_The article reveals the essence of methodological and applied recommendations for the development of environmental management systems of industrial enterprises. As a result of the study, the structure of the environmental management system is clarified, alternative options for modeling the development of this system are considered, and the stages of formation of the environmental potential of the enterprise are highlighted.

This study investigates the spatiotemporal variability of Total Ozone Column (TOC) over Nigeria and its relationship with climatic variable (cloud cover) from 1998 – 2012. Monthly mean daily Total Ozone Column and cloud cover data were obtained from the Earth Probe Total Ozone Mass Spectroscopy (EPTOMS) and the International Satellite Cloud Climatology Project (ISCCP)-D2 datasets respectively. Bivariate analysis and Mann Kendall trend tests were used in data analysis. MATLAB and ArcGIS software were employed in analyzing the data. Results revealed that TOC increases from the coastal region to the north eastern region of the country. Seasonally, the highest value of TOC (272.12±0.75 DU) was observed in August; the peak of rainy season when cloud activity is very high, while the lowest value (245.69±0.10 DU), was recorded in January. This variation could be attributed to rain producing mechanisms which influence the distribution of Ozone. Furthermore, statistical analysis revealed linear relationship between cloud covers and TOC, which depicts teleconnection between lower and upper atmosphere. This study has given information that are useful in understanding the coupling of the lower and upper atmosphere.

Background: Obesity is an alarming threat to health in Egypt. More than one in three Egyptians is obese, the highest rate in the world. This study aimed to delineate the relation between obesity and the inflammatory and endothelial cell markers among Egyptian females with different obesity classes. \nMethods: The study included seventy females with obesity were classified into three groups: Class I obesity with body mass index (BMI) of 30–34.9kg/m2; Class II obesity with BMI of 35–39.9 kg/m2 and Class III obesity ≥ 40kg/ m2, in addition to 60 normal controls (BMI < 25 kg/m2). The anthropometric measurements were recorded for all of the subjects. In addition, the levels of tumor necrosis factor-alpha (TNF-α), C-reactive protein (CRP), interleukin 6 (IL-6), IL-12, soluble intercellular adhesion molecule 1 (sICAM-1) and soluble vascular adhesion molecule 1(sVCAM-1) were assessed among controls and obese subjects. \nResults: In all three classes of obesity, significant increase in BMI, waist-hip ratio (WHR), fat mass and body fat mass % were noted as compared to control. Also, CRP and sVCAM-1 levels were increased among the 3 obesity groups. TNF-α levels were increased in class II and III obesity groups. While, serum levels of IL-6 and IL-12 were elevated in class I and class III obesity groups. On the other hand, only class III obesity group recorded significant increase in sICAM-1 levels as compared to control.\nConclusion: With particular alterations of inflammatory and endothelial dysfunction induces among obesity classes, our data strongly support the hypothesis that a subclinical inflammatory reaction has a role in the pathogenesis of obesity and emphasize elevation of endothelial dysfunction in individuals with obesity.

We investigated the feature characteristics map inside deep machine learning by tracking the transport map.

Biometric authentication systems are becoming more and more important in everyday life. To protect the system from access by imposters, recognition of identity of the speaker apart from linguistic content is necessary. Accurate human-computer interaction system in real time is demand of the hour. In order to implement a speaker recognition system if gender identification is done a priori, it enhances the performance of speaker recognition system by limiting the search space. In this work, a double stage classifier has been proposed in which first gender filtering has been performed which is followed by speaker identification. Evaluations and validations have been performed using standard ELSDSR database comprising of clean speech. To further validate the proposed scheme in real life noisy scenario, analysis is carried out using standard NOIZEUS database. The developed system is language and content independent in addition to being simple, as well as efficient in terms of identification rate and computational time. From the results it has been observed that with the proposed double stage classifier the computational time has been reduced to almost 48% while maintaining the accuracy of the single stage classifier.

Renewable energy represents a driving force for development in different territories, because it relies on inexhaustible sources from nature such as wind, water or sun and allows environmental impacts to be reduced. In this way, there are different types of renewable energy such as wind, hydraulic and photovoltaic and can be applied according to the geographical characteristics of a particular area analyzed. In this sense, the ease of use of photovoltaic energy stands out because it can be used through solar panels, which are installed in spaces that meet a high potential of solar radiation such as the roof of an establishment or a wasteland, without generating interference in everyday life, which is an advantage for obtaining electrical energy in rural or urban areas. However, there are beliefs that distort the information, which influences the rejection or improper implementation of projects with solar panels. Therefore, the objective of this research was to identify the beliefs that exist about the implementation of solar panels to verify their veracity and reduce the prejudices regarding the process of using them. Considering the above, this research was of a qualitative type because non-measurable data about myths and realities existing in the implementation of solar panels were manipulated. A documentary review was carried out in order to obtain information related to the topic addressed in this research, through sources such as books, magazines, and articles. As a result, different myths were obtained, such as solar panels do not produce energy on cloudy days, the installation of solar panels is very expensive and solar panels are not very durable