Miracle-dz/UniFAR-FTUs huggingface dataset:
NORMAL VAGINAL MICROBIOTA: PATIENT’S SUBJECTIVE EVALUATION, PHYSICAL EXAMINATION AND LABORATORY TESTS

Критерии нормы для микробиоценоза влагалища здоровой женщины остаются предметом для дальнейшего изучения. Субъективный характер формирования группы «здоровых женщин» при проведении исследований не позволяет считать получаемые результаты однозначными. В данной работе мы сравнивали частоту встречаемости нормоценозов различных типов и дисбиоза влагалища у женщин, поделенных на группы в зависимости от характера их обследования (мнение женщины, осмотр врача, микроскопическое исследование). Были обследованы 234 женщины репродуктивного возраста из г. Екатеринбурга (средний возраст — 30,3 ± 6,6 лет). Оценку микробиоценоза и определение видового состава лактобацилл (L. crispatus, L. iners, L. jensenii, L. gasseri, L. johnsonii, L. vaginalis) провели методом полимеразной цепной реакции с детекцией результатов в режиме «реального времени» с использованием тест-системы «Фемофлор» («НПО ДНК-Технология», Россия) и наборов реагентов для научного применения той же компании-производителя. У каждой пятой женщины репродуктивного возраста, считающей себя здоровой, был выявлен дисбиоз. Нормоценоз в этой группе чаще всего характеризовался преобладанием L. iners, а вариант нормоценоза с преобладанием L. crispatus определяли только у каждой третьей женщины. В то же время вариант нормоценоза с преобладанием L. crispatus был обнаружен у 46,2 % женщин, которые были отнесены к группе клинически здоровых на основании опроса, осмотра врача и микроскопического исследования. Это говорит о том, что клиническая оценка состояния нижних отделов гениталий без учета данных микроскопии носит субъективный характер и в ряде случаев не позволяет выявить у пациентки дисбиоз влагалища.
Castor bean cake detoxified with calcium hydroxide in diets for pigs at growing and finishing phases

Abstract: The present study was aimed to evaluate the use of increasing levels of castor bean cake detoxified with calcium hydroxide in diets for pigs at growing and finishing phases on performance, diet digestibility, weight of digestive organs, carcass traits, and economic evaluation. A total of 40 barrows with 44.59 ± 5.16 kg initial weight were fed diets with 0%, 7%, 14%, and 21% detoxified castor bean cake. Increasing levels of detoxified castor bean cake in diets resulted in linear worsening in the average daily gain of the pigs. Dry matter, crude protein, and gross energy digestibilities were adversely affected by the levels of detoxified castor bean cake. A linear decrease in loin eye area and ham yield was detected depending on detoxified castor bean cake inclusion levels. Although the detoxified castor bean cake had no effect on the assessed economic variables, its use in diets for growing and finishing pigs is not recommended.
The relative effectiveness of Monetary and Fiscal Policies on growth: what does long-run SVAR model tell us?

This paper studies empirically the relative effectiveness of monetary and fiscal policies on growth. Unlike many previous papers which have focused, to a large extent, on the effect of monetary or fiscal policies separately, this paper considers the comparative efficacy of the two policies on growth by applying the Structural Vector Autoregression (SVAR) model to the quarterly data for Turkey over the period 2001:Q1-2014:Q2. The empirical findings of this paper show that both monetary and fiscal policies do have significant effects on growth. However, monetary policy is more effective than fiscal policy in stimulating growth. More specifically, interest rate ―a monetary policy variable― is the most potent instrument in affecting growth. Then budget deficit ―a fiscal policy variable― becomes the second important variable after interest rate. These findings suggest that although the relative effectiveness in boosting growth is different, both policies significantly affect growth, suggesting that they should be used jointly but in an efficient manner.
Youth Unemployment in Italy and Russia: Aggregate Trends and the Role of Individual Determinants

Youth unemployment is a serious problem in many European countries. In the first part of the paper, we consider the aggregate trends in some EU countries and in Russia; we especially investigate the recent period after the global crisis and the Great Recession. We then consider the different types of determinants, including macroeconomic conditions, structural determinants, labour market institutions and regulations. However, the focus of our analysis is on the role played by individual and family determinants such as age, gender, education level, marital status, health, household income, housing conditions. The econometric part of the paper makes use of Eurostat micro-level data EU-SILC for Italy and RLMS-HSE data set for Russia. We use a Heckman probit model to estimate the unemployment risk of young people during the period 2004-2011. Our main research question is to explain the probability of being unemployed for young people in terms of their personal characteristics and compare these outcomes with results for the same model for adults. We take also into account some macro variables, such as living in urban areas or the regional unemployment rate. The results are of interest, since the two countries have quite different labour market institutions, besides having different levels of youth unemployment. However, most of the explanatory variables act in the same direction in both countries and it is interesting to compare the relative size of such effects, which we measure through the average partial effects.
Medium-range to seasonal precursor conditions to higher latitude landfalls of extratropically transitioning hurricanes

The extratropical transition (ET) of tropical cyclones (TCs) brings about multiple structural changes leading to a shift of the impacts of a given cyclone, such as that manifest by an expanded region of gale-force winds, the potential for trapped fetch waves due to the increase translation speed of the cyclone, and asymmetric precipitation and wind field distributions. A full overview of the structural changes during ET may be found in the composite paper of Jones et al. (2003). While there have been many works aimed at furthering the understanding of the impacts of a single ET event as well as toward the predictability of postET evolution, such as those referenced in Jones et al. (2003), little attention has been focused upon the medium-range to seasonal predictability of ET events. Previous research by Klotzbach and Gray (2004), among others, has identified climate patterns favorable for TC formation within the Atlantic basin to a reasonable degree of accuracy. Research by Hart and Evans (2001) has shown that the variability in ET event frequency cannot solely be explained by the variability in TC event frequency; in fact, TC frequency explains only about half of the variability in ET frequency. That correlations exist within climatic patterns to TC frequency, however, suggests that such correlations may exist leading to increased predictability of ET frequency within the Atlantic basin. This work attempts to test for such correlations both on seasonal time scales (e.g. January-July of a given tropical season) as well as on shorter time scales (less than two months) using climatic index correlations, genesis locations and storm tracks, and significant synoptic pattern features, respectively. Such comparisons are also performed with regional composites of ET activity within the north Atlantic basin to isolate the features responsible for a particular track evolution in the higher latitudes. Results from such analyses suggest that robust signals appear on shorter and longer time scales toward understanding the variability in ET frequency and track evolution, particularly as functions of climate indices reflecting enhanced trough activity in the midlatitudes and/or an enhanced potential for tropical cyclone formation within the main development region (Goldenberg and Shapiro 1996) of the Atlantic basin.
Reconstruction of radial catalyst concentration distribution in an experimental type FCC riser

A gamma ray tomographic reconstruction of catalyst concentration distribution in laboratory experiments is presented. The images are generated by gamma transition measurements in an experimental riser simulating fl ow experiments. The manual scanner is adequate for mapping radial catalyst concentration distribution under spatial resolution of 0.002 m and density resolution of 10 kg/m 3 .
ACCOUNTABILITY AND INCENTIVES

I study a model of electoral competition where both economic policy and politicians' effort affect voters' payoff. If voters cannot distinguish the effect of policy and effort, politicians acquire an implicit incentive to exert effort. This incentive can last through every period in an infinitely repeated game, provided there is uncertainty in every period regarding the policy's effectiveness. As uncertainty decreases, set of effort-exerting equilibria shrinks. Though the electorate manages to hold the incumbent politician accountable on effort dimension, it may not eliminate inefficient persistence in policy choice even when cost of changing policy is negligible.
On Relations between One-Dimensional Quantum and Two-Dimensional Classical Spin Systems

We exploit mappings between quantum and classical systems in order to obtain a class of two-dimensional classical systems characterised by long-range interactions and with critical properties equivalent to those of the class of one-dimensional quantum systems treated by the authors in a previous publication. In particular, we use three approaches: the Trotter-Suzuki mapping, the method of coherent states, and a calculation based on commuting the quantum Hamiltonian with the transfer matrix of a classical system. This enables us to establish universality of certain critical phenomena by extension from the results in the companion paper for the classical systems identified.
Extraction of Root Words using Morphological Analyzer for Devanagari Script

In India, more than 300 million people use Devanagari script for documentation. In Devanagari script, Marathi and Hindi are mainly used as primary language of Maharashtra state and national language of India respectively. As compared with English script, Devanagari script is reach of morphemes. Thus the lemmatization of Devanagari script is quite complex than that of English script. There is lack of resources for Devanagari script such as WordNet, ontology representation, parsing the keywords and their part of speech. Thus the overall task of information retrieval becomes complex and time consuming. Devanagari script document always carries suffixes which may cause problem in accurate information retrieval. We propose a method of extracting root words from Devanagari script document which can be used for information retrieval, text summarization, text categorization, ontology building etc. An attempt is made to design the Morphological Analyzer for Devanagari script. We have designed CORPUS containing more than 3000 possible stop words and suffixes for Marathi language. Morphological Analyzer can acts as a preliminary stage for developing any information retrieval application in Devanagari script. We have conducted the experiments on randomly selected Marathi documents and we found the accuracy of designed morphological analyzer is up to 96%.
Exploration of Micro-Doppler Signatures Associated with Humans and Dogs using UWB Radar

The work in this thesis has been a part of the task of using a radar to separate between humans and animals in a alarm and surveillance context. For the radar to be able to separate between humans and animals it would use a classifier that rely on features extracted from the radar data. The thesis considers two types of targets; either a human or a dog, and by using micro-Doppler signature, determines some fundamental features which can be the used to classify them. The micro-Doppler signature is the superposition of frequency modulations represented in the joint time and Doppler frequency domain, where the modulations are caused by di erent moving components associated with the desired target. The micro-Doppler signature has been widely used for radar classification. The thesis has succeeded in developing algorithms and a system to extract microDoppler signatures from targets. Signatures from both humans and dogs has been produced and some simple features extracted from them. The major problem with the signatures created is that the radars pulse repetition frequency is a limiting factor and causes aliasing in the Doppler spectrum that corrupts the signatures. This has limited the study of targets to slow moving humans and dogs. Three important features for classification was extracted from the micro-Doppler signature by calculating the gait-Doppler map. They are, i) the average Doppler frequency fav(or average radial velocity vav), ii) fundamental gait frequency fg and iii) the stride length Ls which is derived from the two former features. The result points towards the possibility to separate humans and dogs using these parameters. The reason is that since the dogs limbs are shorter than a human it also has shorter stride length at a specific speed. However, this may not be su cient for decisions to be made in a robust alarm system, since it can be fooled by a smart intruder that could for example take unnatural short steps and simulate a dogs combination of the aforementioned features. In addition the determination of features are sensitive to large changes in radial speed. This can be mitigated by preprossing before the calculation of the features. The conclusion is, that based on substantial measurements of signatures ( approx. 50 series) and calculations of the three features one has arrived at a fairly robust method to distinguish between the two type of target in this thesis.
PSYCHOLOGY OF WEB DESIGN; ATTRACTIVE VISUAL CUES FOR WEB USERS IN SRI LANKA

The main goal of the study was to enhance the attractiveness of Sri Lankan web sites on the basis of Psychological aspects. It helps to bridge the gap between user and the web site through feedback given for web designers to create web sites, which cater the interests of web users in Sri Lanka through developing user satisfaction. The study was done using qualitative research methodology. The data was collected through a semi-structured interview, which was refined from a pilot study. Six participants were selected that included three males and three females, between the ages of 20 - 40. The sample was selected from the Faculty of Arts, especially from the Information Technology Center, University of Peradeniya. The current research investigated all the visual cues commonly used in web sites through psychological aspects. The results indicated 16 themes and some themes contained sub themes. The themes have revealed how to design and allocate visual cues on web sites. The first four themes covered overall aspect of web designing, those were; user friendly features, attractive features, features in visible area and methods of allocating information. The rest expressed visual cues separately, namely; the main menu, the search bar, the scroll bar, marquee tool/text, modelers and stars on web, hyperlinks, symbols, animations, images, text, colors and white space. This research can be extended further, by the analysis of gender differences in attractive visual cues or auditory cues in web sites and psychological effects on web sites for youth in Sri Lankan context.
Financing a loss. Accounting and Finance Research

When companies have a net loss accompanied by negative operating cash flows, they must decide how to handle the financing deficit, or, stated differently, they must decide how to finance the loss. By examining a large sample of firms with net losses, we document how companies respond to the financing shock that occurs with negative cash flow. For companies with a one-year loss, current assets decrease and current liabilities increase. While we observe that leverage ratios increase during a loss year, this increase has more to do with decreasing book equity than an increase in long-term debt. However, when the loss persists into a second year, companies make more fundamental changes, often downsizing by decreasing fixed assets and by issuing longer term debt. JEL classification codes: G30, G32, G35.
The modulating action of silver nanoparticles on collagen deposition in producing scarless wound healing

INTRODUCTION: Healing of burn wound is a complex process that is often addressed to problems of undesired cosmesis and mechanical property in the regenerated skin. Silver nanoparticles (AgNPs) are known to be bactericidal. Its application to wound results in accelerated healing and excellent cosmesis with regeneration of hair follicles. However, the skin’s mechanical property which indicates the functionality of skin is yet to be understood. Since it is known that collagen is the major source of strength and elasticity in skin, the aim of this study was to study the effect of AgNPs on collagen formation and deposition at complete wound healing as it was hypothesized that AgNPs could improve mechanical property of the repaired skin due to its ability to modulate collagen deposition. Tensile test was performed to study the skin modulus, with collagen staining and SEM imaging to reveal the collagen expression and characteristics.
The representation of spacetime through steep time functions

In a recent work I showed that the family of smooth steep time functions can be used to recover the order, the topology and the (Lorentz-Finsler) distance of spacetime. In this work I present the main ideas entering the proof of the (smooth) distance formula, particularly the product trick which converts metric statements into causal ones. The paper ends with a second proof of the distance formula valid for globally hyperbolic Lorentzian spacetimes.
Feature grouping-based multiple fuzzy classifier system for fusion of hyperspectral and LIDAR data

Abstract Interest in the joint use of different data from multiple sensors has been increased for classification applications. This is because the fusion of different information can produce a better understanding of the observed site. In this field of study, the fusion of light detection and ranging (LIDAR) and passive optical remote sensing data for classification of land cover has attracted much attention. This paper addressed the use of a combination of hyperspectral (HS) and LIDAR data for land cover classification. HS images provide a detailed description of the spectral signatures of classes, whereas LIDAR data give detailed information about the height but no information for the spectral signatures. This paper presents a multiple fuzzy classifier system for fusion of HS and LIDAR data. The system is based on the fuzzy K-nearest neighbor (KNN) classification of two data sets after application of feature grouping on them. Then a fuzzy decision fusion method is applied to fuse the results of fuzzy KNN classifiers. An experiment was carried out on the classification of HS and LIDAR data from Houston, USA. The proposed fuzzy classifier ensemble system for HS and LIDAR data provide interesting conclusions on the effectiveness and potentials of the joint use of these two data. Fuzzy classifier fusion on these two data sets improves the classification results when compared with independent single fuzzy classifiers on each data set. The fuzzy proposed method represented the best accuracy with a gain in overall accuracy of 93%.
Simulation of Interstitial Nanoparticle Flow for Development of Tumor-ona-Chip Device

A simulation was performed to investigate the flow behaviors of drug delivery nanoparticles in a tumor-on-a-chip microfluidic device, which mimics a tumor cell having endothelial cells with micro-sized gaps. The Navier-Stokes equation and the convectiondiffusion equation were used to model the flow field and the time-dependent particle distribution in the device, respectively. We investigated the effect of the drug delivery nanoparticle size on the particle transport from microchannel (mimicking blood stream) into the tumor chamber (tumor cell) through porous arrays (gaps in endothelial cells). The amount of particles transferred into the tumor was measured to estimate the flux of nanoparticles through the porous arrays. The results can give important information of the nanoparticle size effects in drug delivery systems, which is also able to improve the efficacy of therapy treatments.
A STATISTICAL CLASSIFICATION STUDY OF COUNTRIES’ HUMAN DEVELOPMENT LEVEL BY DISCRIMINANT ANALYSIS

Normal 0 21 The classification done by Human Development Index comes into prominence through countries, which take into consideration the level of development instead of economic growth. The United Nations Development Programme has been classifying countries by using this index since 1990. The aims of this study are to determine the importance of the variables used for preparing Human Development Index and by developing the discriminant function, providing classification with fewer variables for the future. In this analysis, the classification of the Human Development Index by United Nations Development Programme (UNDP) is examined and necessary transformations for ensuring a discriminant analysis of the examined data are made. The obtained variables are then used in a discriminant analysis. One discriminant function is constructed since only very developed and mid-developed country-groups are analyzed. As a result, a function with a high classification success of 92.5% is obtained . Interpretation of the coefficients of variables involved in the function and the effect of variables on classification have been analyzed.
The personality of meaning in life: Associations between dimensions of life meaning and the Big Five

The goal of the current study was to identify aspects of personality that are associated with different ways in which people find meaning in life. This was achieved using constrained principal component analysis (CPCA) on data from 322 university students, who completed the Sources of Meaning and Meaning in Life questionnaire and the Big Five Aspects Scale. CPCA demonstrated that personality traits and life meaning are associated, but not redundant, with one another. Specifically, respondents with high scores on lower-level aspects of Openness to Experience tended to derive meaning from questioning, learning and challenging tradition, whereas those with high scores on aspects of Conscientiousness and Extraversion tended to derive meaning from success at work, health, and family. Results suggest that personality traits are associated with variations in the domains used to derive meaning in life, and demonstrate the utility of CPCA as an innovative statistical technique for the study of individual differences.