Expression and response surface optimization of the recovery and purification of recombinant D-galactose dehydrogenase from Pseudomonas fluorescens

The enzyme D-galactose dehydrogenase (GalDH) has been used in diagnostic kits to screen blood serum of neonates for galactosemia. It is also a significant tool for the measurement of β-D-galactose, α-D-galactose and lactose as well. In this study, response surface methodology (RSM) was used to identify the suitable conditions for recovery of recombinant GalDH from Pseudomonas fluorescens in aqueous two-phase systems (ATPS). The identified GalDH gene was amplified by PCR and confirmed by further cloning and sequencing. E. coli BL-21 (DE3) containing the GalDH gene on a plasmid (pET28aGDH) was used to express and purify the recombinant enzyme. The polyethylene glycol (PEG) and ammonium sulfate concentrations and pH value were selected as variables to analyze purification of GalDH. To build mathematical models, RSM with a central composite design was applied based on the conditions for the highest separation. The recombinant GalDH enzyme was expressed after induction with IPTG. It showed NAD+-dependent dehydrogenase activity towards D-Galactose. According to the RSM modeling, an optimal ATPS was composed of PEG-2000 14.0 (w/w) and ammonium sulfate 12.0 (w/w) at pH 7.5. Under these conditions, GalDH preferentially concentrated in the top PEG-rich phase. The enzyme activity, purification factor (PF) and recovery (R) were 1400 U/ml, 60.0 and 270.0, respectively. The PEG and salt concentrations were found to have significant effect on the recovery of enzyme. Briefly, our data showed that RSM could be an appropriate tool to define the best ATPS for recombinant P. fluorescens GalDH recovery. © 2015 National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved

Excavator Wheel Drive Reconstruction.

Import 05/08/2014V této práci je popsán pomocný pohon kolesa rypadla a možnost jeho rozběhu softstartérem a frekvenčním měničem. V první části je probrán asynchronní motor s kotvou nakrátko, jeho popis a princip funkce. Další části se věnují softstartéru a frekvenčnímu měniči, jejich popisu, funkcím a možnostem řízení. Dále je zde provedeno měření jejich vlivu na síť. Poslední část je věnována návrhu rekonstrukce pohonu pro napájení s frekvenčním měničem.This thesis describes the auxiliary drive wheel excavators and the possibility of starting the softstarter and frequency converter. In the first part of the document the asynchronous motor with squirrel cage is discussed, its description and function. Other parts of the document are devoted to the soft starter and frequency converter, their description, function and management options. Furthermore, there is performed measurement of their effect on the network. The last section is devoted to the design of the reconstruction drive with the frequency converter.410 - Katedra elektroenergetikyvýborn

A case study of an individual participant data meta-analysis of diagnostic accuracy showed that prediction regions represented heterogeneity well

The diagnostic accuracy of a screening tool is often characterized by its sensitivity and specificity. An analysis of these measures must consider their intrinsic correlation. In the context of an individual participant data meta-analysis, heterogeneity is one of the main components of the analysis. When using a random-effects meta-analytic model, prediction regions provide deeper insight into the effect of heterogeneity on the variability of estimated accuracy measures across the entire studied population, not just the average. This study aimed to investigate heterogeneity via prediction regions in an individual participant data meta-analysis of the sensitivity and specificity of the Patient Health Questionnaire-9 for screening to detect major depression. From the total number of studies in the pool, four dates were selected containing roughly 25%, 50%, 75% and 100% of the total number of participants. A bivariate random-effects model was fitted to studies up to and including each of these dates to jointly estimate sensitivity and specificity. Two-dimensional prediction regions were plotted in ROC-space. Subgroup analyses were carried out on sex and age, regardless of the date of the study. The dataset comprised 17,436 participants from 58 primary studies of which 2322 (13.3%) presented cases of major depression. Point estimates of sensitivity and specificity did not differ importantly as more studies were added to the model. However, correlation of the measures increased. As expected, standard errors of the logit pooled TPR and FPR consistently decreased as more studies were used, while standard deviations of the random-effects did not decrease monotonically. Subgroup analysis by sex did not reveal important contributions for observed heterogeneity; however, the shape of the prediction regions differed. Subgroup analysis by age did not reveal meaningful contributions to the heterogeneity and the prediction regions were similar in shape. Prediction intervals and regions reveal previously unseen trends in a dataset. In the context of a meta-analysis of diagnostic test accuracy, prediction regions can display the range of accuracy measures in different populations and settings

Synthesis and characterization of novel 99mTc-DGC nano-complexes for improvement of heart diagnostic

In this research, early diagnosis of cardiovascular diseases can reduce their mortality and burden. In our study, we developed a new nano-agent, 99mTc-Dendrimer Glyco Conjugate (99mTc-DGC), and assessed its safety and capability for myocardial viability scan. To develop 99mTc-DGC, we first synthesized the dendrimer and then, glucose has been conjugated. Afterwards, we measured toxicity of the product on normal cells by XTT and apoptosis/necrosis methods. We compared the myocardial viability scan (measured by SPECT and dynamic planar imaging) in two rabbit models, with and without infarction. We also assessed the biodistribution of 99mTc-DGC in rats with no infarction. DGC synthesis was confirmed by Fourier transform infrared (FT-IR), proton nuclear magnetic resonance (1H NMR), liquid chromatography-mass spectrometry (LC-MS), dynamic light scattering (DLS) and static light scattering techniques (SLS). Then radiochemical purity (RCP) was done to present the stability and potential of DGC to complex formation with 99mTc. In vitro cytotoxicity showed nontoxic concentration up to 8 mg/mL. Single Photon Emission Computed Tomography (SPECT) and dynamic planar imaging clearly showed the accumulation of 99mTc-DGC in myocardial. Biodistribution result showed the 2.60 accumulation of 99mTc-DGC in myocardial after 2 h. Our findings indicated 99mTc-DGC to be safe and can accurately diagnose myocardial infarctions at early stages. Human studies to further assess such effects are critical. © 2020 Elsevier Inc

Selenium and its relationship with selenoprotein P and glutathione peroxidase in children and adolescents with Hashimoto's thyroiditis and hypothyroidism

The essential trace element selenium (Se) is required for thyroid hormone synthesis and metabolism. Selenoproteins contain selenocysteine and are responsible for biological functions of selenium. Glutathione peroxidase (GPx) is one of the major selenoproteins which protects the thyroid cells from oxidative damage. Selenoprotein P (SePP) is considered as the plasma selenium transporter to tissues. The aim of this study was to evaluate serum Se and SePP levels, and GPx activity in erythrocytes of children and adolescents with treated Hashimoto's thyroiditis, hypothyroidism, and normal subjects.Blood samples were collected from 32 patients with Hashimoto's thyroiditis, 20 with hypothyroidism, and 25 matched normal subjects. All the patients were under treatment with levothyroxine and at the time of analysis all of the thyroid function tests were normal. GPx enzyme activity was measured by spectrophotometry at 340 nm. Serum selenium levels were measured by high-resolution continuum source graphite furnace atomic absorption. SePP, TPOAb (anti-thyroid peroxidase antibody), and TgAb (anti-thyroglobulin antibody) were determined by ELISA kits. T4, T3, T3 uptake and TSH were also measured. Neither GPx activity nor SePP levels were significantly different in patients with Hashimoto's thyroiditis or hypothyroidism compared to normal subjects. Although GPx and SePP were both lower in patients with hypothyroidism compared to those with Hashimoto's thyroiditis and normal subjects but the difference was not significant. Serum Se levels also did not differ significantly in patients and normal subjects. We did not find any correlation between GPx or SePP with TPOAb or TgAb but SePP was significantly correlated with Se. Results show that in patients with Hashimoto's thyroiditis or hypothyroidism who have been under treatment with levothyroxine and have normal thyroid function tests, the GPx, SePP and Se levels are not significantly different. © 2015 Elsevier GmbH

Sequence to sequence autoencoders for unsupervised representation learning from audio

Probabilistic analysis for metric optimization problems has mostly been conducted on random Euclidean instances, but little is known about metric instances drawn from distributions other than the Euclidean. This motivates our study of random metric instances for optimization problems obtained as follows: Every edge of a complete graph gets a weight drawn independently at random. The length of an edge is then the length of a shortest path (with respect to the weights drawn) that connects its two endpoints. We prove structural properties of the random shortest path metrics generated in this way. Our main structural contribution is the construction of a good clustering. Then we apply these findings to analyze the approximation ratios of heuristics for matching, the traveling salesman problem (TSP), and the k-center problem, as well as the running-time of the 2-opt heuristic for the TSP. The bounds that we obtain are considerably better than the respective worst-case bounds. This suggests that random shortest path metrics are easy instances, similar to random Euclidean instances, albeit for completely different structural reasons