The probability of nonsense mutation caused by replication-associated mutational pressure is much higher for bacterial genes from lagging than from leading strands

AbstractWe studied nucleotide usage biases in 4-fold degenerated sites of all the genes from leading and lagging strands of 30 bacterial genomes. The level of guanine in 4-fold degenerated sites (G4f) is significantly lower in genes from lagging strands than in genes from leading strands, probably because of the faster rates of guanine oxidation in single-stranded DNA leading to G to T transversions. The rates of cytosine deamination causing C to T transitions are also higher in lagging strands. We showed that the level of codons able to form stop-codons by the way of G to T transversions and C to T transitions is always higher than the level of codons able to form stop-codons by the way of C to A transversions and G to A transitions. This circumstance can be an explanation of the lower percent of ORFs in lagging strands of bacterial replichores than in leading strands

The hemodynamic repercussions of the autonomic modulations in growth-restricted fetuses

Objectives: Idiopathic fetal growth restriction is considered to be associated with hemodynamic abnormalities.Objectives: The study was aimed to the investigation of the relationship between fetal and maternal autonomic balance, arterial and venous hemodynamic Doppler indices and CTG variables in case of normal fetal development and fetal growth restriction.Methods: 106 patients at 32–40 weeks of gestation were enrolled in the study. 30 of them had healthy pregnancy and were involved in Group I. In Group II, 44 pregnant women with fetal growth restriction and normal umbilical hemodynamic Doppler indices were observed. 32 patients with fetal growth restriction and an absent or reversed end-diastolic umbilical flow were monitored in Group III. The curves of maximum blood flow velocity were isolated and their spectral components were determined from the umbilical Doppler spectrograms. The maternal and fetal heart rate variability, conventional CTG patterns were obtained from RR-interval time series registered from maternal abdominal wall electrocardiographically.Results: The increased adrenergic regulation has modulated parasympathetic impact on fetal cardiovascular system. The decreased reactivity was mirrored in low LTV, lack of accelerations and an increased score of decelerations.Results: The CTG findings were also featured by the revealed correlations demonstrated an obvious relationship between fetal and maternal hemodynamics in healthy pregnancy. It was possible to speculate that a controlling signal of 0.5 Hz has played a significant role in the umbilical venous blood flow. The decreased fetal autonomic tone and the fetal and maternal hemodynamic decoupling were found in growth-retarded fetuses.Conclusion: Fetal heart rate pattern was influenced by maternal and fetal autonomic tone. Maternal cardiovascular oscillations were reflected in the umbilical circulation in healthy pregnancy Fetal distress was featured by sympathetic overactivity and the reduction of vagal tone. Such autonomic modulations was manifested by the decelerative pattern of CTG and deteriorated umbilical hemodynamics

Intelligent robust control of redun-dant smart robotic arm Pt II: Quantum computing KB optimizer

In the first part of the article, two ways of fuzzy controller’s implementation showed. First way applied one controller for all links of the manipulator and showed the best performance. However, such an implementation is not possible in complex control objects, such as a planar redundant manipulator with seven degrees of freedom (DoF). The second way use of separated control when an independent fuzzy controller controls each link. The decomposition control due to a slight decrease in the quality of management has greatly simplified the processes of creating and placing knowledge bases. In this paper (Part II), the advantages and limitations of intelligent control systems based on soft computing technology described. To eliminate the mismatch of the work of separate independent fuzzy controllers, methods for self-organizing coordination control based on quantum computing technologies to create and design robust intelligent control systems for robotic manipulators with 3DOF and 7DOF described. Quantum fuzzy inference as quantum self-organization algorithm of imperfect KBs introduced. Quantum computational intelligence smart toolkit QCOptKBTMbased on quantum fuzzy inference applied. QCOptKBTM toolkit include quantum deep machine learning in on line. Successful engineering application of end-to-end quantum computing information technologies (as quantum sophisticated algorithms and quantum programming) in searching of solutions of algorithmic unsolved problems in classical dynamic intelligent control systems, artificial intelligence (AI) and intelligent cognitive robotics discussed. Quantum computing supremacy in efficient solution of intractable classical tasks as global robustness of redundant robotic manipulator in unpredicted control situations demonstrated. As result, the new synergetic self-organization information effect of robust KB design from responses of imperfect KBs (partial KB robustness cretead on toolkit SCOptKBTM in Pat I) fined

Electron cyclotron resonance plasma enhanced chemical vapour deposition of sioxny : optical properties and applications

D.Ing. (Electrical And Electronic Engineering )Please refer to full text to view abstrac

Quantum Algorithm of Imperfect KB Self-organization Pt I: Smart Control-Information-Thermodynamic Bounds

The quantum self-organization algorithm model of wise knowledge base design for intelligent fuzzy controllers with required robust level considered. Background of the model is a new model of quantum inference based on quantum genetic algorithm. Quantum genetic algorithm applied on line for the quantum correlation’s type searching between unknown solutions in quantum superposition of imperfect knowledge bases of intelligent controllers designed on soft computing. Disturbance conditions of analytical information-thermodynamic trade-off interrelations between main control quality measures (as new design laws) discussed in Part I. The smart control design with guaranteed achievement of these tradeoff interrelations is main goal for quantum self-organization algorithm of imperfect KB. Sophisticated synergetic quantum information effect in Part I (autonomous robot in unpredicted control situations) and II (swarm robots with imperfect KB exchanging between “master - slaves”) introduced: a new robust smart controller on line designed from responses on unpredicted control situations of any imperfect KB applying quantum hidden information extracted from quantum correlation. Within the toolkit of classical intelligent control, the achievement of the similar synergetic information effect is impossible. Benchmarks of intelligent cognitive robotic control applications considered

Interrogation outcomes and linguistic style matching

textCooperation is an important aspect of investigative interviews and is usually obtained through rapport-building during questioning. The specific strategies used vary between interviewers, but nonetheless involves actively engaging with the interviewee. Previous research on behavioral mimicry has found that there is a positive association between rapport and mimicry. The current study looked at the relationship between linguistic mimicry and interrogation outcome. Specifically, the interrogations that were analyzed were of professional polygraph examiners questioning subjects about whether cheating occurred during a trivia game. Results showed partial support for deceptive non- confessions matching more at the beginning of the interrogation compared to confessions. Also, there was evidence that linguistic matching increased from pre-confession to post- confession and those confessions that that were initially deceptive tended to increase in mimicry as the interrogation progressed. Results and implications are discussed.Communication Studie

Методика обчислення параметрів магнітного поля обмеженої території

. Global Earth’s Magnetic field is one of the most important things in planetary structure. Also magnetic field is one of the key elements for navigation purposes. Its parameters are extremely important for direction detection and other applications. For example in inertial navigation systems global magnetic field has been used for sensors calibration. Characteristics of magnetic field have been using for rotation detection and angular speed calculation too. Typically total magnetic field in some point of atmosphere has been sum of thee different components: main magnetic field – is result of geomagnetic process inside of Earth core; external magnetic field – is result of sun influence, depends on current solar activity and usually less than 5% of total magnetic field; anomalous – is result of influence of different ground anomalous areas which contain some ore deposits with magnetic characteristics in earth crust. Nowadays it is possible to detect influence of different human – made structures to total magnetic field. This is the result of wide metal construction usage in city building. Of course this type of influence is a part of anomalous magnetic field, but it is directly connected with results of human changing. In this case we can access natural and human based components of anomalous field. Also for humane based part we can include different electrical devices which can result in magnetic injection. Nowadays different international programs investigate and monitor characteristics of magnetic field. National oceanic and atmospheric administration (NOAA), U.S. Geological Survey (USGS), Swarm earth explorers by European Space Agency (ESA) investigate this problem, but in common way all of them are been oriented into global scale of magnetic field. Modern navigation devices and sensors grounded on magnetic field characteristics have been using magnetic field models which don’t contain data about humane-based part of magnetic field. In result non accurate model produce errors which will be in result of positioning or heading error. In some cases influence of human-based field will be very valuable for navigation purposes. That’s why the aim of this work to describe methodology of local magnetic field parameters measurement by typical users equipment