Ultrasonication and the quality of human milk: variation of power and time of exposure

Donor human milk is pasteurized to prevent the potential risk of the transmission of pathogens to preterm infants. Currently, Holder pasteurization (human milk held at 62·5°C for 30 min) is used in most human milk banks, but has the disadvantage that it results in excessive inactivation of important bioactive components. Power-ultrasound (20-100 kHz) is an emerging technology for the preservation of foods and could be an alternative method for the treatment of human milk. The aim of this study was to investigate the effect of different ultrasound settings on the elimination of Escherichia coli and the retention of bile salt stimulated lipase (BSSL) activity. Ultrasonication with a constant power decreased Esch. coli viability exponentially over time until the processing temperature increased to sub-pasteurization level to between 51·4 and 58·5°C, then a log10 1·3 decrease was observed (P<0·05). BSSL activity decreased to 91% until a temperature of 51·4°C and then it decreased to 8% between 51·4 and 64·9°C. Ultrasonication with a constant energy and various power and exposure times showed the highest temperature (53·7°C) when treated with the longest exposure time and lowest ultrasound-power (276 s at 3·62 W) compared with 37·6°C for 39 s at 25·64 W. The findings predict that the viability of Esch. coli could be reduced by log10 5 with a minimal loss of activity of BSSL by applying 13·8 kJ of energy in 12 ml of human milk using high ultrasound power over a short exposure time to ensure that the temperature remains below the critical level for protein denaturation. Alternatively, the use of lower power settings such as the 26 W used in the present studies would require a cooling system to ensure the human milk BSSL was protected against temperature denaturatio

Polysaccharide capsule composition of pneumococcal serotype 19A subtypes: Unaltered among subtypes and independent of the nutritional environment

Serotype 19A strains have emerged as a cause of invasive pneumococcal disease after the introduction of the seven-valent pneumococcal conjugate vaccine (PCV7) and serotype 19A has now been included in the recent thirteen-valent vaccine (PCV13). Genetic analysis has revealed at least three different capsular serotype 19A subtypes and nutritional environment dependent variation of the 19A capsule structure has been reported. Pneumococcal vaccine effectiveness and serotyping accuracy might be impaired by structural differences in serotype 19A capsules. We therefore analyzed the distribution of 19A subtypes collected within a Swiss national surveillance program and determined capsule composition in different nutritional conditions with high-performance liquid chromatography (HPLC), gas chromatography – mass spectrometry (GC-MS) and nuclear magnetic resonance spectroscopy (NMR). After the introduction of PCV7 a significant relative increase of subtype 19A-II and decrease of 19A-I occurred. Chemical analyses showed no difference in the composition as well as the linkage of 19A subtype capsular saccharides grown in defined and undefined growth media being consistent with a trisaccharide repeat unit composed of rhamnose, N-acetyl-mannosamine and glucose. In summary, our study suggests that no structural variance dependent of the nutritional environment or the subtype exists. The serotype 19A subtype shift observed after the introduction of the PCV7 can therefore not be explained by selection of a capsule variant. However, capsule composition analysis of emerging 19A clones is recommended in cases where there is no other explanation for a selective advantage such as antibiotic resistance or loss or acquisition of other virulence factor

Cost-effectiveness analysis of malaria chemoprophylaxis for travellers to West-Africa

BACKGROUND: The importation of malaria to non-endemic countries remains a major cause of travel-related morbidity and a leading cause of travel-related hospitalizations. Currently they are three priority medications for malaria prophylaxis to West Africa: mefloquine, atovaquone/proguanil and doxycycline. We investigate the cost effectiveness of a partial reimbursement of the cheapest effective malaria chemoprophylaxis (mefloquine) for travellers to high risk areas of malaria transmission compared with the current situation of no reimbursement. METHODS: This study is a cost-effectiveness analysis based on malaria cases imported from West Africa to Switzerland from the perspective of the Swiss health system. We used a decision tree model and made a literature research on the components of travel related malaria. The main outcome measure was the cost effectiveness of malaria chemoprophylaxis reimbursement based on malaria and deaths averted. RESULTS: Using a program where travellers would be reimbursed for 80% of the cost of the cheapest malaria chemoprophylaxis is dominant (i.e. cost saving and more effective than the current situation) using the assumption that currently 68.7% of travellers to West Africa use malaria chemoprophylaxis. If the current usage of malaria chemoprophylaxis would be higher, 82.4%, the incremental cost per malaria case averted is € 2'302. The incremental cost of malaria death averted is € 191'833.The most important factors influencing the model were: the proportion of travellers using malaria chemoprophylaxis, the probability of contracting malaria without malaria chemoprophylaxis, the cost of the mefloquine regimen, the decrease in the number of travellers without malaria chemoprophylaxis in the reimbursement strategy. CONCLUSIONS: This study suggests that a reimbursement of 80% of the cost of the cheapest effective malaria chemoprophylaxis (mefloquine) for travellers from Switzerland to West Africa is highly effective in terms of malaria cases averted and is cost effective to the Swiss health system. These data are relevant to discussions about the cost effectiveness of malaria chemoprophylaxis reimbursement for vulnerable groups such as those visiting friends and relatives who have the highest risk of malaria, who are least likely to use chemoprophylaxis

Relative helmith size in crustacean hosts : in vivo determination, and effects of host gender and within-host competition in a copepod infected by a cestode

Crustaceans are important hosts for a number of helminth parasites, and they are increasingly used as models for studying the physiology, ecology and evolution of parasite-host interactions. In ecological studies, this interaction is commonly described only in terms of prevalence and number of larvae per infected host. However, the volume of helminth parasites can vary greatly, and this variation can potentially give important insights into the nature of a parasite-host relationship. It may influence and be influenced, for example, by within-host competition, host size, growth, and life history. Here we present a simple method that allows rapid approximation of the absolute and relative volumes of cestode larvae within copepod hosts of various developmental stages (nauplii, copepodites and adults). The measurements are taken in vivo without much disturbance of the animals, i.e. the technique allows study of growth and development of the parasites in relation to that of their hosts. The principles of this technique can be adopted to other helminth parasites and other crustacean hosts. Using this method in the copepod Macrocyclops albidus infected with the cestode Schistocephalus solidus, we found that the relative parasite size (= ?parasite index?) ranged from 0.5% to 6.5% of host size 14 days after infection. It was greater in male than in female hosts. With increasing number of parasites per host, the total parasite volume increased while the mean volume of the individual parasites decreased. The magnitude of the observed parasite indices, the large variation that was found within a sample of 46 infected adult copepods, and the observed correlates suggest that this new index can indeed be an important measure of parasite success and its pathogenecity

Graph properties of a telecommunication network

Objective: Every telecommunication network has a different topology. Additionally, the topology is often complex and unstructured. In the current telecommunications industry, graph properties are not broadly used for network capacity planning or network comparisons. The goal of this thesis is to create a system that conveys the structure of a graph in an understandable way. This is achieved through the visualization of a multitude of graph properties. Included explanations provide context and link to additional sources. Furthermore, it should be possible to obtain network topology data from the Jalapeño API Gateway, which is an ongoing project by the INS. Approach: The system is composed of three separate applications that interact with each other. The Data Collector is responsible for reading network topology data, be it from the Jalapeño API Gateway via gRPC or from an alternative source. The read data is persisted in a graph database. Calculations of the graph properties are triggered by requests to the API. These calculations are performed based on the graph that is kept in the graph database, the results are exposed via a REST API. The Frontend consumes data from the API and displays the various graph properties. In order to provide context, explanations are provided for each property. Conclusion: A system composed of multiple applications was created that allows network administrators to analyze a provided network based on graph properties. Additional features like querying for cut edges and vertices have also been implemented. The system is developed in a cloud-native way in order to achieve a high scalability and availability. It currently supports the import of network topology data from the Jalapeño API Gateway and files in the GEXF format. The system is designed in an extensible way so that other data sources can be added in the future. It also acts as a platform for future works in the area of network topology analysis

Learning Functionally Decomposed Hierarchies for Continuous Control Tasks with Path Planning

We present HiDe, a novel hierarchical reinforcement learning architecture that successfully solves long horizon control tasks and generalizes to unseen test scenarios. Functional decomposition between planning and low-level control is achieved by explicitly separating the state-action spaces across the hierarchy, which allows the integration of task-relevant knowledge per layer. We propose an RL-based planner to efficiently leverage the information in the planning layer of the hierarchy, while the control layer learns a goal-conditioned control policy. The hierarchy is trained jointly but allows for the composition of different policies such as transferring layers across multiple agents. We experimentally show that our method generalizes across unseen test environments and can scale to tasks well beyond 3x horizon length compared to both learning and non-learning based approaches. We evaluate on complex continuous control tasks with sparse rewards, including navigation and robot manipulation