828 resultados para Systematic Analysis of Change in Restaurant Operations


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The successful management of change is a key factor in ensuring growth in the restaurant industry. The author discusses how to evaluate and act on a management change plan beginning with a total understanding and knowledge of the environment within which it operates.

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Introduction Cannabis remains the most used illegal substance across the globe, and negative outcomes and disorders are common. A spotlight therefore falls on reductions in cannabis use in people with cannabis use disorder. Current estimates of unassisted cessation or reduction in cannabis use rely on community surveys, and few studies focus on individuals with disorder. A key interest of services and researchers is to estimate effect size of reductions in consumption among treatment seekers who do not obtain treatment. Effects within waiting list or information-only control conditions of randomised controlled trials offer an opportunity to study this question. Method This paper examines the extent of reductions in days of cannabis use in the control groups of randomised controlled trials on treatment of cannabis use disorders. A systematic literature search was performed to identify trials that reported days of cannabis use in the previous 30 (or equivalent). Results Since all but one of the eight identified studies had delayed treatment controls, results could only be summarised across 2–4 months. Average weighted days of use in the previous 30 days fell from 24.5 to 19.9, and a meta-analysis using a random effects model showed an average reduction of 0.442 SD. However, every study had at least one significant methodological issue. Conclusions While further high-quality data is needed to confirm the observed effects, these results provide a baseline from which researchers and practitioners can estimate the extent of change required to detect effects of cannabis treatments in services or treatment trials.

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ATP-dependent chromatin remodeling has been shown to be critical for transcription and DNA repair. However, the involvement of ATP-dependent chromatin remodeling in DNA replication remains poorly defined. Interestingly, we found that the INO80 chromatin-remodeling complex is directly involved in the DNA damage tolerance pathways activated during DNA replication. DNA damage tolerance is important for genomic stability and is controlled by formation of either mono-ubiquitinated or multi-ubiquitinated PCNA, which respectively induce error prone or error-free replication bypass of the lesions. In addition, homologous recombination (HR) mediated by the Rad51 pathway is also involved in the DNA damage tolerance pathways. ^ We found that INO80 is specifically recruited to replication origins during S phase in a genome-wide fashion. In addition, DNA combing analysis shows INO80 is required for the resumption of replication at stalled forks induced by methyl methane-sulfonate (MMS). Mechanistically, we find that INO80 is required for PCNA ubiquitination as well as for Rad51 mediated processing of replication forks after MMS treatment. Furthermore, chromatin immunoprecipitation at specific ARSs indicates INO80 is necessary for Rad18 and Rad51 recruitment to replication forks after MMS treatment. Moreover, 2D gel analysis shows INO80 is necessary to process Rad51 mediated intermediates at impeded replication forks. ^ In conclusion, our findings establish a novel role of a chromatin-remodeling complex in DNA damage tolerance pathways and suggest that chromatin remodeling is fundamentally important to ensure faithful replication of DNA and genome stability in eukaryotes. ^

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BACKGROUND Studies that systematically assess change in ulcerative colitis (UC) extent over time in adult patients are scarce. AIM To assess changes in disease extent over time and to evaluate clinical parameters associated with this change. METHODS Data from the Swiss IBD cohort study were analysed. We used logistic regression modelling to identify factors associated with a change in disease extent. RESULTS A total of 918 UC patients (45.3% females) were included. At diagnosis, UC patients presented with the following disease extent: proctitis [199 patients (21.7%)], left-sided colitis [338 patients (36.8%)] and extensive colitis/pancolitis [381 (41.5%)]. During a median disease duration of 9 [4-16] years, progression and regression was documented in 145 patients (15.8%) and 149 patients (16.2%) respectively. In addition, 624 patients (68.0%) had a stable disease extent. The following factors were identified to be associated with disease progression: treatment with systemic glucocorticoids [odds ratio (OR) 1.704, P = 0.025] and calcineurin inhibitors (OR: 2.716, P = 0.005). No specific factors were found to be associated with disease regression. CONCLUSIONS Over a median disease duration of 9 [4-16] years, about two-thirds of UC patients maintained the initial disease extent; the remaining one-third had experienced either progression or regression of the disease extent.

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A generalised formulation of the mathematical model developed for the analysis of transients in a canal network, under subcritical flow, with any realistic combination of control structures and their multiple operations, has been presented. The model accounts for a large variety of control structures such as weirs, gates, notches etc. discharging under different conditions, namely submerged and unsubmerged. A numerical scheme to compute and approximate steady state flow condition as the initial condition has also been presented. The model can handle complex situations that may arise from multiple gate operations. This has been demonstrated with a problem wherein the boundary conditions change from a gate discharge equation to an energy equation and back to a gate discharge equation. In such a situation the wave strikes a fixed gate and leads to large and rapid fluctuations in both discharge and depth.

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La transcription, la maturation d’ARN, et le remodelage de la chromatine sont tous des processus centraux dans l'interprétation de l'information contenue dans l’ADN. Bien que beaucoup de complexes de protéines formant la machinerie cellulaire de transcription aient été étudiés, plusieurs restent encore à identifier et caractériser. En utilisant une approche protéomique, notre laboratoire a purifié plusieurs composantes de la machinerie de transcription de l’ARNPII humaine par double chromatographie d’affinité "TAP". Cette procédure permet l'isolement de complexes protéiques comme ils existent vraisemblablement in vivo dans les cellules mammifères, et l'identification de partenaires d'interactions par spectrométrie de masse. Les interactions protéiques qui sont validées bioinformatiquement, sont choisies et utilisées pour cartographier un réseau connectant plusieurs composantes de la machinerie transcriptionnelle. En appliquant cette procédure, notre laboratoire a identifié, pour la première fois, un groupe de protéines, qui interagit physiquement et fonctionnellement avec l’ARNPII humaine. Les propriétés de ces protéines suggèrent un rôle dans l'assemblage de complexes à plusieurs sous-unités, comme les protéines d'échafaudage et chaperonnes. L'objectif de mon projet était de continuer la caractérisation du réseau de complexes protéiques impliquant les facteurs de transcription. Huit nouveaux partenaires de l’ARNPII (PIH1D1, GPN3, WDR92, PFDN2, KIAA0406, PDRG1, CCT4 et CCT5) ont été purifiés par la méthode TAP, et la spectrométrie de masse a permis d’identifier de nouvelles interactions. Au cours des années, l’analyse par notre laboratoire des mécanismes de la transcription a contribué à apporter de nouvelles connaissances et à mieux comprendre son fonctionnement. Cette connaissance est essentielle au développement de médicaments qui cibleront les mécanismes de la transcription.

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Plusieurs patients atteints d’un cancer de la prostate (CaP) se verront prescrire l'hormonothérapie (HT) en raison du stade avancé ou en cas d’une récidive de la maladie, pour freiner la progression de la maladie et améliorer leur survie. Cependant, l’HT présente des effets pouvant nuire significativement à la santé du patient.

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A significant challenge in the prediction of climate change impacts on ecosystems and biodiversity is quantifying the sources of uncertainty that emerge within and between different models. Statistical species niche models have grown in popularity, yet no single best technique has been identified reflecting differing performance in different situations. Our aim was to quantify uncertainties associated with the application of 2 complimentary modelling techniques. Generalised linear mixed models (GLMM) and generalised additive mixed models (GAMM) were used to model the realised niche of ombrotrophic Sphagnum species in British peatlands. These models were then used to predict changes in Sphagnum cover between 2020 and 2050 based on projections of climate change and atmospheric deposition of nitrogen and sulphur. Over 90% of the variation in the GLMM predictions was due to niche model parameter uncertainty, dropping to 14% for the GAMM. After having covaried out other factors, average variation in predicted values of Sphagnum cover across UK peatlands was the next largest source of variation (8% for the GLMM and 86% for the GAMM). The better performance of the GAMM needs to be weighed against its tendency to overfit the training data. While our niche models are only a first approximation, we used them to undertake a preliminary evaluation of the relative importance of climate change and nitrogen and sulphur deposition and the geographic locations of the largest expected changes in Sphagnum cover. Predicted changes in cover were all small (generally <1% in an average 4 m2 unit area) but also highly uncertain. Peatlands expected to be most affected by climate change in combination with atmospheric pollution were Dartmoor, Brecon Beacons and the western Lake District.

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The business world has changed the way how people think and act on products and services. In this context, the most recent amendment of the scenarios of retail operations has been the use of technology in sales and distribution. The internet has revolutionized the way people communicate, and moreover as they purchase their goods and services. Thus, the e-commerce, specifically the relation business to customer, or simply B2C, has acted so convincingly in this change of paradigm, namely the purchases in the physical location for the virtual site. Quotes online, ease of payment, price, speed of delivery, have become real order winners of applications for companies that compete in this segment. With the focus on quality of services on e-commerce, the research examines the dimension related to the quality of services, and looks for what of these factors are winners of applications. © 2010 IFIP International Federation for Information Processing.

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The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.

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In patients with acute myelogenous leukemia, published guidelines and treatment recommendations are usually the basis for starting the work-up process for allogeneic transplant. However, only consistent recommendations would allow a standardized clinical practice. We conducted a comprehensive systematic literature search to identify and evaluate the best available evidence from controlled clinical trials. In addition, recommendations given by leading organizations in the USA and Europe were analyzed. The following aspects were selected for systematic comparison: factors for risk assessment and categorization, role of type of donor, significance of allogeneic transplant in first or second complete remission and in relapse/progressive disease; and role of reduced intensity conditioning regimens. In conclusion, the recommendations for the use of allogeneic transplant given by the literature and by published guidelines are inconsistent and will need clarification.

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The reconstruction of the child protection system in the post-communist period so as to meet professional standards while responding to the needs of children is an enormous task. In order to understand the features of the current stage of the development of the Romanian child protection system and to evaluate its trends towards change, Roth-Szamoskozi analysed data from scientific literature and collected statistics to document the evolution of the child-protection structure. Empirical data collection using qualitative methods (content analysis of documents and interviews with staff) were designed to reflect the degree to which child welfare laws correspond to internationally accepted regulations and to analyse the attitudes of those working in the field at different decision-making levels. An experiment with a group of 12 students showed that there have been basic changes in the legal framework of Romanian child welfare. Students could see that the required principles exist in the new Romanian child protection law, but also identified areas which are still inadequately represented. 61 staff members working in child welfare agencies (both state and non-governmental) were also interviewed, using a systematic, circular interview. Using the criteria of competence and the existence of specific social goals, professionalism in solving social problems and respect for social-work values, the 30 non-governmental organisations were divided into three categories. The first (7 organisations) are active in the area, know the law and are fairly professional, the second (5) are motivated in their work with specific problems, but with no great competence. The 18 organisations in the third group have no competence in the social field and in issues concerning children and do only charitable work. The state agencies are still dominated by routine, but there were many staff members who were developing reform and strategic roles and were actively directing the system towards change. Many staff members in both governmental and non-governmental organisations were directing the system towards a stress on intervention in the interests of the child in the context of its family. Roth-Szamoskozi found that staff members felt the need of a more accurate evaluation system which would enable them to show their results more clearly.

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If change over time is compared in several groups, it is important to take into account baseline values so that the comparison is carried out under the same preconditions. As the observed baseline measurements are distorted by measurement error, it may not be sufficient to include them as covariate. By fitting a longitudinal mixed-effects model to all data including the baseline observations and subsequently calculating the expected change conditional on the underlying baseline value, a solution to this problem has been provided recently so that groups with the same baseline characteristics can be compared. In this article, we present an extended approach where a broader set of models can be used. Specifically, it is possible to include any desired set of interactions between the time variable and the other covariates, and also, time-dependent covariates can be included. Additionally, we extend the method to adjust for baseline measurement error of other time-varying covariates. We apply the methodology to data from the Swiss HIV Cohort Study to address the question if a joint infection with HIV-1 and hepatitis C virus leads to a slower increase of CD4 lymphocyte counts over time after the start of antiretroviral therapy.