CORROSION RATE SENSOR BASED ON ELECTROMAGNETICALLY INDUCED CURRENT

This Report summarizes the research study conducted on the design of corrosion rate sensor based on electromagnetically induced current. This sensor will help in the monitoring the corrosion rate in industries. This inspection system will result in the improvement of safety, environment protection, equipment protection, smooth plant operation and production rate, product quality, profit optimization, monitoring and diagnosis. The design of sensor base on the electromagnetic field to measure corrosion rate, where current is allowed to flow through the metal plate. The current has its own magnetic field around metal plate and if a conducting loop is placed and moved near the magnetic flux, electromagnetically induced current will flow in the conducting loop. The magnitude of electromagnetically induced current should be proportional to the thickness of the metal plate, and the electromagnetically induced current should be lower if the loop is near a corroded region ofthe metal structure

Stylistics Analysis of Sylvia Plath’s Poem Poppies in October

Paper under view intends to evaluate Sylvia Plath’s poem Poppies in October (1962) from the perspective of stylistic analysis. It is carried out on Graphlogical, Morphological, Syntactical and Phonological levels. The poem is a blend of classicism with modernism; imagery, images, colours, irony and symbolism being chief features of the poem. This study is ready to lend a hand to examine the structure and style of Sylvia Plath’s poetry, her themes, style, and natural treatment. Keywords: Stylistics, nature, poppies, red, death

Impact of hostel students’ satisfaction on their academic performance in Sri Lankan universities

The aim of the study was to investigate the impact of hostel students’ satisfaction on their academic performance in Sri Lankan Universities. The selected sample for the study contained 367 final year hostel students from two universities in Eastern Province, Sri Lanka using random sampling method. A questionnaire survey was administered. The level of measuring variables was interval and the relevant statistical techniques for these measures were univariate analysis, and bivariate analysis. One hypothesis was tested to assess the empirical relationships among variables. The overall average hostel student’s satisfaction was 3.29 with significantly greater P values and the average GPA of the hostel students was 3.054 with significantly greater than the normal pass. Looking at the overall association among the variables it was observed that there is a significant positive correlation between the student’s GPA and overall satisfaction factors (r.= 0.632). Finally, these findings may lead to making some recommendations to improve the present level of satisfaction of students in hostels which might lead to an increase in their academic performance

CORROSION RATE SENSOR BASED ON ELECTROMAGNETICALLY INDUCED CURRENT

This Report summarizes the research study conducted on the design of corrosion rate sensor based on electromagnetically induced current. This sensor will help in the monitoring the corrosion rate in industries. This inspection system will result in the improvement of safety, environment protection, equipment protection, smooth plant operation and production rate, product quality, profit optimization, monitoring and diagnosis. The design of sensor base on the electromagnetic field to measure corrosion rate, where current is allowed to flow through the metal plate. The current has its own magnetic field around metal plate and if a conducting loop is placed and moved near the magnetic flux, electromagnetically induced current will flow in the conducting loop. The magnitude of electromagnetically induced current should be proportional to the thickness of the metal plate, and the electromagnetically induced current should be lower if the loop is near a corroded region ofthe metal structure

CONCOMITANT GASTRIC AND LUNG UPTAKE OF TC-99M MDP ON BONE SCAN IN A PATIENT WITH DIFFUSE LARGE B-CELL NON-HODGKIN’S LYMPHOMA

Extra osseous uptake of Tc-99m Methylene Di Phosphonate (MDP) is not an uncommon finding on skeletal scintigraphy. However, concomitant lung and gastric uptake is a rare presentation. We presented a case report of a young male whose bone scan revealed lung and stomach uptake with a cold lesion over T7 vertebra. CT guided biopsy revealed diffuse large B-cell Non-Hodgkin’s lymphoma. Lung and gastric uptake of Tc-99m MDP on bone scan guides the reporting physician about the soft tissue calcinosis due to hypercalcemia associated with either malignant or non-malignant conditions

Silencing of the AV2 gene by antisense RNA protects transgenic plants against a bipartite begomovirus

Whitefly-transmitted geminiviruses (genus Begomovirus) are phytopathogens that cause heavy losses to crops worldwide. Efforts to engineer resistance against these viruses are focused mainly on silencing of complementary-sense virus genes involved in virus replication. Here we have targeted a virion-sense gene (AV2) to develop resistance against Tomato leaf curl New Delhi virus, a bipartite begomovirus prevalent throughout the Indian subcontinent. We show that tobacco plants transformed with an antisense construct targeting this gene are resistant to the virus. Following challenged with the virus, transgenic plants remained symptomless, although viral DNA could be detected in some plants by PCR. This is the first report of transgenic resistance against a bipartite begomovirus obtained by targeting a virion-sense gene. The relatively conserved nature of the gene suggests that the technology may be useful to develop broad-spectrum resistance which is required because of the fact that plants are often infected with multiple begomoviruses in the field

Factors Affecting Readiness for Business Process Reengineering-Developing and Proposing a Conceptual Model

In this paper researcher made an effort to suggest an approach to minimize risk of implementing Business Process Reengineering (BPR) initiatives by identifying certain factors crucial towards creating readiness for BPR. Lack of readiness is main factor behind high rate of BPR failures. Extensive literature review and interviews from the panel of experts provided sufficient background information. Leadership style, Information technology (IT), Top management commitment and collaborative working figured out as critical factors towards creating readiness. Regular leadership actions consistent with organizational environment, collaborative working, Information Technology and Top management commitment could promote coherence in organizational members' readiness perceptions. Assessing BPR readiness can address strong points, weak points and risks, and hence the ranking/level of readiness in the organization. Keywords: Business process reengineering, Business process readiness, Critical success factors, Organizational change

Selection of target sequences as well as sequence identity determine the outcome of RNAi approach for resistance against cotton leaf curl geminivirus complex

Cotton leaf curl disease is caused by a geminivirus complex that involves multiple distinct begomoviruses and a disease-specific DNA satellite, cotton leaf curl Multan betasatellite (CLCuMB), which is essential to induce disease symptoms. Here we have investigated the use of RNA interference (RNAi) for obtaining resistance against one of the viruses, Cotton leaf curl Multan virus (CLCuMV), associated with the disease. Three hairpin RNAi constructs were produced containing either complementary-sense genes essential for replication/pathogenicity or non-coding regulatory sequences of CLCuMV. In transient assays all three RNAi constructs significantly reduced the replication of the virus in inoculated tissues. However, only one of the constructs, that targeting the overlapping genes involved in virus replication and pathogenicity (the replication-associated protein (Rep), the transcriptional activator protein and the replication enhancer protein) was able to prevent systemic movement of the virus, although the other constructs significantly reduced the levels of virus in systemic tissues. In the presence of CLCuMB, however, a small number of plants co-inoculated with even the most efficient RNAi construct developed symptoms of virus infection, suggesting that the betasatellite may compromise resistance. Further analyses, using Rep gene sequences of distinct begomoviruses expressed from a PVX vector as the target, are consistent with the idea that the success of the RNAi approach depends on sequence identity to the target virus. The results show that selection of both the target sequence, as well as the levels of identity between the construct and target sequence, determine the outcome of RNAi-based resistance against geminivirus complexes

A Simple and Efficient Deep Learning-Based Framework for Automatic Fruit Recognition

Accurate detection and recognition of various kinds of fruits and vegetables by using the artificial intelligence (AI) approach always remain a challenging task due to similarity between various types of fruits and challenging environments such as lighting and background variations. Therefore, developing and exploring an expert system for automatic fruits’ recognition is getting more and more important after many successful approaches; however, this technology is still far from being mature. The deep learning-based models have emerged as state-of-the-art techniques for image segmentation and classification and have a lot of promise in challenging domains such as agriculture, where they can deal with the large variability in data better than classical computer vision methods. In this study, we proposed a deep learning-based framework to detect and recognize fruits and vegetables automatically with difficult real-world scenarios. The proposed method might be helpful for the fruit sellers to identify and differentiate various kinds of fruits and vegetables that have similarities. The proposed method has applied deep convolutional neural network (DCNN) to the undertakings of distinguishing natural fruit images of the Gilgit-Baltistan (GB) region as this area is famous for fruits’ production in Pakistan as well as in the world. The experimental outcomes demonstrate that the suggested deep learning algorithm has the effective capability of automatically recognizing the fruit with high accuracy of 96%. This high accuracy exhibits that the proposed approach can meet world application requirements.publishedVersio