294 research outputs found

    Susceptibility of Field-Collected Pupations of the Corn Earworm, Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae) from Three Southern States of the U.S. to Cry1A.105 and Cry2Ab2 Proteins

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    The corn earworm (CEW), Helicoverpa zea (Boddie) (Lepidoptera: Noctuidae), is a major target pest of pyramided Bt corn and Bt cotton in the U.S. In 2016 and 2017, notable corn ear damage and larval survival of CEW were observed on pyramided Cry1A.105/Cry2Ab2 corn in some fields in northeast Louisiana. The objectives of this study were 1) to determine if the ear damage and larval survival observed in the area were due to resistance development to the Bt proteins in the plants, and 2) if resistance had occurred, to determine the approximate distributions of the resistance in the southern region of the U.S. To accomplish the proposed objectives, 12 populations of CEW were collected from Bt and non-Bt corn plants in multiple locations in Louisiana, Georgia, and Florida. Diet-overlay bioassays were conducted to examine the susceptibility of the progeny produced from the field-collected populations to Cry1A.105 and Cry2Ab2. Results of the bioassays showed that the median lethal concentrations (LC50s) of Cry1A.105 and Cry2Ab2 for the populations collected from the areas with control problem occurrence were as much as \u3e909-fold and \u3e25-fold greater than that of a known Bt-susceptible strain, respectively. The results documented that the observed field control problems of Cry1A.105/Cry2Ab2 corn in northeast Louisiana was due to resistance development of the insect to the Bt proteins in the plants. This is the first documentation of field resistance to Bt corn in any target insect species in the U.S. mid-south region. However, susceptibility levels to Cry1A.105 and Cry2Ab2 varied greatly among the CEW populations collected from the three states, suggesting a mosaic distribution of the resistance in the region. Several factors could have contributed to the rapid development of the resistance to Cry1A.105/Cry2Ab2 corn plants in the insect. The documentation of the field resistance to Cry1A.105/Cry2Ab2 corn in CEW should have important implication for development of effective resistance management strategies for the sustainable use of Bt crop technology in the region

    To Enhance the OTP Generation Process for Cloud Data Security using Diffie-Hellman and HMAC

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    Cloud computing is an innovation or distributed network where user can move their data and any application programming on it. In any case, there is a few issues in cloud computing, the main one is security on the grounds that each user store their helpful data on the network so they need their data ought to be protected from any unapproved access, any progressions that is not done for user's benefit. There are diverse encryption methods utilized for security reason like FDE and FHE. To tackle the issue of Key management, Key Sharing different plans have been proposed. The outsider auditing plan will be fizzled, if the outsider's security is bargained or of the outsider will be malicious. To tackle this issue, we will chip away at to design new modular for key sharing and key management in completely Homomorphic Encryption plan. In this paper, we have utilized the symmetric key understanding algorithm named Diffie Hellman, it is key trade algorithm with make session key between two gatherings who need to speak with each other and HMAC for the data integrity OTP(One Time Password) is made which gives more security. Because of this the issue of managing the key is expelled and data is more secured

    Sikhism: A Targeted Religion

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    This paper hopes to explore targeted racist crimes happening against the Sikh community. The paper goes over why these incidents seem to be happening, what affect it has on the Sikh community, and finally what the Sikh community is doing to educate more individuals on what Sikhism is

    Intra-cervical foley’s catheter or PGE2 gel for induction of labour: which one is better: a prospective study

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    Background: Labour is clinically defined as the initiation and perpetuation of uterine contraction with goal of producing progressive cervical effacement and dilatation. The Foley’s catheter is an effective alternative to prostaglandins for cervical ripening/labour induction. Study was done to compare the efficacy of intracervical Foley’s catheter and PGE2 gel as a cervical ripening agent and to study maternal and fetal outcome in terms of mode of delivery and Apgar score.Methods: This randomized controlled study was conducted in Obstetrics and Gynaecology department, Government Medical College, Patiala. 200 women with indication for induction of labour were enrolled in the study to investigate the efficacy and fetomaternal outcome of induction of labour with intracervical Foley’s catheter comparing with PGE2 gel.Results: The mean age in group A was 24.41±3.37 and in group B was 24.24±3.17 years. The 95% women were induced successfully in group A and 97% were successfully induced in group B. Preeclampsia and postdatism were the most common indications for induction in both groups. The mean induction delivery interval in group A was 15.20±4.53 hours and in group B was 15.86±4.79 hours. 4.21% cases required NICU admission in group A while in group B, it was 5.15% cases.Conclusions: Our study concludes that there is no difference in efficacy between intracervical Foley’s catheter and intracervical PGE2 gel for induction of labour and both methods are complementary to each other

    A Study of Feature Reduction Techniques and Classification for Network Anomaly Detection

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    Due to the launch of new applications the behavior of internet traffic is changing. Hackers are always looking for sophisticated tools to launch attacks and damage the services. Researchers have been working on intrusion detection techniques involving machine learning algorithms for supervised and unsupervised detection of these attacks. However, with newly found attacks these techniques need to be refined. Handling data with large number of attributes adds to the problem. Therefore, dimensionality based feature reduction of the data is required. In this work three reduction techniques, namely, Principal Component Analysis (PCA), Artificial Neural Network (ANN), and Nonlinear Principal Component Analysis (NLPCA) have been studied and analyzed. Secondly, performance of four classifiers, namely, Decision Tree (DT), Support Vector Machine (SVM), K Nearest Neighbor (KNN) and Naïve Bayes (NB) has been studied for the actual and reduced datasets. In addition, novel performance measurement metrics, Classification Difference Measure (CDM), Specificity Difference Measure (SPDM), Sensitivity Difference Measure (SNDM), and F1 Difference Measure (F1DM) have been defined and used to compare the outcomes on actual and reduced datasets. Comparisons have been done using new Coburg Intrusion Detection Data Set (CIDDS-2017) dataset as well widely referred NSL-KDD dataset. Successful results were achieved for Decision Tree with 99.0 percent and 99.8 percent accuracy on CIDDS and NSLKDD datasets respectively

    Gender Bias and Artificial Intelligence: A Challenge within the Periphery of Human Rights

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    Technology is advancing at an exponential rate, and artificial intelligence has become a contentious issue of the day. A plethora of fields influencing human life has been impacted by artificial intelligence, whereas the development of artificial intelligence has opened Pandora’s box of legal concerns. Several international organizations, including the United Nations, have identified gender equality as an indispensable constituent of the protection of human rights. The voyage of gender equality has seen a long phase of struggle and persists. This paper aims to analyze, in what manner artificial intelligence is affecting gender equality, raising concerns on the issues regarding the role played by the United Nations in securing gender equality through conventions and resolutions, is artificial intelligence capable of posing a threat to gender equality and what measures can be implemented to secure gender equality about artificial intelligence. 

    AN ANALYSIS OF THE COMPONENTS OF SELF ESTEEM IN INDIVIDUAL, TEAM AND DUAL SPORTS PLAYERS

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    The purpose of the study was to find out the significant differences among Individual, Team and Dual Sport Players on the variable Self Esteem. For the purpose of the present study, two hundred fifty eight (N=258), Male subjects between the age group of 18-25 years volunteered to participate in the study. The subjects were purposively assigned into three groups: Group-A: Guru Nanak Dev University, Amritsar (N1=86); Group-B: Panjab University, Chandigarh (N2=86) and Group-C: Punjabi University, Patiala (N3=86). To measure the level of Self-Esteem of subjects for the present study, the Self-Esteem Inventory (SEI) developed by Prasad and Thakur (1988) was administered. This scale consists of two parameters namely: Personal Perceived Self-Esteem and Social Perceived Self-Esteem. The differences in the mean of each group for selected variable were tested for the significance of difference by One-way Analysis of Variance (ANOVA). For testing the hypotheses, the level of significance was set at 0.05. To conclude, it is significant to mention in relation to Self-Esteem that results of Individual Sport, Team Sports and Dual Sports players with regards to Social Perceived Self-Esteem and Self- Esteem were found statistically insignificant (P > .05) whereas, with regards to Personal Perceived Self Esteem were found statistically significant (P < .05).  Article visualizations

    Mixed Pixel Resolution by Evolutionary Algorithm: A Survey

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    Now a day2019;s Remote Sensing is a mature research area. Remote sensing is defined as a technique for acquiring the information about an object without making physical contact with that image via remote sensors. But the major problem of remotely sensed images is mixed pixel which always degrades the image quality. Mixed pixels are usually the biggest reason for degrading the success in image classification and object recognition. Another major problem is the decomposition of mixed pixels precisely and effectively. Remote sensing data is widely used for the classification of types of features such as vegetation, water body etc but the problem occurs in tagging appropriate class to mixed pixels. In this paper we attempted to present an approach for resolving the mixed pixels by using optimization algorithm i.e. Biogeography based optimization. The main idea is to tag the mixed pixel to a particular class by finding the best suitable class for it using the BBO parameters i.e. Migration and Mutation

    SYNERGISTIC EFFECT OF CURCUMA LONGA AND GLYCYRRHIZA GLABRA EXTRACTS WITH COPPER IONS ON FOOD SPOILAGE BACTERIA

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    Objective: To evaluate the synergistic antibacterial activity of ethanolic and aqueous extracts of Curcuma longa and Glycyrrhiza glabra in combination with copper metal ions. Methods: The phytochemical analysis of Curcuma longa and Glycyrrhiza glabra's extracts were observed by standard procedures. Aqueous and ethanolic extracts of Curcuma longa and Glycyrrhiza glabra were evaluated for their antibacterial activity against Paenibacillus popilliae by an agar well diffusion method. Antibacterial activity of copper ions and their synergistic effect was also evaluated.Results: The phytochemical analysis of the aqueous and ethanolic extracts was carried out for the detection of flavonoids, tannins, saponins, terpenoids, alkaloids and coumarins. The results of combinatorial effects of copper metal ions with aqueous extracts of Curcuma longa and Glycyrrhiza glabra showed maximum antibacterial activity (30±0.33 mm and 30±0.00 mm) when 25 µl of plant extract combined with 25 µl of copper ions, whereas minimum antibacterial activity (23±0.33 mm and 22±0.33 mm) was shown when 45 µl of plant extract combined with 5 µl of copper ions, when evaluated against Paenibacillus popilliae. An increase of 187.5% and 12.55% (least) was observed in aqueous and ethanolic extracts of Curcuma longa on supplementation of copper metal ions.Conclusion: The results suggest that crude extracts from these plants can be used for therapeutic purposes as they possess potent antibacterial properties due to the presence of various phyto chemicals in them. The aqueous plant extracts showed enhanced activity in conjugation with copper metal ions against food spoilage bacteria as compared to ethanolic plant extracts.Â

    Analytical Performance Comparison of BNP Scheduling Algorithms

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    Parallel computing is related to the application of many computers running in parallel to solve computationally intensive problems. One of the biggest issues in parallel computing is efficient task scheduling. In this paper, we survey the algorithms that allocate a parallel program represented by an edge-directed acyclic graph (DAG) to a set of homogenous processors with the objective of minimizing the completion time. We examine several such classes of algorithms and then compare the performance of a class of scheduling algorithms known as the bounded number of processors (BNP) scheduling algorithms. Comparison is based on various scheduling parameters such as makespan, speed up, processor utilization and scheduled length ratio. The main focus is given on measuring the impact of increasing the number of tasks and processors on the performance of these four BNP scheduling algorithms
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