69 research outputs found
Antireflection silicon structures with hydrophobic property fabricated by three-beam laser interference
This paper demonstrates antireflective structures on silicon wafer surfaces with hydrophobic property fabricated by three-beam laser interference. In this work, a three-beam laser interference system was set up to generate periodic micro-nano hole structures with hexagonal distributions. Compared with the existing technologies, the array of hexagonally-distributed hole structures fabricated by three-beam laser interference reveals a design guideline to achieve considerably low solar-weighted reflectance (SWR) in the wavelength range of 300-780 nm. The resulting periodic hexagonally-distributed hole structures have shown extremely low SWR (1.86%) and relatively large contact angle (140°) providing with a self-cleaning capability on the solar cell surface
Influence of Incubation Conditions on Hydrolysis Efficiency and Iodine Enrichment in Baker’s Yeast
The influence of incubation conditions, enzyme type, hydrolysis time, and potassium iodide concentration on hydrolysis and iodine enrichment were studied in supernatant and pellets of Saccharomyces cervisiae hydrolysates. The type of enzyme used and incubation time significantly influence hydrolysis efficiency and protein concentration in supernatant and pellet. The highest protein hydrolysis efficiency was obtained by 24-h incubation with papain. Significantly lower values were observed for pepsin and autolysis. The potassium iodide concentration influences the iodine content of supernatant and pellet, but not hydrolysis. Iodide enrichment of supernatant and pellet depends on the concentration of iodide using during incubation. High concentration of iodide and long incubation times were the conditions for optimal iodide enrichment and high-protein hydrolysates. The optimal hydrolysis efficiency and iodine enrichment were obtained during 24-h incubation with papain in a 4.5-mM potassium iodide medium. The efficiency reached 98.22% with iodine concentrations of 2,664.91 and 9,200.67 μg/g iodine in pellet and supernatant, respectively
Quantum sensing networks for the estimation of linear functions
The theoretical framework for networked quantum sensing has been developed to a great extent in the past few years, but there are still a number of open questions. Among these, a problem of great significance, both fundamentally and for constructing efficient sensing networks, is that of the role of inter-sensor correlations in the simultaneous estimation of multiple linear functions, where the latter are taken over a collection local parameters and can thus be seen as global properties. In this work we provide a solution to this when each node is a qubit and the state of the network is sensor-symmetric. First we derive a general expression linking the amount of inter-sensor correlations and the geometry of the vectors associated with the functions, such that the asymptotic error is optimal. Using this we show that if the vectors are clustered around two special subspaces, then the optimum is achieved when the correlation strength approaches its extreme values, while there is a monotonic transition between such extremes for any other geometry. Furthermore, we demonstrate that entanglement can be detrimental for estimating non-trivial global properties, and that sometimes it is in fact irrelevant. Finally, we perform a non-asymptotic analysis of these results using a Bayesian approach, finding that the amount of correlations needed to enhance the precision crucially depends on the number of measurement data. Our results will serve as a basis to investigate how to harness correlations in networks of quantum sensors operating both in and out of the asymptotic regime
Investigations of the reduction of NO to N2 by reaction with Fe under fuel-rich and oxidative atmosphere
Biomass of Spirulina maxima enriched by biosorption process as a new feed supplement for swine
Advances in photonic quantum sensing
Quantum sensing has become a mature and broad field. It is generally related
with the idea of using quantum resources to boost the performance of a number
of practical tasks, including the radar-like detection of faint objects, the
readout of information from optical memories or fragile physical systems, and
the optical resolution of extremely close point-like sources. Here we first
focus on the basic tools behind quantum sensing, discussing the most recent and
general formulations for the problems of quantum parameter estimation and
hypothesis testing. With this basic background in our hands, we then review
emerging applications of quantum sensing in the photonic regime both from a
theoretical and experimental point of view. Besides the state-of-the-art, we
also discuss open problems and potential next steps.Comment: Review in press on Nature Photonics. This is a preliminary version to
be updated after publication. Both manuscript and reference list will be
expande
The use of chemical technology to obtain bioactive substances from chosen Raw materials of animal origin
Najlepszym surowcem pochodzenia zwierzęcego do pozyskiwania wysokiej wartości bioaktywnych substancji, obok siary mleka (krowie, owcze) są jaja, zwłaszcza kurze i przepiórcze. Ponadto z surowców pochodzenia zwierzęcego na uwagę zasługują miód pszczeli i propolis oraz tłuszcze ryb morskich. Wykorzystując najnowsze osiągnięcia nauki i nowych technologii, z tych surowców można pozyskiwać cenne biopreparaty, ważne w prewencji chorób cywilizacyjnych.The best raw material of animal origin to obtain high-value bioactive substances, beside colostrums milk (cow, sheep) are the eggs, especially chicken and quail. In addition, raw materials of animal origin are noteworthy honey and propolis, and marine fish fats. Using the latest achievements of science and new technologies, these materials can be used to obtained valuable bio-preparations important in the prevention of lifestyle diseases
Możliwości tworzenia innowacyjnych struktur gospodarczych - szanse i bariery
W artykule omówiono rolę wiedzy w rozwoju gospodarczym, przedstawiono model łańcucha transferu wiedzy oraz kierunki procesów innowacyjnych. Przedstawiono organizację i działalność klastra żywnościowego i biotechnologiczno-biomedycznego NU - TRIBIOMED (Wrocławski Park Technologiczny SA)
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