Hybrid umbilical cord blood banking: literature review.

PURPOSE Interest gaps between public and private umbilical cord blood banks have led to the introduction of hybrid banking options. Hybrid models combine features of private and public banks as well as interests of parents, children and of patients, in order to find an optimized solution. While several different models of hybrid banks exist, there is a lack of literature about this novel model of cord blood stem cell banking. Therefore, the aim of this literature review is to assess different options of umbilical cord blood banking and whether hybrid banking could be a valuable alternative to the existing public and private cord blood banking models. METHODS We performed a systematic literature search, using five main databases. Five hybrid models regarding their advantages as well as their challenges are discussed in this review. RESULTS We found that a wealth of literature exists about public cord blood banking, while private and hybrid banking are understudied. Different modalities of hybrid cord blood banking are being described in several publications, providing the basis to assess different advantages and disadvantages as well as practicability. CONCLUSION Hybrid banks, especially the sequential model, seem to have potential as an alternative to the existing banking models worldwide. A previously conducted survey among pregnant women showed a preference for hybrid banking, if such an option was available. Nevertheless, opinions among stakeholders differ and more research is needed to evaluate, if hybrid banking provides the expected benefits

Pregnancy-associated plasma protein-A is an independent short-time predictor of mortality in patients on maintenance haemodialysis

Aims Mortality of maintenance haemodialysis (HD) patients is very high due to polymorbidity, mostly from metabolic and cardiovascular disease. In order to identify patients with high risk for life-threatening complications, reliable prognostic markers would be helpful. Pregnancy-associated plasma protein-A (PAPP-A) has been shown to predict cardiovascular events and death in patients with stable coronary artery disease as well as in acute coronary syndrome in patients with normal renal function. It was the aim of this study to evaluate PAPP-A as a marker for death in patients on maintenance HD. Methods and results PAPP-A serum levels were measured in 170 patients participating in the monitor! trial, a prospective dynamic dialysis cohort multicenter study in Switzerland. Patients were followed up for a median time of 17 months after measuring PAPP-A, and evaluated for death of any cause. Survivors and non-survivors were compared with regard to baseline PAPP-A concentrations. A multivariate logistic regression analysis for death was performed including PAPP-A, age, sex, number of comorbidities, dialysis vintage, Kt/V, IL-6, C-reactive protein, parathyroid hormone (PTH), Ca × PO4 product, and total serum cholesterol. A cut-off value for PAPP-A was calculated for discrimination between patients with low and high mortality risk, respectively. A total of 23 deaths occurred during follow-up, equalling an incidence rate of 0.1. Baseline median PAPP-A levels were 40% higher in non-survivors vs. survivors (P = 0.023). In a multivariate analysis, only PAPP-A, age, and Ca × PO4 product were independent predictors of mortality. A cut-off value of 24 mIU/L discriminates significantly (P = 0.015) between patients at low or high risk for death with a negative predictive value of 91%. Conclusion PAPP-A is a novel and independent short-time predictor of mortality in a maintenance HD population. The pathogenetic relevance of PAPP-A, particularly in the development of cardiovascular disease, remains to be further elucidate

Markov Chain methods for the Bipartite Boolean Quadratic Programming Problem

We study the Bipartite Boolean Quadratic Programming Problem (BBQP) which is an extension of the well known Boolean Quadratic Programming Problem (BQP). Applications of the BBQP include mining discrete patterns from binary data, approximating matrices by rank-one binary matrices, computing the cut-norm of a matrix, and solving optimisation problems such as maximum weight biclique, bipartite maximum weight cut, maximum weight induced sub-graph of a bipartite graph, etc. For the BBQP, we first present several algorithmic components, specifically, hill climbers and mutations, and then show how to com- bine them in a high-performance metaheuristic. Instead of hand-tuning a standard metaheuristic to test the efficiency of the hybrid of the components, we chose to use an automated generation of a multi- component metaheuristic to save human time, and also improve objectivity in the analysis and compar- isons of components. For this we designed a new metaheuristic schema which we call Conditional Markov Chain Search (CMCS). We show that CMCS is flexible enough to model several standard metaheuristics; this flexibility is controlled by multiple numeric parameters, and so is convenient for automated genera- tion. We study the configurations revealed by our approach and show that the best of them outperforms the previous state-of-the-art BBQP algorithm by several orders of magnitude. In our experiments we use benchmark instances introduced in the preliminary version of this paper and described here, which have already become the de facto standard in the BBQP literature

Average value of solutions for the bipartite boolean quadratic programs and rounding algorithms

We consider domination analysis of approximation algorithms for the bipartite boolean quadratic programming problem (BBQP) with m+n variables. A closed-form formula is developed to compute the average objective function value A of all solutions in O(mn) time. However, computing the median objective function value of the solutions is shown to be NP-hard. Also, we show that any solution with objective function value no worse than A dominates at least 2 m+n-2 solutions and this bound is the best possible. Further, we show that such a solution can be identified in O(mn) time and hence the domination ratio of this algorithm is at least 14. We then show that for any fixed natural numbers a and b such that η=ab > 1, no polynomial time approximation algorithm exists for BBQP with domination ratio larger than 1-2(1-η)η(m+n), unless P = NP. It is shown that some powerful local search algorithms can get trapped at a local maximum with objective function value less than A. One of our approximation algorithms has an interesting rounding property which provides a data dependent lower bound on the optimal objective function value. A new integer programming formulation of BBQP is also given and computational results with our rounding algorithms are reported

Hybrid cord blood banking in a private-public-partnership: Women's perspectives.

BACKGROUND The increasing demand for umbilical cord blood (UCB) used in stem cell transplantation led to the establishment of cord blood (CB) banks worldwide. These include public foreign donor banks and private family-directed donor banks. Recently, our department has introduced a third banking model within a private-public-partnership. This hybrid banking allows for storage of family-directed CB units, while also getting Human leukocyte antigen (HLA)-typed and included in the national stem cell donor registry. So if the need arises, the HLA-compatible CB unit can be released to an unrelated recipient as a foreign donor stem cell graft. OBJECTIVES The aim of this study was to evaluate women's perspectives on the different CB banking options as well as retrospective satisfaction with their decisions. METHODS We performed a prospective survey study in postpartum women, using a validated questionnaire. RESULTS A total of 157 women were included in this survey study; 68% of them decided to have their UCB stored or donated. Among those women, 25% of them opted for hybrid storage, 72% of respondents stored UCB publicly, and 3% decided for private family-directed storage. CONCLUSIONS Our study shows the potential of hybrid banking as an attractive UCB storage option, as an alternative to family-directed banking rather than a substitute for public donation. Hybrid storage potentially combines advantages of family-directed banking as well as unrelated CB donation expanding the number of registered CB units available for transplantation and giving every pregnant woman the possibility to store UCB

Preliminary results of survey on food safety aspects of drone brood from Apis mellifera L.

Drone brood removal is a common practice for the control of the honeybee parasite Varoa destructor in beehives of Apis mellifera L. in Switzerland and other European countries. At present, the removed drone brood is not used. The demand for alternative protein sources is growing and drone brood has a big potential to become a new food product and a new income for beekeepers. In contrast to insects currently produced for food, honeybees feed in an open system in the environment, which is difficult to control. Therefore, food borne pathogens from the environment on drone brood need to be assessed carefully. We analysed samples of drone brood from eight Swiss apiaries regarding important food borne pathogens. This survey gives a first overview on microbiological food safety of drone brood from A. mellifera. Based on our results, further studies will be conducted to develop a process of drone brood production that is safe regarding food borne pathogens

FitFun: A modelling framework for successfully capturing the functional form and noise of observed traffic flow–density–speed relationships

Measurements of the average properties of vehicular traffic are inherently noisy. The distributions of flow and speed measurements at any particular density are non-Gaussian with density-dependent variance, skewness, and kurtosis. Previous studies have failed to properly account for these complicated noise properties. In remediation, we present FitFun, a general framework for modelling any observed flow–density–speed relationship. Models specified within FitFun incorporate components for both the functional form and the noise. We define three flexible noise model components and we fit 200 different models to a high-quality sample of 10,150 observed urban flow-occupancy relationships. We compare the fits using information criteria and assess fit quality through analysis of the residuals. We find that the non-parametric Sun model for the functional form component combined with a Skew Exponential Power Type III noise component significantly outperforms all of the other models. Interestingly, we find that the city, country, road topology, and detector location have virtually no impact on model performance and fit quality, which is very convenient for model selection. The only factor of relevance from those that we studied is the effective occupancy coverage of the data. We conclude that certain models specified judiciously within FitFun can successfully capture the functional form and noise of observed flow–density–speed relationships without the need to discard data taken during non-stationary conditions. This is particularly advantageous for urban data where stationary traffic conditions are rarely observed

Fitting empirical fundamental diagrams of road traffic: A comprehensive review and comparison of models using an extensive data set

Understanding the inter-relationships between traffic flow, density, and speed through the study of the fundamental diagram of road traffic is critical for traffic modelling and management. Consequently, over the last 85 years, a wealth of models have been developed for its functional form. However, there has been no clear answer as to which model is the most appropriate for observed (i.e. empirical) fundamental diagrams and under which conditions. A lack of data has been partly to blame. Motivated by shortcomings in previous reviews, we first present a comprehensive literature review on modelling the functional form of empirical fundamental diagrams. We then perform fits of 50 previously proposed models to a high quality sample of 10,150 empirical fundamental diagrams pertaining to 25 cities. Comparing the fits using information criteria, we find that the non-parametric Sun model greatly outperforms all of the other models. The Sun model maintains its winning position regardless of road type and congestion level. Our study, the first of its kind when considering the number of models tested and the amount of data used, finally provides a definitive answer to the question ``Which model for the functional form of an empirical fundamental diagram is currently the best?''. The word ``currently'' in this question is key, because previously proposed models adopt an inappropriate Gaussian noise model with constant variance. We advocate that future research should shift focus to exploring more sophisticated noise models. This will lead to an improved understanding of empirical fundamental diagrams and their underlying functional forms.ISSN:1524-9050ISSN:1558-001