scholarly journals Optimization of a cytologic and bacteriological assessment of a pathological secret at chronic duktoforit at women with a mastopatiya

2012 ◽  
Vol 61 (6) ◽  
pp. 25-29
Author(s):  
Valentina Andreyevna Guryeva ◽  
Ekaterina Suleymanovna Varnakova

The given paper describes high efficiency of detecting chronic inflammation of the mammary ducts (96.2 %) in women with mastopathy by enlargement of cellular composition by means of optimization for the technique of intraductal secretion sampling with the help of mammary duct lavage in comparison with exfoliative method (touch smear) (24.8 %, p < 0.001). The technique of sampling with the help of mammary duct lavage increases detectability of pathogenic flora (82.7 %, p < 0.001) by 2.6 times in comparison with exfoliative method (31.6 %, p < 0.001). It has been established that preliminary sanitation of secerning ducts of a mammary gland prior to ductography increases by 10 times information value for detecting distorting inflammation of the mammary ducts (24.7 %) in comparison with contrast mammography without preliminary ductal lavage (2.5 %, p < 0.001).

Author(s):  
А.М. САЖНЕВ ◽  
Л.Г. РОГУЛИНА

Приводятся результаты моделирования сверхскоростного буфера тактовых сигналов, выполненного на базе арсенид-галлиевых n-канальных транзисторов в среде OrCAD и полностью отвечающего следующим требованиям: высокие технические характеристики, малые размеры, высокая частота и КПД, гибкость применения. Приведенные поведенческие модели допускают использование любой программной среды по схемотехническому моделированию. The results of simulation of an ultra-high-speed clock signal buffer based on gallium arsenide n-channel transistors in OrCAD are presented, which fully meets the following requirements: high technical characteristics, application flexibility, low cost, small size, high frequency, and high efficiency. The given behavioral models allow the use of any software environment for circuit modeling.


2019 ◽  
Vol 33 (25) ◽  
pp. 1950305 ◽  
Author(s):  
Wenhua Zhu ◽  
Bo Wang ◽  
Chenhao Gao ◽  
Kunhua Wen ◽  
Ziming Meng ◽  
...  

This paper designed a novel three-output reflective packaged grating. The optimized parameters such as the period and depth of the high-efficiency three-output grating with an incident wavelength of 1550 nm can be calculated by rigorous coupled-wave analysis (RCWA). According to the optimized result, the grating can diffract the incident light energy into three orders with an efficiency of nearly 33% under the premise of second Bragg angle incidence and the given duty ratio of 0.5. The diffraction efficiency of the packaged grating is improved compared to the surface-relief three-output grating under second Bragg angle incidence, especially for TE-polarized light.


Crystals ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 296 ◽  
Author(s):  
Chia-Hua Huang ◽  
Wen-Jie Chuang ◽  
Chun-Ping Lin ◽  
Yueh-Lin Jan ◽  
Yu-Chiu Shih

The two-step process including the deposition of the metal precursors followed by heating the metal precursors in a vacuum environment of Se overpressure was employed for the preparation of Cu(In,Ga)Se2 (CIGS) films. The CIGS films selenized at the relatively high Se flow rate of 25 Å/s exhibited improved surface morphologies. The correlations among the two-step process parameters, film properties, and cell performance were studied. With the given selenization conditions, the efficiency of 12.5% for the fabricated CIGS solar cells was achieved. The features of co-evaporation processes including the single-stage, bi-layer, and three-stage process were discussed. The characteristics of the co-evaporated CIGS solar cells were presented. Not only the surface morphologies but also the grading bandgap structures were crucial to the improvement of the open-circuit voltage of the CIGS solar cells. Efficiencies of over 17% for the co-evaporated CIGS solar cells have been achieved. Furthermore, the critical factors and the mechanisms governing the performance of the CIGS solar cells were addressed.


2020 ◽  
Vol 19 (4) ◽  
pp. 803-828
Author(s):  
Ivan Stepanyan ◽  
Andrey Khomich

The given work describes a technology of construction of neural network system of artificial intellect (AI) at a junction of declarative programming and machine training on the basis of modelling of cortical columns. Evolutionary mechanisms, using available material and relatively simple phenomena, have created complex intelligent systems. From this, the authors conclude that AI should also be based on simple but scalable and biofeasible algorithms, in which the stochastic dynamics of cortical neural modules allow to find solutions to of complex problems quickly and efficiently.. Purpose: Algorithmic formalization at the level of replicative neural network complexes - neocortex columns of the brain. Methods: The basic AI module is presented as a specialization and formalization of the concept "Chinese room" introduced by John Earle. The results of experiments on forecasting binary sequences are presented. The computer simulation experiments have shown high efficiency in implementing the proposed algorithms. At the same time, instead of using for each task a carefully selected and adapted separate method with partially equivalent restatement of tasks, the standard unified approach and unified algorithm parameters were used. It is concluded that the results of the experiments show the possibility of effective applied solutions based on the proposed technology. Practical value: the presented technology allows creating self-learning and planning systems.


2018 ◽  
Vol 50 (12) ◽  
pp. 1059-1070 ◽  
Author(s):  
A. A. Cheng ◽  
W. Li ◽  
L. L. Hernandez

Maternal consumption of a high-fat diet (HFD) during pregnancy has established adverse effects on the developing neonate. In this study, we aimed to investigate the effect of an HFD on the murine mammary gland during midlactation. Female C57BL/6J mice were placed on either a low-fat diet (LFD/10% fat) or HFD (60% fat) from 3 wk of age through peak lactation (lactation day 11/L11). After 4 wk of consuming either the LFD or HFD, female mice were bred. There were no significant differences in milk yield between treatment groups, which was measured from L1 to L9. On L10, mice were subjected to an overnight fast and then euthanized on the morning of L11. Total RNA was isolated from inguinal mammary glands for whole transcriptome sequencing. We found 628 genes that were differentially expressed between the treatment groups. Notably, HFD feeding resulted in expression alterations of genes involved in collagen and cytoplasmic components. Additionally, genes related to inflammatory and immune responses were also impacted. Differential expression in gene transcript isoforms between the treatment groups was detected in three genes related to mammary duct development. This study sheds light as to how an HFD may affect the mammary gland transcriptome during midlactation.


2021 ◽  
Vol 43 (2) ◽  
pp. 14-27
Author(s):  
A.O. Verpakhovska ◽  
G.D. Lesnoy ◽  
A.I. Polunin

In present-day seismic exploration the quality of the observed wave field that guarantees obtaining the most exact and complete information on the structure of the studied area plays an important role. Therefore much attention is paid to elaboration of procedures for elimination of different noises and distortions present in the registered data. They include correction of statics or calculation and maintenance of static adjustments with taking into account the influence of small velocities zone (SVZ) and locality relief at each station of reception and explosion along the profile or observation area to the form of hodograph. A procedure of automatic finding of residual statistic corrections based on usage of seismograms of equal distances and first wave arrivals without conducting their correlations that gives a possibility to exclude the effect of operator mistakes to the result has been considered. A theory has been proposed with algorithm consisting of putting in the observed wave fields, assortment of paths, finding temporal shifts by equidistant paths and computation of correcting adjustments for all the sources and receivers and the programming realization of finding the residual statistic corrections as a new interactive program corst3D, aimed at increasing the level of studies of structure of geological medium of different complexity by the data of both 2D and 3D seismic exploration. Effectiveness of the given procedure at the real data of seismic exploration for improvement of their quality and as a result for rising information value of their processing and interpretation has been shown together with colleagues of «GEOUNIT» company.


2021 ◽  
Vol XXX (3-4) ◽  
pp. 22-25
Author(s):  
Т. Е. Belousova ◽  
F. G. Alekperov ◽  
V. N. Shvalev

Study of biorhythmostimulation efficiency in complex treatment of patients with initial forms of brain blood supply insufficiency was carried out. The obtained results are indicative of high efficiency of the given method of psychoemotional condition of patients. True reliable normalisation of arterial pressure, brain vascular tension, vegetative nervous system, cerebral cortex electrical activity took place. Biorhythmostimulatuion is a highly effective and pathogenically substantiated method of psychoemotional condition correction and can be widely used with medical purposes for patients with initial forms of brain blood supply insufficiency.


2017 ◽  
Author(s):  
Okko Räsänen ◽  
Sofoklis Kakouros ◽  
Melanie Soderstrom

The exaggerated intonation and special rhythmic properties of infant-directed speech (IDS) have been hypothesized to attract infant’s attention to the speech stream. However, there has been little work actually connecting the properties of IDS to models of attentional processing or perceptual learning. A number of such attention models suggest that surprising or novel perceptual inputs attract attention, where novelty can be operationalized as the statistical (un)predictability of the stimulus in the given context. Since prosodic patterns such as F0 contours are accessible to young infants who are also known to be adept statistical learners, the present paper investigates a hypothesis that F0 contours in IDS are less predictable than those in adult-directed speech (ADS), given previous exposure to both speaking styles, thereby potentially tapping into basic attentional mechanisms of the listeners in a similar manner that relative probabilities of other linguistic patterns are known to modulate attentional processing in infants and adults. Computational modeling analyses with naturalistic IDS and ADS speech from matched speakers and contexts show that IDS intonation has lower overall temporal predictability even when the F0 contours of both speaking styles are normalized to have equal means and variances. A closer analysis reveals that there is a tendency of IDS intonation to be less predictable at the end of short utterances whereas ADS exhibits more stable average predictability patterns across the full extent of the utterances. The difference between IDS and ADS persists even when the proportion of IDS and ADS exposure is varied substantially, simulating different relative amounts of IDS heard in different family and cultural environments. Exposure to IDS is also found to be more efficient for predicting ADS pitch contours in new utterances than exposure to the equal amount of ADS speech, indicating that the more variable prosodic contours of IDS also generalize to ADS, and may therefore enhance prosodic learning in infancy. Overall, the study suggests that one reason behind infant preference for IDS could be its higher information value at the prosodic level, as measured by the amount of surprisal in the F0 contours, providing the first formal link between the properties of IDS and the models of attentional processing and statistical learning in the brain. However, this finding does not rule out the possibility that other differences between the IDS and ADS also play a role.


2021 ◽  
Vol 11 (4) ◽  
pp. 5-20
Author(s):  
L.S. Kuravsky ◽  
D.A. Pominov ◽  
G.A. Yuryev ◽  
N.E. Yuryeva ◽  
M.A. Safronova ◽  
...  

Presented is a mathematical model of the self-learning adaptive trainer intended for adaptive learning and providing task selection. The approach in question is an alternative to the adaptive technologies based on the Item Response Theory. Possibility to take into account temporal dynamics of solution ability as well as smaller number of tasks that must be performed by a subject to provide the given results are among the features of the methods in use. To assess the effectiveness of the adaptive trainer concept under consideration, its web-implementation intended for training school students to solve mathematical tasks covered by the school curriculum was employed. The analysis performed revealed both high efficiency of the adaptive trainer (the mean test rating has increased 1.54 times owing to its use) and proven statistically significant influences of the adaptive training factor on the observed mathematical test results.


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