Institutional Environments And The Internationalization Of Franchise Chains: The Contrasting Cases Of Three North African Countries

Franchising has become a dominant model of retailing in the Western world and is rapidly expanding in emerging countries. This paper is an attempt to explain the significant  differences in the development of franchising in three emerging countries: Morocco, Algeria and Tunisia. Explanations can be found in the general institutional environment in these countries, including the political and economic environments; governments' willingness to modernize the distribution structures; and the legal and regulatory environments specific to franchising. Our analytical framework is based on institutional theory (DiMaggio & Powell, 1983), a framework that provides further insights beyond the approaches based on economic efficiency (agency theory and the resource scarcity perspective). Based on an analysis of the documents in the major public databases in the three countries, supplemented with field research, we propose an analytical framework that helps explain the uneven developments of franchising in the three North African countries based on the specific institutional environment of each country. This study thus provides empirical evidence supporting the institutional theory of franchise expansion. It appears that institutional theory complements agency theory and resource scarcity theory in explaining the development of franchising in emerging markets: while agency theory and resource scarcity theory explain the motivation of firms to expand internationally through franchising, institutional theory helps explain the success or failure of these firms in the emerging markets they expand to

Identifying the larva of the fan mussel, Atrina fragilis (Pennant, 1777) (Pinnidae)

This work was funded by the Scottish Government project SP004 and a MSS PhD studentship to DS. Many thanks are due to the Crews of the MV Alba na Mara (MSS), RV Sir John Murray (SEPA) and the MV Lochnevis (Caledonian Macbrayne) for facilitating sample collection, John Dunn for assistance with the manufacture and installation of the ferry sampler, Marian Thomson and other staff at the University of Edinburgh for laboratory assistance, Anastasia Imsiridou, Sofia Galinou-Mitsoudi and Vassilis Katsares of the Greek Department of Fisheries and Aquaculture Technology for supplying reference adult A. fragilis DNA, Pablo Diaz and staff at the University of Aberdeen microscopy department for assistance with SEM analysis, the National Museum of Wales for allowing reproduction of the juvenile A. fragilis image, Keith Hiscock and Eve Southward of Plymouth Marine Laboratory for historical information on the identification of A. fragilis larvae, Colin McAlister and the staff of the Fishery offices in Mallaig and Fraserburgh for assistance in the transport of zooplankton samples and materials, and the British Oceanographic Data Centre for supplying data on the UK Tidal Gauge Network. Comments from Associate Editor Simon Cragg and two anonymous reviewers were greatly appreciated for improving the manuscriptPeer reviewedPostprintPostprintPostprintPostprintPostprintPostprintPostprintPostprintPostprin

A human tau seeded neuronal cell model recapitulates molecular responses associated with Alzheimer's disease

Cellular models recapitulating features of tauopathies are useful tools to investigate the causes and consequences of tau aggregation and the identification of novel treatments. We seeded rat primary cortical neurons with tau isolated from Alzheimer's disease brains to induce a time-dependent increase in endogenous tau inclusions. Transcriptomics of seeded and control cells identified 1075 differentially expressed genes (including 26 altered at two time points). These were enriched for lipid/steroid metabolism and neuronal/glial cell development genes. 50 genes were correlated with tau inclusion formation at both transcriptomic and proteomic levels, including several microtubule and cytoskeleton-related proteins such as Tubb2a, Tubb4a, Nefl and Snca. Several genes (such as Fyn kinase and PTBP1, a tau exon 10 repressor) interact directly with or regulate tau. We conclude that this neuronal model may be a suitable platform for high-throughput screens for target or hit compound identification and validation

Deep Burst Denoising

Noise is an inherent issue of low-light image capture, one which is exacerbated on mobile devices due to their narrow apertures and small sensors. One strategy for mitigating noise in a low-light situation is to increase the shutter time of the camera, thus allowing each photosite to integrate more light and decrease noise variance. However, there are two downsides of long exposures: (a) bright regions can exceed the sensor range, and (b) camera and scene motion will result in blurred images. Another way of gathering more light is to capture multiple short (thus noisy) frames in a "burst" and intelligently integrate the content, thus avoiding the above downsides. In this paper, we use the burst-capture strategy and implement the intelligent integration via a recurrent fully convolutional deep neural net (CNN). We build our novel, multiframe architecture to be a simple addition to any single frame denoising model, and design to handle an arbitrary number of noisy input frames. We show that it achieves state of the art denoising results on our burst dataset, improving on the best published multi-frame techniques, such as VBM4D and FlexISP. Finally, we explore other applications of image enhancement by integrating content from multiple frames and demonstrate that our DNN architecture generalizes well to image super-resolution

Effect of adding a mobile health intervention to a multimodal antimicrobial stewardship programme across three teaching hospitals: an interrupted time series study.

Objectives: To evaluate the impact of adding a mobile health (mHealth) decision support system for antibiotic prescribing to an established antimicrobial stewardship programme (ASP). Methods: In August 2011, the antimicrobial prescribing policy was converted into a mobile application (app). A segmented regression analysis of interrupted time series was used to assess the impact of the app on prescribing indicators, using data (2008-14) from a biannual point prevalence survey of medical and surgical wards. There were six data points pre-implementation and six data points post-implementation. Results: There was an increase in compliance with policy (e.g. compliance with empirical therapy or expert advice) in the two specialties of medicine (6.48%, 95% CI = -1.25 to 14.20) and surgery (6.63%, 95% CI = 0.15-13.10) in the implementation period, with a significant sudden change in level in surgery ( P  <   0.05). There was an increase, though not significant, in medicine (15.20%, 95% CI = -17.81 to 48.22) and surgery (35.97%, 95% CI = -3.72 to 75.66) in the percentage of prescriptions that had a stop/review date documented. The documentation of indication decreased in both medicine (-16.25%, 95% CI = -42.52 to 10.01) and surgery (-14.62%, 95% CI = -42.88 to 13.63). Conclusions: Introducing the app into an existing ASP had a significant impact on the compliance with policy in surgery, and a positive, but not significant, effect on documentation of stop/review date in both specialties. The negative effect on the third indicator may reflect a high level of compliance pre-intervention, due to existing ASP efforts. The broader value of providing an antimicrobial policy on a digital platform, e.g. the reach and access to the policy, should be measured using indicators more sensitive to mHealth interventions

Cystic Echinococcosis: Chronic, Complex, and Still Neglected

Cystic echinococcosis is a most clinically neglected parasitic disease that urgently needs attention. A valuable tool for diagnosing, staging, and following up patients, ultrasound, is readily available. Four management procedures, surgery, percutaneous sterilization techniques, anti-parasitic treatment, and watch & wait, have ‘‘evolved’’ over decades, and been recently summarized, but without adequate comparative evaluation of efficacy, effectiveness, rate of adverse events, relapse rates, and cost. Clinical decision making is on even shakier ground for extrahepatic and extrapulmonary locations, which are rarer and numbers needed to build comparative trials hard to come by. There is an obligation to put at least what we have on an appropriate evidence base by conducting comparative clinical trials at the scale and quality that allow answering these important questions. As one of the expected results, clear criteria for the watch & wait option alone might already save a substantial proportion of patients from unnecessary interventions and save health services money. Difficult chronic diseases clustering in poor rural areas need intelligent, creative approaches, and this one urgently needs operational research incorporating the particularities of resource- poor settings into consideration

Using a simple point-prevalence survey to define appropriate antibiotic prescribing in hospitalised children across the UK.

BACKGROUND: The National Health Service England, Commissioning for Quality and Innovation for Antimicrobial Resistance (CQUIN AMR) aims to reduce the total antibiotic consumption and the use of certain broad-spectrum antibiotics in secondary care. However, robust baseline antibiotic use data are lacking for hospitalised children. In this study, we aim to describe, compare and explain the prescription patterns of antibiotics within and between paediatric units in the UK and to provide a baseline for antibiotic prescribing for future improvement using CQUIN AMR guidance. METHODS: We conducted a cross-sectional study using a point prevalence survey (PPS) in 61 paediatric units across the UK. The standardised study protocol from the Antibiotic Resistance and Prescribing in European Children (ARPEC) project was used. All inpatients under 18 years of age present in the participating hospital on the day of the study were included except neonates. RESULTS: A total of 1247 (40.9%) of 3047 children hospitalised on the day of the PPS were on antibiotics. The proportion of children receiving antibiotics showed a wide variation between both district general and tertiary hospitals, with 36.4% ( 95% CI 33.4% to 39.4%) and 43.0% (95% CI 40.9% to 45.1%) of children prescribed antibiotics, respectively. About a quarter of children on antibiotic therapy received either a medical or surgical prophylaxis with parenteral administration being the main prescribed route for antibiotics (>60% of the prescriptions for both types of hospitals). General paediatrics units were surprisingly high prescribers of critical broad-spectrum antibiotics, that is, carbapenems and piperacillin-tazobactam. CONCLUSIONS: We provide a robust baseline for antibiotic prescribing in hospitalised children in relation to current national stewardship efforts in the UK. Repeated PPS with further linkage to resistance data needs to be part of the antibiotic stewardship strategy to tackle the issue of suboptimal antibiotic use in hospitalised children

Determination of quantitative trait loci (QTL) for early maturation in rainbow trout (Oncorhynchus mykiss)

To identify quantitative trait loci (QTL) influencing early maturation (EM) in rainbow trout (Oncorhynchus mykiss), a genome scan was performed using 100 microsatellite loci across 29 linkage groups. Six inter-strain paternal half-sib families using three inter-strain F(1) brothers (approximately 50 progeny in each family) derived from two strains that differ in the propensity for EM were used in the study. Alleles derived from both parental sources were observed to contribute to the expression of EM in the progeny of the brothers. Four genome-wide significant QTL regions (i.e., RT-8, -17, -24, and -30) were observed. EM QTL detected on RT-8 and -24 demonstrated significant and suggestive QTL effects in both male and female progeny. Furthermore, within both male and female full-sib groupings, QTL on RT-8 and -24 were detected in two or more of the five parents used. Significant genome-wide and several strong chromosome-wide QTL for EM localized to different regions in males and females, suggesting some sex-specific control. Namely, QTL detected on RT-13, -15, -21, and -30 were associated with EM only in females, and those on RT-3, -17, and -19 were associated with EM only in males. Within the QTL regions identified, a comparison of syntenic EST markers from the rainbow trout linkage map with the zebrafish (Danio rerio) genome identified several putative candidate genes that may influence EM. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s10126-008-9098-5) contains supplementary material, which is available to authorized users