Spatial distribution and temporal variability of some aquatic insects in the Franco-Geneva River,Allondon

The Allodon River, a tributary of the Rhône, has suffered considerably from the recent expansion of human activities in the Geneva region. This study documents changes in its benthic fauna by comparing species richness before and after 1986 and by considering the possibilities of recolonization by drift.

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Résumé L'Allondon, affluent du Rhône, est une rivière qui a considérablemen t souffert d'une expansion récente des activités humaines dans la région genevoise. Cette étude met en lumière l'évolution de certains éléments de la faune benthique en comparant les richesses specifiques avant et après 1986, année critique pour la macrofaune benthique du bassin genevois. Elle met en évidence les possibilités de recolonisation par dérive de certains recours de l'Allondon à partir d'affluents moins perturbés.

     

Effect of methylenetetrahydrofolate reductase gene polymorphisms and oxidative stress in silent brain infarction

Ischemic infarctions occur under the influence of genetic and environmental factors. In our study, the role of ischemia-modified albumin and thiol balance, which are new markers in determining oxidative damage together with MTHFR gene polymorphisms and homocysteine levels, in the development of SBI was investigated. White matter lesions in the magnetic resonance imaging (MRI) results of the patients were evaluated according to the Fazekas scale and divided into groups (Grade 0, 1, 2, and 3). Homocysteine, folate, B12, IMA, total thiol, and native thiol were measured by biochemical methods. The polymorphisms in MTHFR genes were investigated by the RT-PCR method. According to our results, a significant difference was found between the groups in age, homocysteine, folate, IMA, total thiol, and native thiol parameters (p?<?0.05). When we compared the groups in terms of genotypes of the C677T gene, we found a significant difference in TT genotype between grades 0/3 and 1/3 (p?<?0.05). We determined that homocysteine and IMA levels increased and folate levels decreased in CC/TT and CT/TT genotypes in the C677T gene (p?<?0.05). Considering our results, the observation of homocysteine and IMA changes at the genotype level of the MTHFR C677T gene and between the groups, and the deterioration of thiol balance between the groups suggested that these markers can be used in the diagnosis of silent brain infarction.

     

Isolation,technological characterization and in vitro probiotic evaluation of Lactococcus strains from traditional Turkish skin bag Tulum cheeses

Purpose

The present study was undertaken to evaluate in vitro prerequisite probiotic and technological characteristics of ten Lactococcus strains isolated from traditional goat skin bags of Tulum cheeses from the Central Taurus mountain range in Turkey.

Methods

All isolates were identified based on the nucleotide sequences of the 16S rRNA gene. Eight isolates belonged to Lactococcus lactis and two belonged to Lactococcus garvieae. Probiotic potential was determined from resistance to acid and bile salt, resistance to gastric and pancreatic juices, resistance to antibiotic, auto-aggregation, co-aggregation, diacetyl, hydrogen peroxide and exopolysaccharide productions. Technological properties were verified by alcohol, NaCl and hydrogen peroxide resistance and temperature tests.

Results

L. lactis NTH7 displayed high growth at all alcohol concentrations while L. lactis NTH4 grew very well even at NaCl concentrations of 10%. All strains showed to some extent resistance to acid and bile. Five strains exhibited desirable survival in gastric juice (pH 2.0), while three strains survived in pancreatic juice (pH 8.0). All Lactococcus isolates were sensitive to ampicillin, chloramphenicol, erythromycin, vancomycin, kanamycin, gentamycin and tetracycline. Also, only L. lactis NTH7 from among the isolates showed resistance against penicillin. L. lactis NTH10 and L. lactis NTH7 had higher auto-aggregation values in comparison with all other strains. All the strains demonstrated a co-aggregation ability against model food pathogens, particularly, L. lactis NTH10 which showed a superior ability with L. monocytogenes. All the ten strains produced H₂O₂ and exopolysaccharide (EPS); however, diacetyl production was detected for only four strains including L. lactis NTH10.

Conclusion

These results demonstrate that the L. lactis NTH10 isolate could be regarded as a favorable probiotic candidate for future in vivo studies.

     

Levels of some trace elements and rheumatoid factor in sheep with brucellosis

Brucellosis is a zoonotic disease that is encountered in sheep rather frequently. In this study, 100 sheep diagnosed with brucellosis that had aborts and 40 healthy sheep were used as materials. Analyses for Cu, Zn, Fe, Cr, Ca, Mg, and K were performed with the atomic absorption spectrophotometric method on blood collected from vena jugularis of all the sheep and rheumatoid factor levels were determined by the nephelometry method. Although it was found that Cu, Ca, and rheumatoid factor values in the sera of the sheep with brucellosis were high when compared to the control group (p<0.001, p<0.05, p<0.001, respectively), their serum Zn values were low (p<0.05). No significant changes in serum Cr, Fe, K, and Mg levels were found.     

High-resolution multiple-unit EEG in cat auditory cortex reveals large spatio-temporal stochastic interactions

It has been argued that information processing in the cortex is optimised with regard to certain information theoretic principles. We have, for instance, recently shown that spike-timing dependent plasticity can improve an information-theoretic measure called spatio-temporal stochastic interaction which captures how strongly a set of neurons cooperates in space and time. Systems with high stochastic interaction reveal Poisson spike trains but nonetheless occupy only a strongly reduced area in their global phase space, they reveal repetiting but complex global activation patterns, and they can be interpreted as computational systems operating on selected sets of collective patterns or "global states" in a rule-like manner. In the present work we investigate stochastic interaction in high-resolution EEG-data from cat auditory cortex. Using Kohonen maps to reduce the high-dimensional dynamics of the system, we are able to detect repetiting system states and estimate the stochastic interaction in the data, which turns out to be fairly high. This suggests an organised cooperation in the underlying neural networks which cause the data and may reflect generic intrinsic computational capabilities of the cortex.     

Serum free prostate-specific antigen and zinc levels in experimental acute pancreatitis

Serum free prostate-specific antigen (fPSA) is the most useful tumor marker for prostatic cancer screening. However, recently, fPSA has also been detected in sera from patients with pancreatic diseases. In addition, it has been shown that zinc (Zn) concentration might change in both serum and tissues in pancreatic disease. In the present study, we measured serum concentrations of fPSA and Zn as possible markers and prognostic factors in an experimental acute-pancreatitis model. Twenty-five female Wistar albino rats were divided into two groups: the control group (n=10) and the experimental group (n=15). Acute pancreatitis was induced by injection of ethyl alcohol into the common biliary duct. The animals were sacrificed 24 h later to detect the concentrations of serum fPSA and Zn. fPSA values were detected to be significantly higher in the experimental group p<0.001). There was also a significant decrease in the serum Zn level of the acute-pancreatitis group (p<0.001). In conclusion, these findings suggested that a combination of these parameters might represent a significant improvement on the diagnostic value of each of them separately and provide a powerful tool for differential diagnosis and prognosis in pancreatic diseases.     

Information-driven self-organization: the dynamical system approach to autonomous robot behavior

In recent years, information theory has come into the focus of researchers interested in the sensorimotor dynamics of both robots and living beings. One root for these approaches is the idea that living beings are information processing systems and that the optimization of these processes should be an evolutionary advantage. Apart from these more fundamental questions, there is much interest recently in the question how a robot can be equipped with an internal drive for innovation or curiosity that may serve as a drive for an open-ended, self-determined development of the robot. The success of these approaches depends essentially on the choice of a convenient measure for the information. This article studies in some detail the use of the predictive information (PI), also called excess entropy or effective measure complexity, of the sensorimotor process. The PI of a process quantifies the total information of past experience that can be used for predicting future events. However, the application of information theoretic measures in robotics mostly is restricted to the case of a finite, discrete state-action space. This article aims at applying the PI in the dynamical systems approach to robot control. We study linear systems as a first step and derive exact results for the PI together with explicit learning rules for the parameters of the controller. Interestingly, these learning rules are of Hebbian nature and local in the sense that the synaptic update is given by the product of activities available directly at the pertinent synaptic ports. The general findings are exemplified by a number of case studies. In particular, in a two-dimensional system, designed at mimicking embodied systems with latent oscillatory locomotion patterns, it is shown that maximizing the PI means to recognize and amplify the latent modes of the robotic system. This and many other examples show that the learning rules derived from the maximum PI principle are a versatile tool for the self-organization of behavior in complex robotic systems.     

Serum Selenium,Vitamin E,and Sialic Acids Concentrations in Lambs with White Muscle Disease

The aim of this study was to determine the serum concentrations of selenium, vitamin E, and total- and lipid-bound sialic acid (LBSA) in lambs with white muscle disease (WMD) before and after treatment with a commercial preparation containing selenite and vitamin E. Fifteen lambs with WMD and ten control animals were used as research materials. Blood samples were collected from both groups before- and 1 month after treatment for Se analysis by fluorimetry, whereas vitamin E and sialic acid were measured by HPLC and spectrophotometry, respectively. Compared to controls, in the diseased animals, there was a significant increase of serum total sialic acid (TSA) and LBSA, together with significant decreases of serum Se and vitamin E concentrations (p < 0.001). One month after treatment, a reversal of trend was observed with decreases of TSA and LBSA and increases of Se and vitamin E concentrations. The TSA and LBSA levels, however, remained significantly higher than those of the controls, p < 0.05 and 0.001, respectively. The Se and vitamin E concentrations of the treated animals were the same as those of controls. This is the first study on total and LBSA concentrations in lambs with WMD, showing that these markers can be used in the prognosis of the disease.     

The effect of weekend curfews on epidemics: a Monte Carlo simulation

The ongoing COVID-19 pandemic is being responded with various methods, applying vaccines, experimental treatment options, total lockdowns or partial curfews. Weekend curfews are among the methods for reducing the number of infected persons, and this method is practically applied in some countries such as Turkey. In this study, the effect of weekend curfews on reducing the spread of a contagious disease, such as COVID-19, is modeled using a Monte Carlo algorithm with a hybrid lattice model. In the simulation setup, a fictional country with three towns and 26,610 citizens were used as a model. Results indicate that applying a weekend curfew reduces the ratio of ill cases from 0.23 to 0.15. The results also show that applying personal precautions such as social distancing is important for reducing the number of cases and deaths. If the probability of disease spread can be reduced to 0.1, in that case, the death ratio can be minimized down to 0.