Degree Of Fluctuation Research Articles

Serum amyloid A protein (SAA), haptoglobin (Hp) and selected hematological and biochemical parameters in wild mares before and after parturition.

The aim of the study was to evaluate physiological changes in hematological and biochemical parameters in mares in perinatal period. Blood samples were collected from 24 pregnant Polish Konik breed mares which were divided into two groups. The first group (Group - I, n=12) comprised mares living in the wild, in the reserve. The second group (Group - II, n=12) consisted of mares kept in stables. The blood was collected 2 weeks prior to the parturition, then 24 hours after the delivery, and then at the 7th and 21st day after foaling. When comparing the two groups before the parturition, no significant differences in terms of WBC, RBC, and Hb were found, however, there was a significant difference in MCV, MCH, LYM, NEU and SEG NEU (p≤0.05). In Group II, 24 hours after the parturition and at the 21st day after foaling, a significant raise in WBC, NEU and SEG NEU (p≤0.05) was detected. No significant differences in serum concentrations of proteins such as TP, Alb or Glb were observed. As to acute phase proteins, significant rise in SAA and Hp (p≤0.05) was found in the two examined groups 24 hours after the parturition. Yet, this rise remained within physiological range. The study revealed a certain degree of fluctuations in hematological parameters, in serum concentrations of acute-phase proteins and total proteins in the mares in the perinatal period. However, these changes remained still within physiological ranges and thus they do not indicate potential susceptibility to disorders of perinatal period.

ALMA Long Baseline Campaigns: Phase Characteristics of Atmosphere at Long Baselines in the Millimeter and Submillimeter Wavelengths

We present millimeter- and submillimeter-wave phase characteristics measured between 2012 and 2014 of Atacama Large Millimeter/submillimeter Array long baseline campaigns. This paper presents the first detailed investigation of the characteristics of phase fluctuation and phase correction methods obtained with baseline lengths up to ∼15 km. The basic phase fluctuation characteristics can be expressed with the spatial structure function (SSF). Most of the SSFs show that the phase fluctuation increases as a function of baseline length, with a power-law slope of ∼0.6. In many cases, we find that the slope becomes shallower (average of ∼0.2–0.3) at baseline lengths longer than ∼1 km, namely showing a turn-over in SSF. These power law slopes do not change with the amount of precipitable water vapor (PWV), but the fitted constants have a weak correlation with PWV, so that the phase fluctuation at a baseline length of 10 km also increases as a function of PWV. The phase correction method using water vapor radiometers (WVRs) works well, especially for the cases where PWV , which reduces the degree of phase fluctuations by a factor of two in many cases. However, phase fluctuations still remain after the WVR phase correction, suggesting the existence of other turbulent constituent that cause the phase fluctuation. This is supported by occasional SSFs that do not exhibit any turn-over; these are only seen when the PWV is low (i.e., when the WVR phase correction works less effectively) or after WVR phase correction. This means that the phase fluctuation caused by this turbulent constituent is inherently smaller than that caused by water vapor. Since in these rare cases there is no turn-over in the SSF up to the maximum baseline length of ∼15 km, this turbulent constituent must have scale height of 10 km or more, and thus cannot be water vapor, whose scale height is around 1 km. Based on the characteristics, this large scale height turbulent constituent is likely to be water ice or a dry component. Excess path length fluctuation after the WVR phase correction at a baseline length of 10 km is large (), which is significant for high frequency ( or ) observations. These results suggest the need for an additional phase correction method to reduce the degree of phase fluctuation, such as fast switching, in addition to the WVR phase correction. We simulated the fast switching phase correction method using observations of single quasars, and the result suggests that it works well, with shorter cycle times linearly improving the coherence.

One-Way Allosteric Communication between the Two Disulfide Bonds in Tissue Factor

Tissue factor (TF) is a transmembrane glycoprotein that plays distinct roles in the initiation of extrinsic coagulation cascade and thrombosis. TF contains two disulfide bonds, one each in the N-terminal and C-terminal extracellular domains. The C-domain disulfide, Cys186-Cys209, has a −RHStaple configuration in crystal structures, suggesting that this disulfide carries high pre-stress. The redox state of this disulfide has been proposed to regulate TF encryption/decryption. Ablating the N-domain Cys49-Cys57 disulfide bond was found to increase the redox potential of the Cys186-Cys209 bond, implying an allosteric communication between the domains. Using molecular dynamics simulations, we observed that the Cys186-Cys209 disulfide bond retained the −RHStaple configuration, whereas the Cys49-Cys57 disulfide bond fluctuated widely. The Cys186-Cys209 bond featured the typical −RHStaple disulfide properties, such as a longer S-S bond length, larger C-S-S angles, and higher bonded prestress, in comparison to the Cys49-Cys57 bond. Force distribution analysis was used to sense the subtle structural changes upon ablating the disulfide bonds, and allowed us to identify a one-way allosteric communication mechanism from the N-terminal to the C-terminal domain. We propose a force propagation pathway using a shortest-pathway algorithm, which we suggest is a useful method for searching allosteric signal transduction pathways in proteins. As a possible explanation for the pathway being one-way, we identified a pronounced lower degree of conformational fluctuation, or effectively higher stiffness, in the N-terminal domain. Thus, the changes of the rigid domain (N-terminal domain) can induce mechanical force propagation to the soft domain (C-terminal domain), but not vice versa.

INTENSITY OF QUANTITATIVE TRAITS VARIATION OF THE SOYBEAN STARTING MATERIAL

The study of variability degree of the traits-elements of the yield structure in specific soil-climatic conditions is of great importance for the making of highly productive and yielding varieties. The variability of the plant organism is determined by the genetic predisposition and depends on the growing conditions, including the meteorological features of the growing season. To determine the maximum and minimum values of the quantitative characteristics of the initial material, we studied the oscillation coefficient (Vr). It made it possible to estimate the extreme points of fluctuations of variability relative to the mean, showed the potential for the rate of reaction of the geno-types of the introducing soybean samples under changing growing conditions. Comparative field studies of Glycine max L. populations of different origins were conducted in 2015-2016 in the Moscow region conditions and revealed different variability strength of quantitative traits and their data changes. Variation characteristics of yield structure elements were studied in the populations representing 190 soybean Russian and foreign breeding samples of 000-00 ripeness groups. We used assessment of the variation intensity according to the structural yield analysis. Using structural analysis we selected individual plants and made breeding lines with the best combination of yield structure elements. Analysis of variance defined the diversity contribution of different collection samples in total variance of each quantitative trait. We studied the variability of the following indicators: plant height, height of attachment of the lower bean, number of branches per plant, number of beans per plant, number of productive nodes, average number of beans in a node, number of seeds per plant, average number of seeds in a bean, weight of seeds per plant, weight of 1000 seeds. We identified different intensities of each variations, features by years. The suitability of soybean varieties for mechanized harvesting is largely determined by the height of the attachment of the lower bean, which directly affects crop losses. Oscillation of the attachment height of the lower bean was on average high (Vr = 170%). This feature showed a high degree of fluctuations in population limits, which indicates a significant level of influence of modification variability. Variability analysis of yield structure elements revealed the stability of the following signs of breeding samples: average number of beans in a node (V = 21), average number of seeds in a bean (V = 14), weight of 1000 seeds (V = 28). Selection according featured promising starting material is the most rational.

Prediction by a Hybrid of Wavelet Transform and Long-Short-Term-Memory Neural Network

Data originating from some specific fields, for in-stance tourist arrivals, may exhibit a high degree of fluctuations as well as non-linear characteristics due to time varying behaviors. This paper proposes a new hybrid method to perform prediction for such data. The proposed hybrid model of wavelet transform and long-short-term memory (LSTM) recurrent neural network (RNN) is able to capture non-linear attributes in tourist arrival time series. Firstly, data is decomposed into constitutive series through wavelet transform. The decomposition is expressed as a function of a combination of wavelet coefficients, which have different levels of resolution. Then, LSTM neural network is used to train and simulate the value at each level to find the bias vectors and weighting coefficients for the prediction value. A sliding windows model is employed to capture the time series nature of the data. An evaluation is conducted to compare the proposed model with other RNN algorithms, i.e., Elman RNN and Jordan RNN, as well as the combination of wavelet transform with each of them. The result shows that the proposed model has better performance in terms of training time than the original LSTM RNN, while the accuracy is better than the hybrid of wavelet-Elman and the hybrid of wavelet-Jordan.

Who wins the championship? Market value and team composition as predictors of success in the top European football leagues

ABSTRACTProcesses of commercialisation and globalisation have changed professional football and the composition of football teams fundamentally. Against the background of these shifting conditions we investigate to what extent the success of football teams in their national leagues is determined by: (a) the monetary value of the team expressed in its market value, (b) the inequality within the team, (c) the cultural diversity of the team, and (d) the degree of fluctuation among the team members. The empirical analysis refers to five football seasons, spanning from 2011/2012 until 2015/2016, and includes the twelve most important European football leagues. The findings demonstrate that success in national football championships is highly predictable. The market value of a team is by far the most important single predictor, whereas different features of a team’s composition – inequality, cultural diversity, and fluctuation – are less decisive. However, the market value of a team does not play the same role in all of the leagues. The lower the degree of financial inequality in a league, the lower the impact of the market value on teams’ performance.

Mosquito Species (Diptera: Culicidae) Persistence and Synchrony Across an Urban Altitudinal Gradient

Patterns of mosquito spatial persistence and temporal presence, as well as synchrony, i.e., the degree of concerted fluctuations in abundance, have been scarcely studied at finely grained spatial scales and over altitudinal gradients. Here, we present a spatial persistence, temporal presence, and synchrony analysis of four common mosquito species across the altitudinal gradient of Mt. Konpira in Nagasaki, Japan. We found that Aedes albopictus (Skuse) was more frequently found at the mountain base. In contrast, Aedes japonicus (Theobald) and Aedes flavopictus Yamada were common higher in the mountain, while Armigeres subalbatus (Coquillet) was uniformly present across the mountain, yet less frequently than the other species during the studied period. Our analysis showed that these spatial heterogeneities were associated with differences in landscape and microclimatic elements of Mt. Konpira. Temporally we found that presence across sampling locations was mainly synchronous across the four species and positively associated with rainfall and temperature. With the exception of Ae albopictus, where no significant synchrony was observed, mosquito species mainly showed flat synchrony profiles in Mt. Konpira when looking at the geographic (2-D) distance between their sampling locations. By contrast, when synchrony was studied across altitude, it was observed that Ae. flavopictus tracked the temperature synchrony pattern, decreasing its synchrony with the separation in altitude between sampling locations. Finally, our results suggest that differences in mosquito species persistence, temporal presence, and synchrony might be useful to understand the entomological risk of vector-borne disease transmission in urban landscapes.

Multiplicity fluctuation and phase transition in high-energy collision — A chaos-based study with complex network perspective

Multiplicity fluctuation provides enough information concerning the dynamics of particle production process and even signature of phase transition from hadronic to QGP phase expected in ultrarelativistic nuclear collision. Numerous analyses reported on the fluctuation pattern of pions have been studied from theoretical and phenomenological approaches. Also the fractal properties have been explored to characterize quantitative degree of fluctuation. The present work reports a study of pion fluctuation from a radically different perspective, using science of complexity. For this we have taken two different interactions — one hadron–nucleus and other nucleus–nucleus, namely [Formula: see text]-AgBr (350 GeV) and [Formula: see text]S-AgBr (200 A[Formula: see text]GeV). We have analyzed both data in the light of complex network analysis, viz. visibility graph method. The data reveal that power of the scale-freeness in visibility graph (PSVG), a quantitative parameter related to Hurst exponent, may provide information on the degree of fluctuation. Further, in a recent work, it was shown that phase transition can also be studied using the same methodology. Based on the result of the present study we further propose to use this methodology, where critical phenomena are to be assessed — even in case of pion fluctuation, for obtaining the QGP like phase transition.

The fluctuation of free amino acids in serum during acute ischemic stroke

Abstract Currently, little data exists regarding the involvement of free amino acids (AA) in the pathogenesis of ischemic stroke (IS). Thus, our objective was to study the degree of the degree of fluctuation of free amino acids level in serum during the acute phase of IS. The study consisted of eighteen patients (female/male: 10/8; age: 73.1 ± 4.1) with acute IS that was confirmed by way of computed tomography, while twelve sex and age matched individuals were assigned as control group. During the study period, the patients did not receive any supplemental amino acids therapy that could affect the obtained results. The venous blood was obtained after >3 hours fasting at two time-points; time-point 1 – at admission to the hospital; time-point 2 – on day 5 from stroke onset. The blood for control purposes was collected only once, and the blood collection at time-point 1 was done before thrombolytic treatment (nine patients). The amino acids were identified using the Amino Acids Analyser (AAA 400) by INGOS Corp., Praha, Czech Republic. Our results revealed a statistically significant increase of glutamate, cystine and methionine on day 1 of stroke, in comparison to control, whereas, proline level was decreased on day 1 of stroke – in comparison to control serum. On comparing day 5 to the initial day of IS, elevation was observed of levels of asparagine, glycine, tyrosine, arginine, threonine, valine, leucine and phenylalanine. It can be said, then, that ischemic stroke induces both essential and nonessential amino acid fluctuations. Moreover, the decrease in proline and glutamine serum level with the simultaneous increase in the concentration of branch chain amino acids, Glu and Thr suggests a violent mobilization of the body’s proteins. Thus, a decrease of Pro and a simultaneous increase of Glu serum level could be considered as a marker of acute IS.

Diagrid Systems for Structural Design of Complex-Shaped Tall Buildings

Today's architectural design trend based on the recognition of pluralism has led to multiple design directions for all building types including tall buildings. This contemporary design trend has produced many complex-shaped tall buildings, such as twisted, tilted, tapered and freeform towers. Among many different structural systems developed for tall buildings, the diagrid system, with its powerful structural rationale and distinguished aesthetic potential, is one of the most widely used systems for today's tall buildings. This paper studies structural performance of diagrid systems employed for complex-shaped tall buildings. Twisted, tilted, tapered and freeform tall buildings are designed with diagrid structures, and their structural performances are investigated. For the twisted diagrid study, the buildings are twisted up to 3 degrees per floor. In the tilted diagrid study, the angles of tilting range from 0 to 13 degrees. The impact of eccentricity is investigated for gravity as well as lateral loads in tilted towers. In the study of tapered diagrid structures, the angles of tapering range from 0 to 3 degrees. In the study of freeform diagrid structures, lateral stiffness of freeform diagrids is evaluated depending on the degree of fluctuation of free form. The freeform floor plans fluctuate from plus/minus 1.5 meter to plus/minus 4.5 meter boundaries of the original square floor plan. Parametric structural models are generated using appropriate computer programs and the models are exported to structural engineering software for design, analyses and comparative studies.

Why Do Easterners Have Lower Well-Being Than Westerners? The Role of Others’ Approval Contingencies of Self-Worth in the Cross-Cultural Differences in Subjective Well-Being

Previous studies have shown that Easterners generally perceive themselves as having lower subjective well-being compared with Westerners, and several mechanisms causing such differences have been identified. However, few studies have analyzed the causes of such differences from the perspective of the cross-cultural differences in the meanings of important life events such as whether people receive approval from others. Specifically, events regarding others’ approval might have different meanings to and influences on Easterners and Westerners. Thus, the degree of fluctuation of people’s views of self-worth in response to these events (i.e., others’ approval contingencies of self-worth [CSW]) probably differs between Easterners and Westerners. This may be a reason for cross-cultural differences in subjective well-being. We investigated two samples of undergraduate students from Taiwan and the United States to examine the mediating role of others’ approval CSW in forming cross-cultural differences in subjective well-being. The results revealed that Taiwanese participants exhibited lower subjective well-being and higher others’ approval CSW than American participants. In addition, others’ approval CSW partially mediated the cross-cultural differences in subjective well-being. Thus, one reason for lower subjective well-being among Easterners was likely that their self-esteem was more prone to larger fluctuations depending on whether they receive approval from others in everyday life.

Control over Alignment and Growth Kinetics of Si Nanowires through Surface Fluctuation of Liquid Precursor

Control over alignment and growth kinetics of vertically aligned Si nanowire (v-SiNW) arrays, which were grown using chemical vapor deposition (CVD) via a metal catalyst-assisted vapor–liquid–solid (VLS) mechanism, was demonstrated by introducing a homemade bubbler system containing a SiCl4 solution as the Si precursor. Careful control over the bubbler afforded different amounts of SiCl4 supplied to the reactor. By varying the dipping depth (Dd) and tilting angle (Ta) of the bubbler, the SiCl4 precursor concentration would fluctuate to different degrees. The different SiCl4 concentrations afforded the fine-tuning of v-SiNW array properties like alignment and growth kinetics. The degree of alignment of v-SiNWs could be increased with large amounts of SiCl4, which was caused by slight shallow depth or gentle tilting of the SiCl4 solution in the bubbler due to an increasing degree of fluctuation and fluctuation area. The ability to control alignment and growth kinetics of v-SiNW arrays could be employed in a...

Mimicking natural systems: Changes in behavior as a result of dynamic exposure to naproxen

Animals living in aquatic habitats regularly encounter anthropogenic chemical pollution. Typically, the toxicity of a chemical toxicant is determined by the median lethal concentration (LC50) through a static exposure test. However, LC50 values and static tests do not provide an accurate representation of exposure to pollutants within natural stream systems. In their native habitats, animals experience exposure as a fluctuating concentration due to turbulent mixing, temporal variations of contamination (seasonal inputs), and contaminant input type (point vs. non-point). Research has shown that turbulent environments produce exposures with a high degree of fluctuation in frequency, duration, and intensity. In order to more effectively evaluate the effects of pollutants, we created a dynamic exposure paradigm, utilizing both flow and substrate within a small mesocosm. A commonly used pharmaceutical, naproxen, was used as the toxicant and female crayfish (Orconectes virilis) as the target organism to investigate changes in fighting behavior as a result of dynamic exposure. Crayfish underwent either a 23h long static or a dynamic exposure to naproxen. Following exposure, the target crayfish and an unexposed size matched opponent underwent a 15min fight trial. These fight trials were recorded and later analyzed using a standard ethogram. Results indicate that exposure to sublethal concentrations of naproxen, in both static and flowing conditions, negatively impact aggressive behavior. Results also indicate that a dynamic exposure paradigm has a greater negative impact on behavior than a static exposure. Turbulence and habitat structure play important roles in shaping chemical exposure. Future research should incorporate features of dynamic chemical exposure in order to form a more comprehensive image of chemical exposure and predict the resulting sublethal effects from exposure. Possible techniques for assessment include utilizing flow-through experimental set-ups in tandem with behavioral or physiological endpoints as opposed to acute toxicity. Other possibilities of assessment could involve utilizing fine-scale chemical measurements of pollutants to determine the actual concentrations animals encounter during an exposure event.

Exploring the Levinthal limit in protein folding.

According to the thermodynamic hypothesis, the native state of proteins is uniquely defined by their amino acid sequence. On the other hand, according to Levinthal, the native state is just a local minimum of the free energy and a given amino acid sequence, in the same thermodynamic conditions, can assume many, very different structures that are as thermodynamically stable as the native state. This is the Levinthal limit explored in this work. Using computer simulations, we compare the interactions that stabilize the native state of four different proteins with those that stabilize three non-native states of each protein and find that the nature of the interactions is very similar for all such 16 conformers. Furthermore, an enhancement of the degree of fluctuation of the non-native conformers can be explained by an insufficient relaxation to their local free energy minimum. These results favor Levinthal's hypothesis that protein folding is a kinetic non-equilibrium process.

Uncertainty in binaural hearing linked to inherent envelope fluctuations

It was recently shown that supra-threshold changes in interaural level differences (ILDs) in 1/3-octave bands of noise were more quickly and reliably perceived when carried by high-frequency (4000 Hz) rather than low-frequency (500 Hz) noise. For fixed-octave ratio noises, however, center frequency differences are accompanied by differences in inherent envelope modulations stemming from differences in absolute bandwidth. We propose that envelope fluctuations (rather than frequency differences) are a more parsimonious explanation of response latency and certainty. In the current study we investigate the hypothesis that for noisier envelopes, there is less certainty that an ILD is a true diversion from noise perceived at center. Differences in inherent envelope modulation strength were controlled using three types of stimuli: low-noise noise (with negligible envelope fluctuations), high-noise noise, and an equal mixture of the two. Perception of ILD changes was measured using anticipatory eye movements elicited by ILD changes. Results confirm that sensitivity and response latency to ILD changes were affected by degree of envelope fluctuation. In addition, high-noise noise provoked more phantom percepts, which were nearly absent for low-noise noise. Finally, we propose a mathematical model of accumulating certainty in this task as a function of time and degree of envelope fluctuation.

Role of R292K mutation in influenza H7N9 neuraminidase toward oseltamivir susceptibility: MD and MM/PB(GB)SA study.

The H7N9 avian influenza virus is a novel re-assortment from at least four different strains of virus. Neuraminidase, which is a glycoprotein on the surface membrane, has been the target for drug treatment. However, some H7N9 strains that have been isolated from patient after drug treatment have a R292K mutation in neuraminidase. This substitution was found to facilitate drug resistance using protein- and virus- assays, in particular it gave a high resistance to the most commonly used drug, oseltamivir. The aim of this research is to understand the source of oseltamivir resistance using MD simulations and the MM/PB(GB)SA binding free energy approaches. Both methods can predict the reduced susceptibility of oseltamivir in good agreement to the IC 50 binding energy, although MM/GBSA underestimates this prediction compared to the MM/PBSA calculation. Electrostatic interaction is the main contribution for oseltamivir binding in terms of both interaction and solvation. We found that the source of the drug resistance is a decrease in the binding interaction combined with the reduction of the dehydration penalty. The smaller K292 mutated residue has a larger binding pocket cavity compared to the wild-type resulting in the loss of drug carboxylate-K292 hydrogen bonding and an increased accessibility for water molecules around the K292 mutated residue. In addition, oseltamivir does not bind well to the R292K mutant complex as shown by the high degree of fluctuation in ligand RMSD during the simulation and the change in angular distribution of bulky side chain groups.

Seasonal changes in neophobia and its consistency in rooks: the effect of novelty type and dominance position

Neophobia, or the fear of novelty, may offer benefits to animals by limiting their exposure to unknown danger, but can also impose costs by preventing the exploration of potential resources. The costs and benefits of neophobia may vary throughout the year if predation pressure, resource distribution or conspecific competition changes seasonally. Despite such variation, neophobia levels are often assumed to be temporally and individually stable. Whether or not neophobia expression changes seasonally and fluctuates equally for all individuals is crucial to understanding the drivers, consequences and plasticity of novelty avoidance. We investigated seasonal differences and individual consistency in the motivation and novelty responses of a captive group of rooks, Corvus frugilegus, a seasonally breeding, colonial species of corvid that is known for being neophobic. We tested the group around novel objects and novel people to determine whether responses generalized across novelty types, and considered whether differences in dominance could influence the social risk of approaching unknown stimuli. We found that the group's level of object neophobia was stable year-round, but individuals were not consistent between seasons, despite being consistent within seasons. In contrast, the group's avoidance of novel people decreased during the breeding season, and individuals were consistent year-round. Additionally, although subordinate birds were more likely to challenge dominants during the breeding season, this social risk taking did not translate to greater novelty approach. Since seasonal variation and individual consistency varied differently towards each novelty type, responses towards novel objects and people seem to be governed by different mechanisms. Such a degree of fluctuation has consequences for other individually consistent behaviours often measured within the nonhuman personality literature.

Revealing proton shape fluctuations with incoherent diffraction at high energy

The differential cross section of exclusive diffractive vector meson production in electron proton collisions carries important information on the geometric structure of the proton. More specifically, the coherent cross section as a function of the transferred transverse momentum is sensitive to the size of the proton, while the incoherent, or proton dissociative cross section is sensitive to fluctuations of the gluon distribution in coordinate space. We show that at high energies the experimentally measured coherent and incoherent cross sections for the production of $J/\Psi$ mesons are very well reproduced within the color glass condensate framework when strong geometric fluctuations of the gluon distribution in the proton are included. For $\rho$ meson production we also find reasonable agreement. We study in detail the dependence of our results on various model parameters, including the average proton shape, analyze the effect of saturation scale and color charge fluctuations and constrain the degree of geometric fluctuations.

Asymmetric information, heterogeneous prior beliefs, and public information

We present a dynamic trading model that assumes traders face not only asymmetric information but also heterogeneous prior beliefs under a mandatory public disclosure requirement. We find that the overconfident insider chooses to trade in an alternating way in the sense that he underreacts to his information in the first period, overreacts in the second, underreacts in the third, overreacts in the fourth, and so on. The irrational insider trades in this way not only to dissimulate his information but also to equalize his profits across periods. The coexistence of public disclosure and heterogeneous prior beliefs leads to large and fluctuant trading volumes, and the more underconfident the insider is, the greater is the degree of fluctuation. Also, contrarian and momentum trading arise endogenously as a result of the insider's irrationality and the public disclosure. Finally, we present the economic explanation for our model by giving the Granger causality relationship between the amended price series and the insider's trading order series.

Correlation of quality of life and significant seasonal fluctuations blood pressure in the morning hours in patients with arterial hypertension

The aim of the present study was to identify the relationship between the quality of life of patients with arterial hypertension (AH) and the degree of seasonal fluctuations in blood pressure (BP) in the morning hours in these patients, as well as to trace the seasonal dynamics of the average morning levels of blood pressure in this group of patients. We analyzed the database of various studies carried out in our center between 1996 and 2011, which contained data 953 ambulatory BP monitoring (ABPM). ABPM data were analyzed in patients with hypertension, without serious comorbidities, who conducted blood pressure monitoring on a weekly background of antihypertensive therapy. Results of the study. It has been shown that diastolic blood pressure (DBP) in the morning (at) was the highest in winter (83.5±13.7 mm Hg), at the lowest - in summer (80.2±11.5 mm Hg), which was typical of the seasonal dynamics of blood pressure generally. The systolic blood pressure (SBP) was characterized by the highest level of the fall in blood pressure (133.3±18.7 mm Hg). The smallest - in the winter (131,8 B±17,6 mm Hg). The differences between the seasons are not reliable. When analyzing the results by using generalized linear models (Generalized Linear Models) and calculating the Fisher's exact test (F) The following patterns were identified. Intensity of seasonal increases in blood pressure (compared with the average level of blood pressure) was inversely related to the level of social support of friends, colleagues, relatives (Scale VI Quality of Life Questionnaire) (for F DBP was 4.29 (p