Compensation of adverse growing media effects on plant growth and morphology by supplemental LED lighting

There is an increasing interest in alternatives to peat in growing media due to environmental constraints. However, plants grown in peat substitutes often show impaired growth compared to plants grown in peat-based media. Hence, it would be interesting to know whether these deficiencies can be compensated by supplementing other growth factors, e.g. light. The present study aims to investigate the interactive nature between growing media and supplemental lighting on plant growth and morphology, and to examine whether supplemental light emitting diode (LED) lighting may compensate adverse growing media effects. Basil (Ocimum basilicum L.) and Chinese cabbage (Brassica rapa subsp. pekinensis) were grown in different growing media consisting of peat, green compost, coconut pulp, wood fibre, perlite and sphagnum moss under blue, red and far-red supplemental LED lighting. We found significant interactions between growing media and supplemental photosynthetically active radiation (PAR) on plant growth, morphology and development. At low light intensities, peat-based and substituted growing media performed similarly, whereas with increasing light intensities the peat-based growing media significantly outperformed their alternatives. The substrate choice determines the required amount of supplemental light to compensate for adverse growing media effects and the amount varies depending on plant species and season. Thereby, it was indicated that red light alleviates adverse growing media effects best. We also found that far-red light is not effective when background PAR is low and becomes more effective under high background PAR. The implications and prospects of the results are discussed

Tumor necrosis factor-α\alpha in combination with interferon-γ\gamma, but not with interleukin 4 activates murine macrophages for elimination of Leishmania major amastigotes

We have previously shown that during an infection with Leishmania major, susceptible BALB/c mice, as opposed to mice of a resistant strain (C57BLl6), are primed by lipopolysaccharide for the production of high levels of tumor necrosis factor-$\alpha$ (TNF-$\alpha$) which is known to be a potent maerophage M$\Phi$ stimulator in other parasitic diseases. In the present study we investigated whether TNF-$\alpha$ activates M$\Phi$ for killing of L. major parasites. In the absence of interferon-y (IFN-$\gamma$) or lipopolysaccharide, TNF-$\alpha$ (0.025-25000 U/ml) failed to activate peritoneal exudate M$\Phi$ from BALB/c mice for killling of L. major amastigotes. In the presence of suboptimal doses of IFN-$\gamma$ (5 or 10 Vlml), however, TNF-$\alpha$ mediated a rapid elimination of intracellular parasites, which was highly significant compared to IFN-$\gamma$ alone. Tbe combination of TNF with interleukin 4, in contrast, was inactive in this respect and allowed survival of intracellular parasites. From these data we conelude that the presence of IFN-$\gamma$ is crucial for TNF-$\alpha$-mediated killing of L. major parasites by M$\Phi$. Disease progression in susceptible mice therefore seems to be a consequence of a deficiency of IFN-$\gamma$ and a predominance of interleukin 4 rather than the result of an excess amount of TNF-$\alpha$

Adeno-associated virus production in suspension cell culture using Eppendorf bioprocess control systems and BioBLU® single-use bioreactors

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Active Observers in a 3D World: Human Visual Behaviours for Active Vision

Human-like performance in computational vision systems is yet to be achieved. In fact, human-like visuospatial behaviours are not well understood a crucial capability for any robotic system whose role is to be a real assistant. This dissertation examines human visual behaviours involved in solving a well-known visual task; The Same-Different Task. It is used as a probe to explore the space of active human observation during visual problem-solving. It asks a simple question: are two objects the same?. To study this question, we created a set of novel objects with known complexity to push the boundaries of the human visual system. We wanted to examine these behaviours as opposed to the static, 2D, display-driven experiments done to date. We thus needed to develop a complete infrastructure for an experimental investigation using 3D objects and active, free, human observers. We have built a novel, psychophysical experimental setup that allows for precise and synchronized gaze and head-pose tracking to analyze subjects performing the task. To the best of our knowledge, no other system provides the same characteristics. We have collected detailed, first-of-its-kind data of humans performing a visuospatial task in hundreds of experiments. We present an in-depth analysis of different metrics of humans solving this task, who demonstrated up to 100% accuracy for specific settings and that no trial used less than six fixations. We provide a complexity analysis that reveals human performance in solving this task is about O(n), where n is the size of the object. Furthermore, we discovered that our subjects used many different visuospatial strategies and showed that they are deployed dynamically. Strikingly, no learning effect was observed that affected the accuracy. With this extensive and unique data set, we addressed its computational counterpart. We used reinforcement learning to learn the three-dimensional same-different task and discovered crucial limitations which only were overcome if the task was simplified to the point of trivialization. Lastly, we formalized a set of suggestions to inform the enhancement of existing machine learning methods based on our findings from the human experiments and multiple tests we performed with modern machine learning methods