225 research outputs found

    The Synergistic Leadership Theory: Contextualizing Multiple Realities of Female Leaders

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    The authors describe the Synergistic Leadership Theory (SLT), which includes four factors: Leadership Behavior, Organizational Structure, External Factors, and Beliefs, Attitudes, and Values. The factors are described and contributions to existing leadership theory are explained. They further apply the factors to four cases in order to illustrate the application of the theory to leadership practice. The authors conclude that SLT, in including the female perspective, provides an expanded framework for taking a macro-perspective of the interactions among beliefs, external forces, people, and organizations

    The Synergistic Leadership Theory: Contextualizing Multiple Realities of Female Leaders

    Get PDF
    The authors describe the Synergistic Leadership Theory (SLT), which includes four factors: Leadership Behavior, Organizational Structure, External Factors, and Beliefs, Attitudes, and Values. The factors are described and contributions to existing leadership theory are explained. They further apply the factors to four cases in order to illustrate the application of the theory to leadership practice. The authors conclude that SLT, in including the female perspective, provides an expanded framework for taking a macro-perspective of the interactions among beliefs, external forces, people, and organizations

    A systematic review evaluating the implementation of technologies to assess, monitor and treat neurodevelopmental disorders: A map of the current evidence

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    Technology-based interventions provide an attractive option for improving service provision for neurodevelopmental disorders (NDD), for example, widening access to interventions, objective assessment, and monitoring; however, it is unclear whether there is sufficient evidence to support their use in clinical settings. This review provides an evidence map describing how technology is implemented in the assessment/diagnosis and monitoring/ treatment of NDD (Prospero CRD42018091156). Using predefined search terms in six databases, 7982 articles were identified, 808 full-texts were screened, resulting in 47 included papers. These studies were appraised and synthesised according to the following outcomes of interest: effectiveness (clinical effectiveness/ service delivery efficiencies), economic impact, and user impact (acceptability/ feasibility). The findings describe how technology is currently being utilised clinically, highlights gaps in knowledge, and discusses future research needs. Technology has been used to facilitate assessment and treatment across multiple NDD, especially Autism Spectrum (ASD) and attention-deficit/hyperactivity (ADHD) disorders. Technologies include mobile apps/tablets, robots, gaming, computerised tests, videos, and virtual reality. The outcomes presented largely focus on the clinical effectiveness of the technology, with approximately half the papers demonstrating some degree of effectiveness, however, the methodological quality of many studies is limited. Further research should focus on randomised controlled trial designs with longer follow-up periods, incorporating an economic evaluation, as well as qualitative studies including process evaluations and user impact

    Spectropolarimetry of 3CR 68.1: A Highly Inclined Quasar

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    We present Keck spectropolarimetry of the highly polarized radio-loud quasar 3CR 68.1 (z=1.228, V=19). The polarization increases from 5 in the red (4000 A rest-frame) to >10% in the blue (1900 A rest-frame). The broad emission lines are polarized the same as the continuum, which shows that 3CR 68.1 is not a blazar as it has sometimes been regarded in the past. We also present measurements of the emission lines and a strong, blueshifted, associated absorption line system, as well as a detection at the emission-line redshift of Ca II K absorption, presumably from stars in the host galaxy. 3CR 68.1 belongs to an observationally rare class of highly polarized quasars that are neither blazars nor partially obscured radio-quiet QSOs. Taking into account 3CR 68.1's other unusual properties, such as its extremely red spectral energy distribution and its extreme lobe dominance, we explain our spectropolarimetric results in terms of unified models. We argue that we have a dusty, highly inclined view of 3CR 68.1, with reddened scattered (polarized) quasar light diluted by even more dust-reddened quasar light reaching us directly from the nucleus.Comment: 20 pages, includes 3 tables, 6 figures. Accepted by Ap

    Automatic categorization of diverse experimental information in the bioscience literature

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    Background: Curation of information from bioscience literature into biological knowledge databases is a crucial way of capturing experimental information in a computable form. During the biocuration process, a critical first step is to identify from all published literature the papers that contain results for a specific data type the curator is interested in annotating. This step normally requires curators to manually examine many papers to ascertain which few contain information of interest and thus, is usually time consuming. We developed an automatic method for identifying papers containing these curation data types among a large pool of published scientific papers based on the machine learning method Support Vector Machine (SVM). This classification system is completely automatic and can be readily applied to diverse experimental data types. It has been in use in production for automatic categorization of 10 different experimental datatypes in the biocuration process at WormBase for the past two years and it is in the process of being adopted in the biocuration process at FlyBase and the Saccharomyces Genome Database (SGD). We anticipate that this method can be readily adopted by various databases in the biocuration community and thereby greatly reducing time spent on an otherwise laborious and demanding task. We also developed a simple, readily automated procedure to utilize training papers of similar data types from different bodies of literature such as C. elegans and D. melanogaster to identify papers with any of these data types for a single database. This approach has great significance because for some data types, especially those of low occurrence, a single corpus often does not have enough training papers to achieve satisfactory performance. Results: We successfully tested the method on ten data types from WormBase, fifteen data types from FlyBase and three data types from Mouse Genomics Informatics (MGI). It is being used in the curation work flow at WormBase for automatic association of newly published papers with ten data types including RNAi, antibody, phenotype, gene regulation, mutant allele sequence, gene expression, gene product interaction, overexpression phenotype, gene interaction, and gene structure correction. Conclusions: Our methods are applicable to a variety of data types with training set containing several hundreds to a few thousand documents. It is completely automatic and, thus can be readily incorporated to different workflow at different literature-based databases. We believe that the work presented here can contribute greatly to the tremendous task of automating the important yet labor-intensive biocuration effort

    The COVID-19 pandemic and its impact on tic symptoms in children and young people: a prospective cohort study

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    To understand how children and young people with tic disorders were affected by COVID-19, we compared pre and during pandemic scores on the Yale Global Tic Severity Scale (YGTSS). Participants were young people (N = 112; male:78%; 9–17 years) randomised to the control arm of the “ORBIT-Trial” (ISRCTN70758207, ClinicalTrials.gov-NCT03483493). For this analysis, the control arm was split into two groups: one group was followed up to 12-months’ post-randomisation before the pandemic started (pre-COVID group, n = 44); the other group was impacted by the pandemic at the 12-month follow-up (during-COVID group, n = 47). Mixed effects linear regression modelling was conducted to explore differences in YGTSS at 6- and 12-months post-randomisation. There were no significant differences in tic symptom or severity between participants who were assessed before and during COVID-19. This finding was not influenced by age, gender, symptoms of anxiety or autism spectrum disorder. Thus, the COVID-19 pandemic did not significantly impact existing tic symptoms

    The implementation of telehealth to assess, monitor and treat neurodevelopmental disorders: a systematic review

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    Background: In response to COVID-19 there is increasing momentum behind the development and delivery of telehealth. To assess the anticipated exponential growth in telehealth it is important we accurately capture how telehealth was used in specific fields of mental health prior to COVID-19. Objective: The aim of this review was to highlight how telehealth had been used with clinical samples in the neurodevelopmental (NDD) field, including for patients with NDD, their families, and healthcare professionals. To identify which technologies show greatest potential for implementation into health services the review evaluates the technologies for effectiveness, economic impact, and readiness for clinical adoption. Methods: A systematic search of the literature was undertaken (April 2018 - updated until December 2019) using: Medline, Web of Science, Scopus, CINAHL Plus, Embase, and PsycInfo. Data extracted included the type of technology, how the technology was used (assessment, treatment, monitoring), participant characteristics, reported outcomes and the authors’ views on clinical effectiveness, user impact (including feasibility and acceptability), economic impact, and readiness for clinic adoption. A quality review of the research is reported using the Oxford Centre for Evidence-Based Medicine (OCEBM) Levels of Evidence. Results: A total of 42 studies met the inclusion criteria. These included participants and/or their families with autism spectrum disorders (ASD; n=21), attention deficit hyperactivity disorders (ADHD; n=8), ADHD and/or ASD (n=3), communication - disorders (n=7), and tic disorders (n=2). The majority of studies were with children/young people and/or their caregivers. The focus of most studies was treatment (n=33), rather than assessment (n=4) or monitoring (n=5). Telehealth services demonstrated promise for being clinically effective, predominantly in relation to diagnosing and monitoring NDDs. In the treatment of NDD, telehealth services were usually equivalent to control groups. There was some evidence for positive user and economic impact, including service delivery efficiencies, such as increasing treatment availability and decreasing waiting times. However, these factors were not widely recorded across all the studies. Telehealth was demonstrated to be cost-effective in the few studies that considered this. The quality of the studies varied, with many having small sample sizes and inadequate control groups. Only 11/42 were randomized controlled trials, the main other methodologies included case studies or case series (n=12), qualitative studies (n=6), and non-comparative trials (n=5). Conclusions: The use of telehealth has the potential to increase the availability of treatment, decrease waiting times for diagnosis, and aid in the monitoring of NDD. Further research, with more robust and adequately powered study designs as well as consideration of cost-effectiveness and efficiency savings, is needed. The review highlights the extent of the use of telehealth technologies prior to COVID-19 and the movement to invest in remote access to treatments

    Longitudinal genomic surveillance of MRSA in the UK reveals transmission patterns in hospitals and the community.

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    Genome sequencing has provided snapshots of the transmission of methicillin-resistant Staphylococcus aureus (MRSA) during suspected outbreaks in isolated hospital wards. Scale-up to populations is now required to establish the full potential of this technology for surveillance. We prospectively identified all individuals over a 12-month period who had at least one MRSA-positive sample processed by a routine diagnostic microbiology laboratory in the East of England, which received samples from three hospitals and 75 general practitioner (GP) practices. We sequenced at least 1 MRSA isolate from 1465 individuals (2282 MRSA isolates) and recorded epidemiological data. An integrated epidemiological and phylogenetic analysis revealed 173 transmission clusters containing between 2 and 44 cases and involving 598 people (40.8%). Of these, 118 clusters (371 people) involved hospital contacts alone, 27 clusters (72 people) involved community contacts alone, and 28 clusters (157 people) had both types of contact. Community- and hospital-associated MRSA lineages were equally capable of transmission in the community, with instances of spread in households, long-term care facilities, and GP practices. Our study provides a comprehensive picture of MRSA transmission in a sampled population of 1465 people and suggests the need to review existing infection control policy and practice

    A neural basis for contagious yawning

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    Contagious yawning, in which yawning is triggered involuntarily when we observe another person yawn, is a common form of echophenomena—the automatic imitation of another’s words (echolalia) or actions (echopraxia) [1]. The neural basis for echophenomena is unknown; however, it has been proposed that it is linked to disinhibition of the human mirror-neuron system [1–4 ] and hyper-excitability of cortical motor areas [ 1 ]. We investigated the neural basis for contagious yawning using transcranial magnetic stimulation (TMS). Thirty-six adults viewed video clips that showed another individual yawning and, in separate blocks, were instructed to either resist yawning or allow themselves to yawn. Participants were videoed throughout and their yawns or stifled yawns were counted. We used TMS to quantify motor cortical excitability and physiological inhibition for each participant, and these measures were then used to predict the propensity for contagious yawning across participants. We demonstrate that instructions to resist yawning increase the urge to yawn and alter how yawns are expressed (i.e., full versus stifled yawns) but do not alter the individual propensity for contagious yawning. By contrast, TMS measures of cortical excitability and physiological inhibition were significant predictors of contagious yawning and accounted for approximately 50% of the variability in contagious yawning. These data demonstrate that individual variability in the propensity for contagious yawning is determined by cortical excitability and physiological inhibition in the primary motor cortex
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