We have studied sedimentary basins in the Eastern Arctic Seas using a specialized step-\nby-step technique of paleotectonic and geodynamic analyses. The initial steps of the workflow\ninvolve analyzing present-day structural geometries of the main unconformities to define key\ntectonic stages in the evolution of the sedimentary cover. Specific aspects of vertical movement\nduring each stage are also examined. This is followed by the analysis of thickness maps of\nsedimentary strata between the main unconformities, and the determination of basin boundaries\nand areas of persistent downwarping. Next, we calculate and analyze sedimentation rates at each\nkey stage of evolution. Final steps involve examining paleogeographic environments, identifying\nstructural-formational complexes, and performing geodynamic zonation of the study area.\nPaleotectonic and geodynamic studies conducted as part of basin analysis have enabled us to\ndetect depocenters at each structural level, trace their migration amid the territory\'s geodynamic\nevolution, and estimate the rates at which sedimentary material has accumulated. The identified\nsedimentary basins have undergone their own evolution against the background of major tectonic\nevents that have taken place in the region. Specific aspects of this evolution are expectedly\nobserved in the internal structure of the basins.

This article was aimed to analyze the influence of seminal/iconic Cultural tourism attraction Eiffel towers and the tourism industry in Paris. In order to collect data, the questionnaire had been used. These questioners were distributed between 134 members at the Eiffel tower councils(touristst who has jouney around 1km around Eiffel tower). In order to analyze data and concluding results, SPSS used and then Pearson correlation used. Also, our research was based on the structural equation model. The result indicated that there was a direct and significant relationship between Overall trait has impact on Cultural tourism attraction of Eiffel tower (R=0.69) and ownership has an impact on Cultural tourism attraction of Eiffel tower (R=0.55), and Admission has an impact on Cultural tourism attraction of Eiffel tower (R=0.70) and Visitor market has an impact on Cultural tourism attraction of Eiffel tower (R=0.75) and Cultural orientation has an impact on Cultural tourism attraction of Eiffel tower (R=0.71) and interpretation has impact on Cultural tourism attraction of Eiffel tower (R=0.65) and Experience & Visitor Involvement has to impact on Cultural tourism attraction of Eiffel tower (R=0.81).

This research aimed to examine the influence of event quality (EQ), tourist satisfaction (TS), and place attachment (PA) on behavioral intentions (BI) at a sport event. This research is also investigating the mediating effect of tourist satisfaction and place attachment on the paths from event quality to behavioral intentions. Data were collected from 390 tourists in Bahawalpur division, Pakistan, and examined using a structural equation modeling (SEM) approach. Results indicate positive associations among event quality (EQ), tourist satisfaction (TS), place attachment (PA), and behavioral intentions (BI). Event quality is positively linked with behavioral intentions. Satisfaction of tourist partially mediates the association between event quality and behavioral intentions. This research also revealed the place attachment partially mediates the association amid event quality and behavioral intentions.

The current study is based on the evaluation of physicochemical, antioxidant properties and value addition of microwave stabilized rice bran into a fiber-rich food product i.e. bread. During the formulation of the bread, 5-25% of rice bran was added. The proximate composition of the composite bread changed significantly with increase up of bran supplementation. The incorporation of rice bran gave significant changes towards the bread volume and texture attributes, where the bread become denser and harder in texture with increased amount of bran. The increasing bran levels darkened the product as shown by decrease in lightness (L*) and whiteness whereas other color attributes, dietary fiber content and antioxidant activity increased significantly. Thus supplementation of rice bran up to 15% level would improve the nutritional quality of bread without adversely affecting the sensory parameters. Compared to traditional bread the rice bran supplemented bread has high nutritional value which is important for human diet in terms of amino acids and dietary fiber. However, besides providing the health benefits the supplementation of rice bran also reduces the loss of processing byproducts which could be a great deal in food industry. In particular, the rice bran has high antioxidant properties and aminobutyric acid as compared to wheat flour. To enrich its health benefits in to bread can be a promising way to utilize it.

In this paper, automatic detection and classification of epileptic seizure by utilizing radial basis function and time frequency analysis is discussed. At starting level, the EEG data are given as input to the hidden layer neurons of radial basis function neural network. The statistical features such as mean, variance, standard deviation and root mean square are computed from the outputs of these neurons. The time frequency analysis of the EEG signal is made using the spectrogram and spectral features are calculated from it. These features together undergo a proposed feature selection process. The reduced feature set is then given as input to four classifiers namely Support Vector Machine, K-Nearest Neighbour, Naive Bayes and Random forest.The classification involves ten-fold cross validation for unbiased estimation. This work utilized the dataset from Bonn University which includes subsets that contain EEG recordings from seizure patients and normal persons. The classification process includes three binary classifications and a multiclass classification. Initially the normal and seizure recordings are classified, where the Random forest classifier achieves 100% in accuracy, sensitivity and specificity. Then the seizure and the seizure free recordings obtained from the opposite hemisphere of brain are classified. For this case the support vector machine classifier gains the highest performance with 98.03% accuracy. Further, seizure and seizure free recordings from epileptogenic zone are classified. Here random forest classifier performs better with 95.44% accuracy. Finally the entire dataset is tested in 5 class classification and random forest outperforms with 92.29% accuracy.

The climate change and global warming due to various anthropogenic and natural factors disturbs the ecosystem structure and functions. The unstoppable emissions of GHGs (greenhouse gases) has resulted alteration in vegetations types, compositions that affects overall biodiversity and related ecosystem services. Arctic vegetations maintain ecosystem structure and processes in the temperate and cold regions of the world. These vegetations comprise diversified flora and fauna that maintain ecological stability by providing tangible and intangible ecosystem services. However, changing climates and extreme weather affects overall parameters of arctic vegetations which is major concern today. Change in plant communities, phonological, reproductive changes along with vegetational shifting are peculiar impacts that faces by climate change and global warming phenomenon. The impact of climate change includes soil health, quality, fertility, SOC (soil organic carbon) pools, sequestration rate, rhizosphere biology, nutrient use efficiency, resource availability and nutrient cycling processes, etc. In lieu of above, this paper gives a full insight about arctic vegetations, it origin, evolutions and biodiversity in the world. Impact of climate change on various vegetational attributes, parameters and soils are also discussed in this paper.

An axisymmetric unsteady MHD free convective boundary layer flow past a vertical cone is considered in fuzzy environment and consequently the initial and boundary conditions along with the parameters involved there are uncertain. Triangular fuzzy number(TFN) is combined with finite difference method(FDM) to solve the fuzzy forms of the non-dimensional governing equations along with the fuzzified dimensionless boundary conditions. ??cut technique is applied to find the solutions by taking ? = 1, for which we may have solutions with membership grade 1 with the help of Python (an object oriented computer programming language). Velocity, temperature and concentration distribution are observed under the effects of various involved uncertain parameters.

Pregnant women are commonly known to develop vaginal discharge which can lead to complications in pregnancy such as abortions, low birth weight, premature birth, and morbidities. This study was designed to verify the incidence of Candidiasis among pregnant women attending antenatal care unit in General Hospital Abraka, Delta State, Nigeria. A total of one hundred (100) high vaginal swabs (HVS) samples were obtained from pregnant women having vaginal infections symptoms. The samples were examined microscopically and equally cultured on Sabouraud Dextrose agar (SDA) for proper identification of the isolates. Out of 100 pregnant women sampled, 46% tested positive for Candida species and 34% positive for Candida albicans. There was no statistical significant different (p<0.05) in the incidence rate of candidiasis among the age groups studied. The highest incidence rate of 70.59% and 52.94% was recorded Candida sp. and Candida albicans in the age group of < 20 years while the least incidence rate of 36.96% and 28.26% in the age range of 21-30 years respectively. The study also revealed that pregnant women in their primary level of education had lower incidence of 6.52% when compared with their illiterate counterparts with incidence rate of 30.43%. There was a significant different (p<0.05) of candidiasis in the level of education among the pregnant women. The incidence of Candida albicans in relation to vaginal discharge or discomfort, shows that 6(24%) had vagina discomfort/ vaginal discharge. High incidence of Candida albicans and other Candida species among pregnant women were observed in this study. This study has showed that candidiasis commonly caused by Candida albicans is still a chief health challenge among female students. Good personal hygiene is thus recommended to reduce or prevent the spread of infections.