Flavonoids from Marchantia convoluta (MCF) were studied for their ability to inhibit the proliferation of 2.2.15 cells. All concentration of MCF inhibited the secretion of HBsAg and HBeAg in the cultured medium by 2.2.15 cells. Analysis of morphological changes of MCF-treated cells by phase-contrast microscopy revealed a possible mode of action for MCF: inhibition of proliferation of 2.2.15 cells by inducing apoptosis.
Aussagekräftig: Die Bestimmung der genauen Größe und Form eines Nanopartikels ist für den direkten Vergleich experimenteller Befunde mit theoretischen Vorhersagen essenziell. Der Einsatz einer Methode mit fokussiertem Ionenstrahl ermöglicht die routinemäßige Durchführung spektroskopischer und hochauflösender mikroskopischer Experimente am selben Nanopartikel (siehe Bild).
Abstract Virtual maintenance technology is a useful supplement to mechanical manufacturing technology. Virtual maintenance training can improve training efficiency, reduce training cost and operating expenses. In order to realize multi person collaborative maintenance training under the maintenance simulation environment, this paper carries out the research on virtual maintenance training collaborative operation modeling and simulation. Firstly, the coordination of maintenance operation process is analyzed, and the operation tasks are reasonably and effectively decomposed according to the structure, function and relationship of maintenance objects; The logical relationship of collaborative maintenance operation is represented by collaborative network operation model; According to the mechanical equipment maintenance process and the characteristics of multi-agent, a hybrid cooperation model based on the role and multi-agent is constructed; In order to realize the concurrency control of collaborative operation, according to the logical relationship between tasks and resource constraints in the working environment, the locking method is used to control the execution of maintenance tasks; The mechanical equipment virtual training and assessment platform is constructed to realize the functions of disassembly process training, operation learning and process discussion.
The world population is expected to reach almost 10,000 million in 2050, which entails the need to focus on sustainability and its three pillars: the economy, the environment, and society. Within this context, it is necessary to use our resources efficiently; for instance, we will need to produce much more food using less land and while polluting less to optimize the production of biomass from diversified resources, along with its subsequent conversion, fractionation, and processing. To achieve this, new approaches and processes, with special emphasis from a biotechnological perspective, may need to be implemented to move towards a circular model that will confer environmental sustainability. Global projections of food losses constitute an abundant pool of complex carbohydrates, proteins, lipids, and functional compounds. Hence, the deployment of food waste streams as raw materials will encompass the formulation of added-value products that will be ideally reintroduced in the food supply chain to close the loop. Therefore, the analysis and optimization of any food and bioproduct process, as well as the development of innovative and emerging food and by-product processing methods, are important as a necessity for the sustainable transition to a bioeconomy era. The valorization, bioprocessing, and biorefining of food-industry-based streams, the role of industrial microorganisms, the isolation of high-added-value compounds, applications of the resulting bio-based chemicals in food manufacturing, novel food formulations, economic policies for food waste management, along with sustainability or techno-economic assessment of processing methods constitute subject areas that need to be addressed. More specifically, bioprocess design to valorize food-industry waste and by-product streams should be initiated by characterizing the composition of the onset raw material with the aim of identifying the target end-products, whereas the generation of multiple high-added-value products is a prerequisite for cost-effective processes to establish economic sustainability. On top of that, the feasibility of innovative processes could be sustained by encompassing food applications, driven by the constantly emerging consumers’ demand for functional foods and beverages with enhanced nutritional value. Equally, a growing awareness for bio-based and natural food components is being developed, thereby imposing challenges on the substitution of chemically derived ingredients with their natural counterparts.
Abstract Within the context of a conservation program the management of subdivided populations implies a compromise between the control of the global genetic diversity, the avoidance of high inbreeding levels, and, sometimes, the maintenance of a certain degree of differentiation between subpopulations. We present a dynamic and flexible methodology, based on genealogical information, for the maximization of the genetic diversity (measured through the global population coancestry) in captive subdivided populations while controlling/restricting the levels of inbreeding. The method is able to implement specific restrictions on the desired relative levels of coancestry between and within subpopulations. By accounting for the particular genetic population structure, the method determines the optimal contributions (i.e., number of offspring) of each individual, the number of migrants, and the particular subpopulations involved in the exchange of individuals. Computer simulations are used to illustrate the procedure and its performance in a range of reasonable scenarios. The method performs well in most situations and is shown to be more efficient than the commonly accepted one-migrant-per-generation strategy.
