carboxylic acid and 3-carboxylic acid scaffolds. Crystal structures of human DAO in complex with potent thiophene carboxylic acids revealed that Tyr224 was tightly stacked with the thiophene ring of the inhibitors, resulting in the disappearance of the secondary pocket observed with other DAO inhibitors. Molecular dynamics simulations of the complex revealed that Tyr224 preferred the stacked conformation irrespective of whether Tyr224 was stacked or not in the initial state of the simulations. MM/GBSA indicated a substantial hydrophobic interaction between Tyr244 and the thiophene-based inhibitor. In addition, the active site was tightly closed with an extensive network of hydrogen bonds including those from Tyr224 in the stacked conformation. The introduction of a large branched side chain to the thiophene ring markedly decreased potency. These results are in marked contrast to other DAO inhibitors that can gain potency with a branched side chain extending to the secondary pocket due to Tyr224 repositioning. These insights should be of particular importance in future efforts to optimize DAO inhibitors with novel scaffolds

    The impact of COVID-19 public health restrictions on particulate matter pollution measured by a validated low-cost sensor network in Oxford, UK

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    Emergency responses to the COVID-19 pandemic led to major changes in travel behaviours and economic activities with arising impacts upon urban air quality. To date, these air quality changes associated with lockdown measures have typically been assessed using limited city-level regulatory monitoring data, however, low-cost air quality sensors provide capabilities to assess changes across multiple locations at higher spatial-temporal resolution, thereby generating insights relevant for future air quality interventions. The aim of this study was to utilise high-spatial resolution air quality information utilising data arising from a validated (using a random forest field calibration) network of 15 low-cost air quality sensors within Oxford, UK to monitor the impacts of multiple COVID-19 public heath restrictions upon particulate matter concentrations (PM10, PM2.5) from January 2020 to September 2021. Measurements of PM10 and PM2.5 particle size fractions both within and between site locations are compared to a pre-pandemic related public health restrictions baseline. While average peak concentrations of PM10 and PM2.5 were reduced by 9–10 μg/m3 below typical peak levels experienced in recent years, mean daily PM10 and PM2.5 concentrations were only ∼1 μg/m3 lower and there was marked temporal (as restrictions were added and removed) and spatial variability (across the 15-sensor network) in these observations. Across the 15-sensor network we observed a small local impact from traffic related emission sources upon particle concentrations near traffic-oriented sensors with higher average and peak concentrations as well as greater dynamic range, compared to more intermediate and background orientated sensor locations. The greater dynamic range in concentrations is indicative of exposure to more variable emission sources, such as road transport emissions. Our findings highlight the great potential for low-cost sensor technology to identify highly localised changes in pollutant concentrations as a consequence of changes in behaviour (in this case influenced by COVID-19 restrictions), generating insights into non-traffic contributions to PM emissions in this setting. It is evident that additional non-traffic related measures would be required in Oxford to reduce the PM10 and levels to within WHO health-based guidelines and to achieve compliance with PM2.5 targets developed under the Environment Act 2021

    Investigating cooking activity patterns and perceptions of air quality interventions among women in urban Rwanda

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    Household air pollution (HAP) from biomass cooking with traditional stoves is a major cause of morbidity and mortality in low-and-middle-income countries (LMICs) worldwide. Air quality interventions such as improved cookstoves (ICS) may mitigate HAP-related impacts; however, poor understanding of contextual socio-cultural factors such as local cooking practices have limited their widespread adoption. Policymakers and stakeholders require an understanding of local cooking practices to inform effective HAP interventions which meet end-user needs. A semi-structured questionnaire was administered to 36 women residing in biomass-cooking fuel households in Kigali, Rwanda to identify cooking activity patterns, awareness of HAP-related health risks and ICS intervention preferences. Overall, 94% of respondents exclusively used charcoal cooking fuel and 53% cooked one meal each day (range = 1–3 meals). Women were significantly more likely to cook outdoors compared to indoors (64% vs. 36%; p < 0.05). Over half of respondents (53%) were unaware of HAP-related health risks and 64% had no prior awareness of ICS. Participants expressed preferences for stove mobility (89%) and facility for multiple pans (53%) within an ICS intervention. Our findings highlight the need for HAP interventions to be flexible to suit a range of cooking patterns and preferred features for end-users in this context

    Gait Disturbances in Dystrophic Hamsters

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    The delta-sarcoglycan-deficient hamster is an excellent model to study muscular dystrophy. Gait disturbances, important clinically, have not been described in this animal model. We applied ventral plane videography (DigiGait) to analyze gait in BIO TO-2 dystrophic and BIO F1B control hamsters walking on a transparent treadmill belt. Stride length was ∼13% shorter (P < .05) in TO-2 hamsters at 9 months of age compared to F1B hamsters. Hindlimb propulsion duration, an indicator of muscle strength, was shorter in 9-month-old TO-2 (247 ± 8 ms) compared to F1B hamsters (272 ± 11 ms; P < .05). Braking duration, reflecting generation of ground reaction forces, was delayed in 9-month-old TO-2 (147 ± 6 ms) compared to F1B hamsters (126 ± 8 ms; P < .05). Hindpaw eversion, evidence of muscle weakness, was greater in 9-month-old TO-2 than in F1B hamsters (17.7 ± 1.2° versus 8.7 ± 1.6°; P < .05). Incline and decline walking aggravated gait disturbances in TO-2 hamsters at 3 months of age. Several gait deficits were apparent in TO-2 hamsters at 1 month of age. Quantitative gait analysis demonstrates that dystrophic TO-2 hamsters recapitulate functional aspects of human muscular dystrophy. Early detection of gait abnormalities in a convenient animal model may accelerate the development of therapies for muscular dystrophy

    Resistance to change in Greek higher education

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    This thesis is a study of resistance to the changes in Greek higher education that were implemented within the framework of the 1999 Bologna Agreement of the European Union in the period 2007-2008. The changes that occurred were of great significance for Greece’s education system as they introduced important changes in the structure and function of Greek higher education. This thesis argues that the organisational culture that had been created throughout the history of Greek higher education was a powerful factor that provoked resistance to the new policies. Methodologically, the thesis argues that discourse, change and institutional culture are closely tied together, and that this is of crucial importance in creating, modifying, and sustaining change within higher education institutions. The process of resistance is examined through the theoretical framework of Critical Discourse Analysis (CDA) (Fairclough, 1995, 2000, 2001, 2003, 2009; Chouliaraki and Fairclough, 1999), and within this framework by applying the empirical-analytical method of the Discourse Historical Approach (Wodak and Meyer, 2009; Reisigl and Wodak, 2009). The framework and method for the study are also complemented by the discourse theory of Laclau and Mouffe (1985). The narrative of the thesis includes a critical examination of the hegemonic struggles that occurred in the 2007-2008 period, the perceptions and ideologies of the key stakeholders (politicians, university faculty, and student groups), and the ways in which the discourses about Greek higher education have been influenced by social, political, and institutional factors. Finally, the implications of the findings for adding to the existing knowledge about management and change in higher education institutions are discussed
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