Insight on the scope of genetic variation between the varieties in terms of seed germinability, emergency, coleoptile length and seedling growth traits of long-term storage is useful for the improvement of approaches for long-term conservation of crop genetic resources. It was studied here the genetic variability in seed germination and seedling emergence rates with coleoptile length, root and shoot traits after long-term natural ageing through 7 years of storage and non-storage (control) in 19 bread wheat varieties with or without RhtB1a, RhtB1b and RhtD1b. Synthesizing these findings with broader patterns of crop growth suggested that long-term storage impaired investigated traits, however the most decline was obtained about 50% in seedling emergence rate in 7 d. Despite the reduction on average emergence rates, two varieties, Kate A1 and Flamura 85 seemed to not as affected considerably by long-term storage compared to other varieties. Moreover, semi-dwarf varieties with RhtB1b generally had shorter seedling shoot length and coleoptile length with a few exceptions. The findings here further indicated that coleoptile length had significant and positive association with shoot length (r=0.72**) and seedling emergence rate in 7 d (r=0.60**) as well as root length (r=0.35**), shoot mass (r=0.43**), root mass (r=0.19*), seed germination rate (r=0.29**). Collectively, the products of the study were summarized in this paper in order to serve as a guide for any researcher undertaking to elucidate mechanisms underlying reason of long-term storage at high ambient room temperature.

The development of social, science, and technology confirms the urgency of the implementation of education technology (ET) in learning. The purposes of this study are: 1) to analyze the description of ET implementation at schools in various manifestations, 2) to analyze, in order to reconstruct the factual model of ET implementation, 3) developing model on ET implementation in learning at schools; 4) test the feasibility of models. The method of this research is Research and Development (R and D) design with 4 main step that is preliminary study, empirical model reconstruction, hypothetical model construction, and model validation and justification. The subjects of this research are Senior high schools in Rembang Regency as outermost regency in Central Java Province. The results of this research are: 1) ET implementation manifestation in learning, including: a) ET as learning source is sufficient category, b) ET as e-learning is less category, c) the teacher’s understanding of the ET is satisfactory category, d) ET as the quality of learning in the good category, and e) ET as the quality assurance is in the less category. 2) the factual model of ET implementation in facilitating and improving the learning performance in Senior high schools can be divided into: a) based on the realization (ET as: learning media, learning process, utilization of learning resources, and utilization of ICT for learning, b) based on the nature of implementation model of “conventional”, “unorganized”, and “organized”), and c) based on the main initiator (individual and structural).

The objective of this study was to investigate the modulator effect of Ginkgo biloba or/and ginseng against aluminum neuro-toxicity. Forty adult male albino rats were classified into five groups. The 1st one was represented as control group. The 2nd group was treated orally by 100mgAlCl3.6H2O/ kg.bwt (5days/week) for 12weeks. The 3rd group was treated with oral dose of Ginkgo biloba (200mg/kg.bwt/day) for one month after received AlCl3 as previous mentioned. The 4th group was treated orally with ginseng (200mg/kg.bwt/day) for one month later after received AlCl3. The 5th group was treated with both Ginkgo biloba and ginseng as previous mention after received AlCl3. The results showed that administration of AlCl3 to rats induced a significant (p<0.05) increase in the levels of serum NPY as well as brain homogenate of AchE, B-FABP, amyloid β-peptide, MDA and TNO. Also, the data noticed a significant (p<0.05) decrease in the levels of serum OX-A and FT3 as well as Ach, Bcl-2, BDNF, GSH, GPx, SOD and CAT in brain tissue. While, no remarkable changes were recorded in serum OX-B and FT4 as compared to control animal group. A remarkable correction in all previous studied parameters was observed in the neurotoxic rat groups after treated with Ginkgo biloba or/and ginseng. It could be concluded that brain is particularly susceptible to aluminum toxicity whereas, treatment with Ginkgo biloba or/and ginseng improve all studied parameters. So, they can be considered in combination as a promising drug for neuro-disorder.

Big data is a huge amount of data which comes from various sources in the form of logs, blogs, emails, and other information and is growing at exponential rate. It is in structured, unstructured, and massive homogenous & heterogeneous form. Due to this, traditional technologies are unable to store, manage and process such huge volume of data. In addition, various technical as well non-technical issues are associated with this huge data. To overcome this, Apache software foundation has developed a system tool called Apache Hadoop. It is one of the most highly used technologies which can handle the large volume of data as well as provide high-speed access to the data within the current application. Therefore, Hadoop is synonymous with the term big data. This paper revolves around the big data processing solution Hadoop and its components with some more details which consist of MapReduce and Hadoop Distributed File System (HDFS). The details provided can be used for developing large-scale distributed applications and for deriving most of the benefits of computational powers of several nodes for data and compute-intensive applications. In addition, the paper also contains the applications of Hadoop in different fields.

Many applications are hosted on cloud databases where several applica-\ntions share the same database instance. Such database management system exhibits periodic behavior in terms of data references. For example US customer\'s accesses data\nin particular time while Japanese customers accesses data in some other time. The pe-\nriodicity of data references is translated into periodic block references. This periodicity\nof block references can be used to improve cache performance by improving block re-\nplacement policy. This paper proposes a novel cache replacement policy by considering\nperiodicity of references of database blocks. It also proposes how to estimate probabil-\nity of block reference in time interval using Parzen window, and determines working\nset based on probability and denes the cache management policy using this working\nset. The experimentation shows considerable improvement of hit ratio as performance\nmeasure of buer cache management as compared to other state of art determining\nalgorithms.

For the first time in this article, the authors consider the phenomenon of super graphics as a street art in the organization of the environmental space of the modern city on the example of Russia and Turkey. The Problem of emergence and development of an supergraphics in urban open spaces at the present time is of particular relevance, as Russia is, once again, still looking to the West, trying to take a new look at urbanization environmental space, finally remembering about the Russian mentality, social environment and spiritual culture of the personality of the inhabitants of the Russian cities, as consumers of street art. \nStreet-art of the 21st century actively and rapidly occupies a special niche in the world culture of the civilized world. This new mean of self-expression and uncovering the abilities of the artist. This is modern art, which claims to artistic autonomy and cultural identity. \nThe phenomenon of supergraphics as street-art is to create expressive contrast of the environment of the urban space while simultaneously establishing communication between the residents of the city, different social groups and communities. If we consider supergraphics as public art, it is necessary to classify it under the latest directions of urban art, as the aesthetics of the urban environment which is due to the synthesis of the arts and realized at a new historical stage of development of world culture.\nThe aim of the research is the scientific study of the phenomenon of an supergraphik and identifying the stages of its evolutionary development, definition of its principles and functions.\nMethods the study was historical analysis, the study of an supergraphics as the aesthetics of the modern city, its imagery and compositional expressiveness as the structure of the architectural object, system method, the color-graphical analysis as an supergraphics design object design, the empirical method of scientific cognition of the urban environment through observation, field survey, interviews and surveys with residents.

The incidence and prevalence of cancer increased in the world, with breast cancer being the second cause of cancer death in Brazil. Radiation therapy is essential in the cancer treatment, however, commonly it causes side effects. Radiation promotes its therapeutic effects not only in tumors but also in healthy tissues through the formation of free radicals. On the other hand, in order to assure the homeostasis of the tissues, several antioxidant mechanisms remove free radicals, including those formed by the action of radiation in order to reestablishing the redox balance. Thus, this study aimed to evaluate the oxidative stress degree as well as non-enzymatic antioxidant defenses quantified by FRAP in the plasma of patients with breast cancer submitted to radiotherapy and to verify if these parameters are modified in those patients who develop radiodermatitis. In this way, 41 patients submitted to radiotherapy for treatment of breast cancer in the Department of Radiation and Oncology of Marília Medical School (FAMEMA) were included in a prospective cohort study. From these patients, plasma samples were obtained at the beginning, in the middle and at the end of the radiotherapy protocol, for analysis of non-enzymatic antioxidant defenses and oxidative stress. No significant differences were observed in terms of TBARS in samples from patients collected at the beginning and at the half of treatment. However, the FRAP was higher in the samples collected at the end (1130.36 ± 217.34; p = 0.01) compared to the samples collected at the beginning (1049.56 ± 171.21; p = 0.01) and in the middle (1070.67 ± 219.26; p = 0.03) of the treatment. On the other hand, no differences of FRAP were observed along the treatment. It was also observed a lower incidence of grade 2 radiodermatitis among patients undergoing radiation therapy with hypofractionated doses. However, there were no differences in FRAP or TBARS among patients who developed radiodermatitis of any degree in relation to those who did not develop the side effect. No differences of FRAP or TBARS were also observed between patients that presented grade 2 radiodermatitis in relation to the others evaluated in the study. It was concluded, therefore, that the plasma antioxidant defenses evaluated FRAP improve along the radiotherapy, however, this improvement is not followed by significant changes in the degree of oxidative stress. There was no clear relationship between changes in TBARS or FRAP values with the occurrence or severity of radiodermatitis.

The humans are gifted with capability to differentiate salient objects from the background, the ability of a machine to do so is an important ingredient in the field of Computer Vision. The researchers have not yet been able to propose a model that can match the performance of humans, while saliency in noisy environment can’t be\nseen in near future. In this work, the detection accuracy is maintained even in noisy environments where the features are highly compromised, without capitalizing much of\ncomputation time. The model utilizes the concept of deep learning in denoising the image followed by gathering the information prevailing at the edges and corners of the\nobject in the image. The denoising of an image is done using a convolutional neural network (CNN) consisting of\nCoordinate descent as regularizing function. Various key points are then extracted from the denoised image using three different filters namely multi-scale Gabor, multi-scale\nContrast and multi-scale Harris energy functions. These points are applied to the convolution kernal and loss is\ncalacuted, then backpropagation is applied to fix the network which generates the saliency map. The performance of the proposed model is evaluated using precision, recall,\nF-measure, area under curve (AUC) and computation time using six publicly available image data sets. Experimental results from six different datasets proves that model is robust for any type of noise or mixture of noises.