Developing the ERP Pre-Mortem Framework: Addressing the Debate Over Organizational Learning

Organizational learning (OL) is a major weakness for ERP project implementation. Exploratory research interviews of ERP managers/consultants support this finding. Many organizations do not implement proper procedures that effectuate valid learning experiences from failures endured. The literature suggests that effective OL involves complex ongoing processes requiring pervasive knowledge management and organizational memory systems (Jennex and Olfman, 2002). One example of an OL failure is FEMA’s experience with the pre-Katrina “Hurricane Pam” exercise. Alternatively, an example of OL success is found in the U.S. Navy’s methods and procedures. There is considerable similarity between managing ERP systems and managing high reliability system environments like those of FEMA and the US Navy. Given both the failures and successes in the area of OL, it is evident that further research is required if the phenomena is to be more fully understood

Natalie Vivian Scott: The Origins, People and Times of the French Quarter Renaissance (1920-1930).

This is the interwoven story of Natalie Vivian Scott, war hero, author, adventurer and humanitarian, and the French Quarter Renaissance during the 1920s, when Natalie Scott was a vital member of the talented coterie of writers and artists whose talents prospered there, including Sherwood Anderson, William Faulkner, William Spratling, Lyle Saxon, Roark Bradford, Oliver La Farge, John Dos Passos, Hamilton Basso, Meigs Frost, among others. This work\u27s premise is that the decayed, crumbling French Quarter, falling into irreversible decline, was saved during the early 1920s by an outburst of local creativity and organizational energy that inspired restoration and a unique, historically significant cultural revival. The participants included a remarkable array of artists, writers, stage performers, poets and journalists, the most famous being major products of this renaissance, but not its progenitors. This artistic and literary colony was the most significant in Southern U.S. history, and among the most important of the American twentieth century. Natalie Scott was instrumental in each of the key forces that created and shaped the French Quarter Renaissance. After being awarded France\u27s highest medal, the Croix de Guerre, for her heroism during World War I, this Southern bred and Newcomb educated war heroine returned to New Orleans and became a feature writer, social editor, and columnist for the New Orleans States. As a founder, playwright and performer with the Petit Theatre du Vieux Carre; a staff member of the Double Dealer literary magazine; close friend of Anderson, Spratling, Faulkner, La Farge, Saxon and other key figures; a pioneer in Vieux Carre; renewal investments and the leading social columnist in the city, Natalie Scott serves as an ideal vehicle to document the recovery of the French Quarter, and its service as the creative incubator for an astonishing array of important young talents

A cohort study of short-term functional outcomes following injury: the role of pre-injury socio-demographic and health characteristics, injury and injury-related healthcare

<p>Abstract</p> <p>Background</p> <p>Injury outcome studies have tended to collect limited pre-injury characteristics, focus on a narrow range of injury types, predictors and outcomes, and be restricted to high threat to life injuries. We sought to identify the role of pre-injury socio-demographic and health characteristics, injury and injury-related healthcare in determining short-term functional outcomes for a wide range of injuries.</p> <p>Methods</p> <p>Study participants (aged 18-64 years inclusive) were those in the Prospective Outcomes of Injury Study, a cohort of 2856 persons who were injured and registered with New Zealand's national no-fault injury insurance agency. All information used in this paper was obtained directly from the participants, primarily by telephone interviews, approximately three months after their injury. The functional outcomes of interest were the five dimensions of the EQ-5D plus a cognitive dimension. We initially examined bivariate relationships between our independent measures and the dependent measures. Our multivariate analyses included adjustment for pre-injury EQ-5D status and time between injury and when information was obtained from participants.</p> <p>Results</p> <p>Substantial portions of participants continued to have adverse outcomes approximately three months after their injury. Key pervasive factors predicting adverse outcomes were: being female, prior chronic illness, injuries to multiple body regions, being hospitalized for injury, self-perceived threat to life, and difficulty accessing health services.</p> <p>Conclusion</p> <p>Future injury outcome studies should include participants whose injuries are considered 'minor', as judged by acute health service utilization, and also consider a wider range of potential predictors of adverse outcomes.</p

Computing motion using analog VLSI vision chips: An experimental comparison among different approaches

We have designed, built and tested a number of analog CMOS VLSI circuits for computing 1-D motion from the time-varying intensity values provided by an array of on-chip phototransistors. We present experimental data for two such circuits and discuss their relative performance. One circuit approximates the correlation model while a second chip uses resistive grids to compute zero-crossings to be tracked over time by a separate digital processor. Both circuits integrate image acquisition with image processing functions and compute velocity in real time. For comparison, we also describe the performance of a simple motion algorithm using off-the-shelf digital components. We conclude that analog circuits implementing various correlation-like motion algorithms are more robust than our previous analog circuits implementing gradient-like motion algorithms

AR2, a novel automatic muscle artifact reduction software method for ictal EEG interpretation: Validation and comparison of performance with commercially available software.

Objective: To develop a novel software method (AR2) for reducing muscle contamination of ictal scalp electroencephalogram (EEG), and validate this method on the basis of its performance in comparison to a commercially available software method (AR1) to accurately depict seizure-onset location. Methods: A blinded investigation used 23 EEG recordings of seizures from 8 patients. Each recording was uninterpretable with digital filtering because of muscle artifact and processed using AR1 and AR2 and reviewed by 26 EEG specialists. EEG readers assessed seizure-onset time, lateralization, and region, and specified confidence for each determination. The two methods were validated on the basis of the number of readers able to render assignments, confidence, the intra-class correlation (ICC), and agreement with other clinical findings. Results: Among the 23 seizures, two-thirds of the readers were able to delineate seizure-onset time in 10 of 23 using AR1, and 15 of 23 using AR2 (

Studying the functional conservation of cis-regulatory modules and their transcriptional output

<p>Abstract</p> <p>Background</p> <p><it>Cis</it>-regulatory modules (CRMs) are distinct, genomic regions surrounding the target gene that can independently activate the promoter to drive transcription. The activation of a CRM is controlled by the binding of a certain combination of transcription factors (TFs). It would be of great benefit if the transcriptional output mediated by a specific CRM could be predicted. Of equal benefit would be identifying <it>in silico </it>a specific CRM as the driver of the expression in a specific tissue or situation. We extend a recently developed biochemical modeling approach to manage both prediction tasks. Given a set of TFs, their protein concentrations, and the positions and binding strengths of each of the TFs in a putative CRM, the model predicts the transcriptional output of the gene. Our approach predicts the location of the regulating CRM by using predicted TF binding sites in regions near the gene as input to the model and searching for the region that yields a predicted transcription rate most closely matching the known rate.</p> <p>Results</p> <p>Here we show the ability of the model on the example of one of the CRMs regulating the <it>eve </it>gene, MSE2. A model trained on the MSE2 in <it>D. melanogaster </it>was applied to the surrounding sequence of the <it>eve </it>gene in seven other <it>Drosophila </it>species. The model successfully predicts the correct MSE2 location and output in six out of eight <it>Drosophila </it>species we examine.</p> <p>Conclusion</p> <p>The model is able to generalize from <it>D. melanogaster </it>to other <it>Drosophila </it>species and accurately predicts the location and transcriptional output of MSE2 in those species. However, we also show that the current model is not specific enough to function as a genome-wide CRM scanner, because it incorrectly predicts other genomic regions to be MSE2s.</p

Provision of obstetrics and gynaecology services during the COVID-19 pandemic:a survey of junior doctors in the UK National Health Service

Objective: The COVID-19 pandemic is disrupting health services worldwide. We aimed to evaluate the provision of obstetrics and gynaecology services in the UK during the acute-phase of the COVID-19 pandemic. Design: Interview-based national survey. Setting: Women’s healthcare units in the National Health Service. Population: Junior doctors in obstetrics and gynaecology. Methods: Participants were interviewed by members of the UKARCOG trainees’ collaborative between 28th March and 7th of April 2020. We used a quantitative analysis for closed-ended questions and a thematic framework analysis for open comments. Results: We received responses from 148/155 units (95%), majority of the participants were in years 3-7 of training (121/148, 82%). Most completed specific training drills for managing obstetric and gynaecological emergencies in women with COVID-19 (89/148, 60.1%) and two-persons donning and doffing of Personal Protective Equipment (PPE) (96/148, 64.9%). The majority of surveyed units implemented COVID-19 specific protocols (130/148, 87.8%), offered adequate PPE (135/148, 91.2%) and operated dedicated COVID-19 emergency theatres (105/148, 70.8%). Most units reduced face-to-face antenatal clinics (117/148, 79.1%), and suspended elective gynaecology services (131/148, 88.5%). The two-week referral pathway for oncology gynaecology was not affected in half of the units (76/148, 51.4%), while half reported a planned reduction in oncology operating (82/148, 55.4%). Conclusion: The provision of obstetrics and gynaecology services in the UK during the acute phase of the COVID-19 pandemic seems to be in line with current guidelines, but strategic planning is needed to restore routine gynaecology services and ensure safe access to maternity care on the longterm

Functional Characterization of Transcription Factor Motifs Using Cross-species Comparison across Large Evolutionary Distances

We address the problem of finding statistically significant associations between cis-regulatory motifs and functional gene sets, in order to understand the biological roles of transcription factors. We develop a computational framework for this task, whose features include a new statistical score for motif scanning, the use of different scores for predicting targets of different motifs, and new ways to deal with redundancies among significant motif–function associations. This framework is applied to the recently sequenced genome of the jewel wasp, Nasonia vitripennis, making use of the existing knowledge of motifs and gene annotations in another insect genome, that of the fruitfly. The framework uses cross-species comparison to improve the specificity of its predictions, and does so without relying upon non-coding sequence alignment. It is therefore well suited for comparative genomics across large evolutionary divergences, where existing alignment-based methods are not applicable. We also apply the framework to find motifs associated with socially regulated gene sets in the honeybee, Apis mellifera, using comparisons with Nasonia, a solitary species, to identify honeybee-specific associations

Human germline heterozygous gain-of-function STAT6 variants cause severe allergic disease

STAT6 (signal transducer and activator of transcription 6) is a transcription factor that plays a central role in the pathophysiology of allergic inflammation. We have identified 16 patients from 10 families spanning three continents with a profound phenotype of early-life onset allergic immune dysregulation, widespread treatment-resistant atopic dermatitis, hypereosinophilia with esosinophilic gastrointestinal disease, asthma, elevated serum IgE, IgE-mediated food allergies, and anaphylaxis. The cases were either sporadic (seven kindreds) or followed an autosomal dominant inheritance pattern (three kindreds). All patients carried monoallelic rare variants in STAT6 and functional studies established their gain-of-function (GOF) phenotype with sustained STAT6 phosphorylation, increased STAT6 target gene expression, and TH2 skewing. Precision treatment with the anti-IL-4Rα antibody, dupilumab, was highly effective improving both clinical manifestations and immunological biomarkers. This study identifies heterozygous GOF variants in STAT6 as a novel autosomal dominant allergic disorder. We anticipate that our discovery of multiple kindreds with germline STAT6 GOF variants will facilitate the recognition of more affected individuals and the full definition of this new primary atopic disorder