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•S.obliquus and C.vulgaris growth on organic waste + sludge digestate was assessed.•C. vulgaris showed best growth performances in mixotrophic conditions.•Ammonia removal reached ...was greater than 96% after 8 days in all mixotrophic conditions.•Similar microalgae growth was observed on centrifugated and filtrated digestate.
In this research Scenedesmus obliquus and Chlorella vulgaris growth was tested on digestate sludge obtained from the anaerobic co-digestion treatment of the organic fraction of municipal solid waste (OFMSW) together with waste activated sludge (WAS). Digestate was diluted 1:10 and tested in three batch experimental conditions: with no pre-treatments (noPT), after centrifugation (AC) and after filtration (AUF), in order to evaluate microalgae limiting growth factors. The best growth was obtained by C. vulgaris on digestate AC compared to S. obliquus, reaching 479 ± 31 cell million ml−1 and 131 ± 12 cell million ml−1 respectively. Ammonia removal evaluated in C. vulgaris and S. obliquus cultures was 99.2% ± 0.3 and 98.146% ± 0.008 in AC condition, respectively. Considering that AUF showed similar microalgae growth values, the digestate pretreatment for microalgae growth, could be limited to centrifugation.
In order to reach the goal of reliably solving Earth monitoring tasks, automated and efficient machine learning methods are necessary for large-scale scene analysis and interpretation. A typical ...bottleneck of supervised learning approaches is the availability of accurate (manually) labeled training data, which is particularly important to train state-of-the-art (deep) learning methods. We present SemCity Toulouse, a publicly available, very high resolution, multi-spectral benchmark data set for training and evaluation of sophisticated machine learning models. The benchmark acts as test bed for single building instance segmentation which has been rarely considered before in densely built urban areas. Additional information is provided in the form of a multi-class semantic segmentation annotation covering the same area plus an adjacent area 3 times larger. The data set addresses interested researchers from various communities such as photogrammetry and remote sensing, but also computer vision and machine learning.
Compound structural identification for non-targeted screening of organic molecules in complex mixtures is commonly carried out using liquid chromatography coupled to tandem mass spectrometry ...(UHPLC-HRMS/MS and related techniques). Instrumental developments in recent years have increased the quality and quantity of data available; however, using current data analysis methods, structures can be assigned to only a small fraction of compounds present in typical mixtures. We present a new data analysis pipeline, “MSEI”, that harnesses data science methodologies to improve structural identification capabilities from tandem mass spectrometry data. In particular, feature vectors for fingerprint calculation are found directly from tandem mass spectra, strongly reducing computational costs, and fingerprint comparison uses an optimised methodology accounting for uncertainty to improve distinction between matching and non-matching compounds. MSEI builds on the identification of a small number of compounds through current state-of-the-art data analysis on UHPLC-HRMS/MS measurements and uses targeted training and tailored molecular fingerprints to focus identification to a particular molecular space of interest. Initial compound identifications are used as training data for a set of random forests which directly predict a custom 75-digit molecular fingerprint from a vectorised MS/MS spectrum. Kendrick mass defects (KMDs) for peaks as well as “lost” fragments removed during fragmentation were found to be useful information for fingerprint prediction. Fingerprints are then compared to potential matches from the PubChem structural database using Euclidean distance, with fingerprint digit weights determined using an SVM to maximise distance between matching and non-matching compounds. Potential matches are additionally filtered for hydrophobicity based on measured retention time, using a newly developed machine learning method for retention time prediction. MSEI was able to correctly assign > 50% of structures in a test dataset and showed > 10% better performance than current state-of-the-art methods, while using an order of magnitude less computational power and a fraction of the training data.
Abstract
Work has been underway for some time to design a compact electron beamline utilising X-band linear accelerating structures in the new Melbourne X-band Laboratory for Accelerators and Beams ...(X-LAB). The original design utilised an S-band RF photogun as an input to a pair of high gradient X-band linear accelerating structures, but we have been motivated to investigate an alternative starting section to allow for initial testing. This will utilise a DC photogun and S-band accelerating structure similar to those used at the Australian Synchrotron. Simulation results incorporating space charge of a beamline composed of a DC photogun, S-band accelerating structures, and two high gradient X-band structures will be presented. These simulation results will be optimised for minimum emittance at the end of the beamline.
Abstract
At the University of Melbourne X-LAB we are investigating the use of a low β acceptance X-band accelerating structure as part of the design of an all X-band RF electron preinjector optimised ...for the production of low emittance electron bunches for medical physics applications and compact light source development.
In this work we will elaborate on the estimated performance, design issues, and optimisation methodology of the preinjector beamline.
The Laplace resonance is a configuration that involves the commensurability between the mean motions of three small bodies revolving around a massive central one. This resonance was first observed in ...the case of the three inner Galilean satellites, Io, Europa, and Ganymede. In this work the Laplace resonance is generalised by considering a system of three satellites orbiting a planet that are involved in mean motion resonances. These Laplace-like resonances are classified in three categories: first-order (2:1&2:1, 3:2&3:2, 2:1&3:2), second-order (3:1&3:1) and mixed-order resonances (2:1&3:1). In order to study the dynamics of the system we implement a model that includes the gravitational interaction with the central body, the mutual gravitational interactions of the satellites, the effects due to the oblateness of the central body and the secular interaction of a fourth satellite and a distant star. Along with these contributions we include the tidal interaction between the central body and the innermost satellite. We study the survival of the Laplace-like resonances and the evolution of the orbital elements of the satellites under the tidal effects. Moreover, we study the possibility of capture into resonance of the fourth satellite.
Empty fruit bunches (EFBs) are an agro-industrial residue discarded in the environment when the fresh palm fruits are removed for oil extraction. EFBs are abundant in palm-oil-producing countries and ...cause environmental problems. Besides their content in lignocellulosic, EFBs also contain amounts of residual lipids from the separation process. Because the palm fruit has two main types of oil from the pulp (palm oil) or the seeds (kernal oil), the residual EFBs lipids may have different compositions. Thus, this work aimed at characterizing the lignocellulosic content and the residual lipids in two EFBs from different palm oil producers. The EFBs were classified as Type 1 and Type 2 according to their source. The results showed that Type 1 EFBs had higher lignocellulosic and fatty acid compositions, similar to palm and kernel oils, while Type 2 EFBs had lower lignocellulosic content and fatty acid composition, similar to palm oil.
Radiofrequency for benign and malign thyroid lesions Rangel, Leonardo; Volpi, Leonardo M.; Stabenow, Elaine ...
World Journal of Otorhinolaryngology-Head and Neck Surgery,
September 2020, Letnik:
6, Številka:
3
Journal Article
Recenzirano
Odprti dostop
Thermal ablation of thyroid nodules is new modality for the management of the benign and malign lesions. This minimally invasive treatment is performed as an outpatient, local anesthetic, single ...professional procedure that can treat neoplastic lesions without removing normal thyroid tissue and thus avoiding hypothyroidism.
A comprehensive review of the most relevant literature regarding the thermal ablation of benign and malign nodules was performed in order to currently define its role on the management of the nodular thyroid disease. The data was divided into benign and malign literature.
The benign nodules can be effectively treated by radiofrequency ablation (RFA) but some limitation exists regarding the nodule's size but not nodules characteristics. The RFA of primary malign tumors of the thyroid recently demonstrated positive and safe long-term follow-up and encouraged additional investigation and possibly a definitive role in the management of these low risk nodules.
RFA is a safe, cost-effective minimally invasive procedure that avoids thyroid tissue removal while destroying neoplastic one thus, preventing hypothyroidism.
AbstractSolid-state cultivation (SSC) may be defined as growth of microorganisms on a solid support impregnated or not with a nutrient solution in near absence of free-water conditions. The use of ...sugarcane bagasse as a support for SSC usually demands that the particles are impregnated and moistened with nutrient solution. Vinasse is the main wastewater of ethanol fermentation-distillation. As there are no reports of the use of wastewater for moistening solid supports in SSC, the proposal is the development of an innovative process, with valuation of these by-products. Thus, the aim of this research was to evaluate SSC of Aspergillus niger using sugarcane bagasse and vinasse for citric acid production. The results indicate that citric acid production and glucose consumption are dependent on oxygen availability, which can be modulated by selection of bed height and air-flow in packed-bed bioreactors.
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