295 research outputs found

    Sulfur reduction in sediments of marine and evaporite environments

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    Transformations of sulfur in sediments of ponds ranging in salinities from that of normal seawater to those of brines saturated with sodium chloride were examined. The chemistry of the sediment and pore waters were focused on with emphasis on the fate of sulfate reduction. The effects of increasing salinity on both forms of sulfur and microbial activity were determined. A unique set of chemical profiles and sulfate-reducing activity was found for the sediments of each of the sites examined. The quantity of organic matter in the salt pond sediments was significantly greater than that occurring in the adjacent intertidal site. The total quantitative and qualitative distribution of volatile fatty acids was also greater in the salt ponds. Volatile fatty acids increased with salinity

    Applicability and sensitivity of PCR-SSCP method for milk species identification in cheese

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    Species identification in food has become a prominent issue in recent years as the importance of consumer protection has increased. DNA-based species identification methods were developed by researchers in the last two decades, as these are reliable, accurate, and low-cost techniques for species identification in raw and processed food products as well. In our study, universal primers were designed to conserved regions of mitochondrial 12S rRNA. Amplicons were heat-denatured and a PCR single strand conformation polymorphism (SSCP) method was developed to identify cattle, buffalo, sheep, and goat DNA. Sensitivity of this technique was tested on DNA mixtures of cattle-sheep, cattle-goat, and cattle-buffalo and the threshold limit of cattle DNA was 5%, 5%, and 3%, respectively. One hundred and five cheeses were purchased and collected from Bosnian and Hungarian farmers, retails, and supermarkets to reveal fraud, 32 percent of them (34 cheeses) were found to be mislabelled by species

    Low and high beta band activity in the primary sensorimotor cortex is diminished by ipsilateral subthalamic stimulation in Parkinsonian patients [Abstract]

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    Objective: We analyzed how change of the low and high beta power in the primary sensorimotor cortex relates to different levels of subthalamic stimulation; we hypothesized that it is a suitable biomarker for a closed-loop system. Background: Beta power in the motor system is shown to indicate the kinetic state in Parkinson’s disease. Method: We recruited 20 Parkinsonian patients. Bradykinesia of the most affected hand was measured first with Kinesia motion sensor system (Great Lakes NeuroTechnologies) in medication withdrawal; and four levels of contralateral stimulation (0: OFF, 1-3: decreasing symptoms to ON state) was individually selected. We performed 64-channel electroencephalography (EEG) measurement during a resting state with the four levels of stimulation settings mentioned above. We stimulated the usually used contacts during the whole study, and the ipsilateral stimulation remained ON and unchanged. The 2 minutes long EEG segments were cleaned from DBS artifacts by in-house algorithms. We performed line-noise removal; eye blinks and muscle artifacts were eliminated using ICA analyses. We calculated spectral power at the low (13-20Hz) and high (21-30Hz) beta frequency bands at the sensorimotor cortical region both sides using a beamformer algorithm called the Dynamic Imaging of Coherent Sources. We used repeated measures ANOVA to compare power values in the different locations and stimulation conditions in the two frequency bands. The Medical Research Council in Hungary provided ethical approval. (080958/2015/OTIG). Results: Resting state low- and high-frequency beta power in the primary sensorimotor cortex gradually decreased with the elevation of the ipsilateral stimulation level. In the continuously stimulated contralateral hemisphere, beta power remained at the baseline level. The beta power values measured in the two hemispheres were significantly different in stimulation levels 0-2 but not in level 3 (p < 0.05) both in the low- and high-frequency bands. Conclusion: The change of beta power in the primary sensorimotor cortex during STN-DBS is strictly ipsilateral, and depends on the level of stimulation. Beta power in the sensorimotor cortex could be a potential biomarker for closed-loop DBS. The support of Medtronic Inc. for this project is gratefully acknowledged

    A group of three miRNAs can act as candidate circulating biomarkers in liquid biopsies from melanoma patients

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    Background: Staging of melanoma and follow up after melanoma diagnosis aims at predicting risk and detecting progression or recurrence at early stage, respectively in order to timely start and/or change treatment. Tumor thickness according to Breslow, status of the sentinel node and value of the lactate dehydrogenase (LDH) are well-established prognostic markers for metastatic risk, but reliable biomarkers identifying early recurrence or candidates who may benefit best from medical treatment are still warranted. Liquid biopsy has emerged to be a suitable method for identifying biomarkers for early cancer diagnosis, prognosis, therapeutic response prediction, and patient follow-up. Liquid biopsy is a blood- based non-invasive procedure that allows analyzing circulating analytes, including extracellular vesicles. Methods: In this study we have explored the use of 7 miRNAs, namely hsa- miR-149-3p, hsa-miR-150-5p, hsa-miR-21-5p, hsa-miR-200c-3p, hsa-miR-134- 5p, hsa-miR-144-3p and hsa-miR-221-3p in plasma exosomes to discriminate melanoma patients from controls without melanoma in a cohort of 92 individuals. Results and discussion: Our results showed that three out seven miRNAs, namely hsa-miR-200c-3p, hsa-miR-144-3p and hsa-miR-221-3p were differentially expressed in plasma-derived exosomes from melanoma patients and controls. Furthermore, the expression of the three miRNAs may be a promising ancillary tool as a melanoma biomarker, even for discriminating between nevi and melanoma

    Reproduction Efficiency and Health Traits in Dorper, White Dorper, and Tsigai Sheep Breeds under Temperate European Conditions

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    The objective of the current pilot study was to evaluate the reproductive performance and health indicators in Dorper, White Dorper, and Tsigai breed ewes managed semi-intensively under European temperate conditions. A total of 544 ewe-year units were observed, with ewes (ranging from 1.5 to 8 years of age) managed under identical rearing conditions for a period of two consecutive production cycles (2012 through 2013 and 2013 through 2014). In general, significant (p≀0.001) genotype-related disparities were found in occurrence rates for all health parameters taken into study. Clinical mastitis incidence was significantly lower (p≀0.05) in Dorper (9.4%) and White Dorper (10.8%) breeds compared to that of Tsigai ewes (17.4%). Significant differences (p≀0.05) for lameness were found between Dorper and Tsigai breeds, with occurrence rates of 8.0% and 2.9%, respectively. Incidence for pneumonia and abortion was not influenced (p>0.05) by the ewes’ genotype. Litter size was significantly lower (p≀0.05) in White Dorper breed than for Dorper and Tsigai ewes, of 1.21, 1.40, and 1.45, respectively. Conception rates and lambs survival were not affected (p>0.05) by genotype. Results suggest that South African Dorper and White Dorper sheep breeds have adapted well to the specific rearing conditions

    Practical computational toolkits for dendrimers and dendrons structure design

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    Dendrimers and dendrons offer an excellent platform for developing novel drug delivery systems and medicines. The rational design and further development of these repetitively branched systems are restricted by difficulties in scalable synthesis and structural determination, which can be overcome by judicious use of molecular modelling and molecular simulations. A major difficulty to utilise in silico studies to design dendrimers lies in the laborious generation of their structures. Current modelling tools utilise automated assembly of simpler dendrimers or the inefficient manual assembly of monomer precursors to generate more complicated dendrimer structures. Herein we describe two novel graphical user interface (GUI) toolkits written in Python that provide an improved degree of automation for rapid assembly of dendrimers and generation of their 2D and 3D structures. Our first toolkit uses the RDkit library, SMILES nomenclature of monomers and SMARTS reaction nomenclature to generate SMILES and mol files of dendrimers without 3D coordinates. These files are used for simple graphical representations and storing their structures in databases. The second toolkit assembles complex topology dendrimers from monomers to construct 3D dendrimer structures to be used as starting points for simulation using existing and widely available software and force fields. Both tools were validated for ease-of-use to prototype dendrimer structure and the second toolkit was especially relevant for dendrimers of high complexity and size.Peer reviewe

    Homomorphisms from functional equations: the Goldie equation

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    The theory of regular variation, in its Karamata and Bojani®c-Karamata/de Haan forms, is long established and makes essential use of the Cauchy functional equation. Both forms are subsumed within the recent theory of Beurling regular variation, developed elsewhere. Various generalizations of the Cauchy equation, including the GoƂab–Schinzel functional equation (GS) and Goldie's equation (GBE) below, are prominent there. Here we unify their treatment by algebraicization: extensive use of group structures introduced by Popa and Javor in the 1960s turn all the various (known) solutions into homomorphisms, in fact identifying them 'en passant', and show that (GS) is present everywhere, even if in a thick disguise
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