Marangoni stability in a layer of composite scheme in which a liquid layer with temperature-dependent viscosity overlies a saturates porous material with boundary slab of finite conductivity is carried out. The relationship between the viscosity and the temperature is assumed of exponential type and eigen value problem resulting from the stability analysis is solved by regular perturbation technique. It has been found the stability characteristics in terms of the critical Marangoni number is profoundly influenced by the conductivity and slab thickness and viscosity variation. Dependency of viscosity parameter, thermal conductivity ratio, and depth ratio is graphically discussed. The current findings may provide useful data in the solidification phase of alloys to understand the convective movement of the melt.

The MSE (Mechanically Stabilized Earth) wall is used as an alternative designed structure for conventional cantilever walls and gravity walls. This wall behaves as a coherent block considered as flexible, which can sustain loading types and deformations due to the interaction between the backfill and the inclusion materials. The MSE wall is used in many areas of central, state and private projects, as construction is simple and rapid, cost effective, stabilized structure and reduced right of way acquisition. Internal and external stability of MSE wall mainly depends upon interaction between the backfill soil and reinforcement, stiffness of reinforcement and vertical spacing between reinforcements. Each of the reinforcement in the block should be checked against slip, pullout and tensile resistance. In the present study, three dimensional 4 m height MSE wall analysis is carried out using GEO 5 software to check internal and external stability. Detailed investigation is done to understand the effect of vertical spacing of geogrid reinforcement and its stiffness on the stability of wall. External stability (Global stability) of MSE wall is also carried out using various methods of analysis such as., Bishop, Fellinius, Janbu, Morgenstern-Price and Spencer methods. In this analysis, to account for effect of interaction between soil and reinforcement, coefficient of interaction (Ci) is considered. Seismic effect is considered by adapting horizontal and vertical seismic coefficients as 0.5 in the analysis. The obtained results show the variation of factor of safety for slip, tensile and pullout resistance for reinforcements with different stiffness and vertical spacing. Static and seismic safety factors obtained for pullout and tensile resistance are compared with each other. External (Global) stability safety factors obtained from static and seismic analysis are compared.

The applications in computer vision involve the segmentation process for extracting significant parts in an image. In this work, k-means based on intensity values using histogram technique enforcing by edge detection methods have been used to detect the interesting regions in an image. First, enhancement procedure is applied on input images, then segmentation is achieved based on pixel intensity features using k-means algorithm, histogram has been utilized to indicate one property that used in segmentation process, then it emphases by edge detection techniques, Canny and Sobel operators are used in this work.

Although mitochondrial DNA mapping of V. destructor revealed the presence of several haplotypes, only two of them (Korean - AF106899- and Japanese -AF106897- haplotypes) were capable to infest Apis mellifera populations. Even though the Korean haplotype is the only one that has been reported in Argentina, these conclusions were based on mites sampled in apiaries from geographical areas of Argentina The aim of this work was to study the genetic structure of V. destructor populations from 17 apiaries located in three provinces of the central region of Argentina in order to determine the presence of different haplotypes. Phoretic adult Varroa mites were collected from honey bee workers sampled from apiaries for DNA extraction samples of crude DNA were used to amplify CO-I gene via PCR Real Time using COXF and COXRa primers Amplified fragments were analyzed by High Resolution Melting. Sequences share 3 clusters of similitude. One sample of each cluster were purified and sequenced. Sequences were compared using ClustalW in order to identify which V. destructor haplotype was present. All DNA sequences obtained from mite populations sampled in Argentina, share 98% of similitude with Korean Haplotype. Taking into account these results, we are able to conclude that Korean haplotype is cosmopolite in San Luis

This paper presents a method for solving achievement multi-objective nonlinear programming (AMONLP) problem and the study of stability for this problem. The technique called interactive stability compromise achievement (order approximating achievement) programming (ISCAP) displays a practical solution to AMONLP problems via deriving the compromise weights and merge judgments with an automatic optimization technique in fuzzy decision making. This is completed by using the method of compromise weights and the method of compromise programming. By modifying the order approximating achievement function and we obtain the stability set of the first kind for the solution in each step of the algorithm. A numerical example illustrate of the results developed in this paper.

The implementation of cloud computing methodologylegitimize diverse paths for the Web-based services in order to meet disntinctneeds. However, the the privacy and security of data has presented a critically challenged issue restricting large applications of the cloud. One of the most significant concern in privacy and security is mainly caused by concentrating over the fact that the opertors of the cloud have the ability to reach the sensitive amount of data. This type of concern completely increases the anxiety of the users and it reduces the cloud computing adaptability in various fields, such as the governmental agencies and the financial industry. This paper mainly focuses over the presented issues and thereby proposes an approach based on intelligent cryptography, by which the operators of the cloud service loose the ability to reach the partial type of data on direct basis. The proposed approach helps in dividing the file and it separately stores the data in distributed cloud servers. This kind of research helps to improve the classification of sensitive data and it schedules the cloud in an optimizing manner which increases the time-based efficiency and cost of security.

BACKGROUND:\nChildhood tuberculosis is neglected from decades due to improper clinical manifestations and barriers for health coverage in children. This causes the increase in burden of tuberculosis. Pakistan is the 5th country with highest burden of tuberculosis. \nOBJECTIVE:\nThe main purpose to perform this study is to determine the morbidity rate of childhood tuberculosis in public hospitals of Pakistan.\nMETHODOLOGY:\nIt was one year retrospective observational study, conducted in public hospitals of Narowal, Pakistan. Data was collected from medical records of District Headquarter (DHQ) and Tehsil Headquarter (THQ) hospitals and analyzed by using SPSS version 21.0.0. \nRESULTS:\nTotal population of two observed sites was 620,805 of which registered TB patients in THQ and DHQ were 875 including pulmonary and extra-pulmonary TB, n=723 and n=152 respectively. Number of children (< 14 years) with pulmonary tuberculosis and extra-pulmonary tuberculosis were n=34 and n=20 respectively. Total 54 patients < 14 years of age were registered in THQ and DHQ by clinically diagnosis or with bacteriologically confirmation. Females were greater in number n=29 as compared with males n=25. The burden of childhood TB was 54/620,805 or 9/100,000, this value clearly represents that in every 0.1 million population there will be 9 children with TB. While the prevalence of childhood TB represented as 6% of the total population (54/875) at study sites.\nCONCLUSION:\nIt was concluded that patient with age group of 5-14 years were more prone to TB, but incidence of childhood TB was decreased 6% as compared with other study 11.3% in Pakistan.

Azerbaijan is a country rich in a wide variety of vegetables, fruits, and berries. The range of their products (juice, puree, candied fruit, etc.) is constantly expanding. One of these products is puree.To store vitamins, micro- and macro-elements contained in vegetable puree and to save energy, a vacuum evaporator was used. Temperature and pressure dependence formulas for the thermal physical parameters of steam were obtained. The mathematical model of the vegetable puree preparation is in the form of material and heat balance and in the form of equations reflecting the thermal physical nature of the process.The empiric coefficients included in the parametric identification formulas of the mathematical model were determined based on the experimental results. The results of the experiments present the dependence between the dry matter concentration in the baked product and the initial material for baking at various pressures of the heating steam.The comparison of values of the dry matter concentration in the cooked product obtained experimentally and by calculations was presented. The maximum error does not exceed 10%.\nThus, mathematical modeling, which has become widespread in the food industry, allows not only optimizing the modes of technological processes, developing recipes, evaluating the quality of finished products, but also predicting their shelf life, which nowadays with a growing and often changing assortment, significantly reduces the production time and material costs in the development of new types of food products, including functional value.

The development of wheat (Triticum aestivum L.) in each of its stages is a process that must be monitored objectively and permanently, even more as a result of the intense climatic variability that has caused damage to the crop and given its importance in the basic diet of human beings, has violated global food security. In support of this monitoring, the review of the literature shows that the proposals of high precision supported by information technologies are limited, even though the works based on mathematical-statistical techniques are diverse, however, with precision deficiencies. Based on the foregoing, the present work consisted of developing an Artificial Neural Network of hybrid learning and graphic interface to predict damage and cause in wheat crops, through the analysis of daily climatic records and phenological parameters proposed by FAO. The network was trained by using the k-media method, the Widrow and Hoff algorithm and 53,585 daily climate records of the last 3 decades until 2018 from weather stations located in different regions of the world, once this process was completed it was validated with classified data by continent, in total 4,689 records of the year 2019, the results with correct validation achieved were greater than 83% for Europe and America, for the other continents the accuracy was 99% or greater, these results demonstrated superiority of accuracy of the proposal, with respect to that reached by the mathematical and statistical models accepted by the cereal sector. The proposal is considered effective and is proposed as an innovative strategy for strengthening food security.

The quality of lighting plays an important role in the breeding of birds. As lighting is an energy-consuming process, the study of resource-saving variants is very relevant for poultry farms. In this regard, the purpose of the article was to prove the feasibility of the optimal parameters of the use of LED lamps in poultry buildings. The methodological approach to the problem is based on theoretical bases for bird vision, the selection of effective light sources and modes.The parameters of the selected light source during illumination across and along the poultry building have been investigated. The graph depicting dependence between light intensity and beam angle and the table presenting the distribution of luminous flux at various degrees of the light intensity curve were used in the study. The feasibility of lighting parameters was proved by calculations.In a poultry building with sizes of a = 66 m, b = 12 m, it is recommended to place 66 LED lamps on 2 lines (NL = 2) (a distance between the lines is 7.84 m). The number of LEDs in an illuminator (beam angle 300) is 133, and the power is 7.98 W. This variant is 2.4 times more efficient than the base variant (LED - 19.2). The lighting quality is Z = 1.1.

The aim of this study was to evaluate formulations of diet strawberry ice-cream and select the most suitable in terms of the sensory characteristics of appearance, color, taste, creaminess and global acceptance which meet the expectations of the consumer. Pasteurized milk, WPCs, whole milk powder, neutral stabilizer, emulsifier, strawberry aroma, strawberry flavoring and four edulcorants were used to produce the ice-cream. The results indicated that the edulcorant sucralose/acesulfame K was closest to the ideal and that the use of WPCs was preferable in relation to milk powder.

Being one of the major sources of communication, Email system has been widely used divers of people. Despite social networks and continued evolved mobile applications, Emails retained their importance as official documents in user communications. On the other hand, fraudulent emails, namely Spam emails, have misused such internet services, in that it become a risk specially when attached with viruses or spyware agent , a case that ruin recipient\'s system. Therefor an emergent need for classifying Emails become a necessity to detect spam Emails. Emails\' data mining and analysis techniques can greatly assist detection of Emails precisely when conducted with a powerful classification algorithm.\n This work presents a spam detection model. The model uses the popular linear Support Vector Machine (SVM), which is called \"Sequential Minimal Optimization (SMO)\" as the Email classifier, and is integrated with various feature sets. The work aimed at finding the effect that divers of feature sets have on the accuracy of Email classification. To reach the aim, the proposed SVM-based classifier is tested against different-sized, Bag-Of-Word (BOW) feature sets. Abundance of features is tackled using terms frequency (TF) technique of feature selection. This technique required the building of features occurrence matrix weighted by the frequency value of terms. A CSDMC2010 spam corpus of raw Emails is used to conduct learning of the proposed classifier. Experimented results outlined the fact that choice of feature set has a greater impact on classification rate than the choice of the classification method used.

Technology is enhancing the human life day-by-day among that Internet of Things (IoT) is a promptly rising field.IoT is a group of various heterogeneous embedded devices has been connected using different transport methods likeWi-Fi, Bluetooth low power, Zig-bee IP. The devices also uses the different data communication protocols likeMQTT, CoAP, XAMPP and et., these things enables even unauthorized nodes also connect and communicate withanother nodes in the entire network. This is will be major security thread. To avoid these various standardized internetsecurity protocols have used, the major issue with these protocols are they designed for the application specific thingsso performance of these algorithm over different communication methods are questionable. To handle this problemwe proposed a stochastic model to suggest the optimum transport and data communication protocol combination. Thispaper also discuss the performance of existing IoT protocols over the different communication methods with pros andcons with discriminant comparative analysis. The security is the key in the internet era so this paper focuses more onthe security vulnerabilities in the existing IoT protocols and discusses the open research issues in the protocols forIoT.