Aim: Aim of this study is investigate the collagen amounts that have been deposited within the chorioamnionic membranes of term pregnancies by means of electron microscopy. Material and Methods: The study group was made up by 20 women with term pregnancies who were diagnosed with premature rupture of membranes (PROM). Control group consisted of 20 women with term pregnancies who had no leakage of amniotic fluid. Electron microscopy was utilized to assess the collagen amount within the tissue samples which were acquired from the chorioamnionic membranes of the patients. Results: When the control group was compared with the study group, term pregnancies with PROM were found to have statistically lower quantity of collagen within unit area of chorioamnionic membranes(Mean values are respectively 69.5% ± 26.3% vs 49.60% ± 23.44%; p=0.017; 95% confidence interval: 0.14-0.19) Conclusion: Many factors have been implicated in the etiology of PROM. The present study concludes that the decrease in collagen quantity is statistically significant in chorioamnionic membranes of term pregnant women with PROM.

This new bee hive technology was designed, produced and pretested as a creative innovation on its structure and convenience for local bee races as we observed on some hives of this technology, they always work circular comb. The data on this particular work was measurements of the hive parts, construction challenges, and, and opportunities of the hive in the workshop, in my opinion there will be many works in near future on refining of hive parts, size, component number and comparative evaluation based on suggested areas and with other local and modern hives.

In this paper, the effect of buoyancy force in a triangular enclosure are studied numerically. The governing differential equations are solved by using finite element method (weighted-residual method). Here the left wall of the triangle is assumed to be adiabatic, the right and horizontal wall are kept at cold and heated respectively. Also all the wall are assumed to be no-slip condition. The effective governing dimensionless parameters for this problem are Rayleigh number, Prandtl number and Hartmann number.

Introduction: Preterm birth is considered a worldwide problem having multifactorial causes showing a high rate of morbidity and mortality, even in this 21st century; researchers are working in the proteomics field searching for new solutions to its prophylaxis. Objective: This article is aimed at reaching a review of the most recent aspects concerning the use of progesterone to the specialists who follow up pregnant women having short cervix and history of preterm births. Development: A transvaginal cervicometry is performed in the 18th and 24th weeks of gestation, which can also be performed trans-abdominally to determine the length of cervix, the internal cervical os(ICO), the existence or not of cervical funneling, the presence of complete, partial or non-presence of mucous plug, and if sludge is observed in the amniotic fluid or the socalled muddy fluid; in this case, a cervix length lesser than 25 millimeters, in a single pregnancy, helps us to predict a high risk of preterm birth, worsening if the other factors mentioned before are observed; which can be previously explored using this technique. Henceforth, considering these results and evidences, the treatment with progesterone can be established following the recommended scheme. Conclusions: The cervicometry and the assessment of other factors in the cervix, together with the evidences found aid establishing prophylactic measures to avoid preterm births using progestins.

This paper introduces the ant colony meta-heuristic technique to optimally locate STATCOM in 330kV Nigerian Network. The Ant Colony Optimization (ACO) algorithms used the STATCOM parameters and probabilistic model to generate solutions to the problem of siting STATCOM in Nigerian network. The optimal location of STATCOM in Nigerian network is evidenced in bus voltage profile enhancement and minimization of transmission losses. The probabilistic model is called pheromone model which consists of a set of model parameters, often referred to as pheromone values. At runtime, the ACO algorithms try to update the pheromone values from previously generated solutions in such a way that the probability to generate high quality solutions increases over time. Finally, the graph of pheromone trail and path treaded by the ants along the various nodes are captured whose codes are validated using the Matrix Laboratory Software (MATLAB) environment.

This study examined the possible influence of teacher’s remuneration and their attitude to work in Cross River State. Two main hypotheses were formulated for the study and the main instrument were the "Teachers Remuneration and Attitude Questionnaire" (TRAQ). It was given both full and content validity by experts in measurement and evaluation before administration. The TRAQ were administered on ISO teachers using he random sampling technique. The responses obtained from the questionnaire were coded and the Chi-square statistical analyses were used to test the hypotheses. The significance at 0.05 level were also determined. The result showed that regularity in the payment of teachers salaries influenced their attitude to work while payment of remunerations to teachers had an insignificant influence on teachers attitude to work. Based on these findings, recommendations were made for improvement (International Journal of Social Science and Public Policy 2002:5(1) pp 108-113).

The present study approaches the hypothesis according to which, the Sri Lankan war was very hard to handle. On the 25th of July 1983, a date which is also known as “Black July”, groups of Sinhalese civilians brutally attacked the Tamil community, provoking numerous deaths, fires and robberies. This is commonly considered the beginning of the civil war, which has officially ended 26 years later, in 2009. It could not be settled even after several rounds of peace talks, international mediation with India and Norway as facilitators, and a very supportive international context. It is very important to note that failed and inconclusive mediation not only did not put an end to the war, but made it re-escalate to a level of terror unprecedented in the history of the country - the LTTE was labeled as a terrorist organization by 32 countries. The present study conviction is that there is one factor in particular that can be considered a huge obstacle in the way of ethnic reconciliation and sustainable peace: the unaddressed ethnic issues which caused the war in the first place. The military victory over the LTTE left these issues still not brought up for solution, since state actors were oriented towards “solving the problem” and ending the war at all costs, and promoted it as a successful defeat of terrorism. This does not guarantee that their conflictive potential has been entirely spent.

DNA is a very important component in a cell, which is located in the nucleus. DNA contains lot of information. For DNA sequence to transcript and form RNA which copies the required information, we need a promoter. So promoter plays a vital role in DNA transcription. It is defined as “the sequence in the region of the upstream of the transcriptional start site (TSS)”. If we identify the promoter region we can extract information regarding gene expression patterns, cell specificity and development. So we propose a novel fast multiple attractor cellular automata (MACA) with modified Clonal classifier for promoter prediction in eukaryotes. We have used three important features like TATA box, GC box and CAAT box for developing this classifier. The proposed classifier is tested with datasets from Eukaryotic Promoter Database, EPDnew which is a collection of promoters of human, mouse, zebrafish and D.melanogaster. In training phase of the classifier 100% specificity was obtained. In testing phase 84.5% sensitivity and 92.7% specificity was achieved in an average. The time taken to predict the promoter region of length 252 in an average is .7 nano seconds.

The purpose of this work is to optimize the recommendation system by creating a new model of recommender system with different services in a global e-commerce website. In this model the most effective data sources are integrated to increase the accuracy of recommendations system, which provides the client more intuitive browsing categories interface. The sources used for this model are the user’s searching log on the global website, and data referred extracted from search engines, more clicked URLs, highly rated items, and the recommendation algorithms of new users and new items. In additions, user’s interests based on locations, and the hot releases items recommended by the admin or shop owner of the e-commerce website according to the website marketing strategy. When the users browse the website, the data sources will automatically combine to incorporate the derived structure and associate items for each category into a new browsing recommendation interface. The advantages of this model will assist the users to discover their real interested items with flexibility and high efficiency; it also provides some solutions for some serious problems and challenges that exist in the current recommendation services. Data mining technology and clustering algorithms have been proposed and applied to perform the idea of this work. ASP.NET is the implementation tool for the application website, Microsoft SQL server is used for database management.

In this paper, the stabilization of studied dune sands was made by compaction and addition of stabilization agents; cement and fillered sand. The cement percentage ranges from 2 to 10% with a step of 2%, and that of the fillered sand from 0 to 30% with a step of 10%, sixty mixtures have been prepared. For each mixture, the optimal normal Proctor, the porosity accessible to water, the compressive strength, the splitting tensile strength and the elasticity modulus were investigated. The data so developed were statistically analyzed in order to examine the influence of the dune sand origin and the proportioning of stabilization agent on the porosity, and establish the links between porosity, the maximum dry density and the mechanical behavior (MB) of stabilized dune sands. Through the results obtained, relationships between porosity, the maximum dry density and the mechanical behavior were performed in an acceptable manner, irrespective of the dune sand origin and the stabilization agent content.