Response of Two Sunflower (Helianthus Annuus L.) Genotypes to Va-mycorrhizal Inoculation and Phosphorus Levels

The performance of two sunflower genotypes (Morden and MSFH-8) with and without VA-mycorrhizal fungi at three P levels (38, 56 and 75 kg P2O5 ha-1) in vertisol of Dharwad was studied to determine the effect of mycorrhizal inoculation on plant growth, yield and P uptake. The results showed that the VAM inoculation increased sunflower yield (14%), total biomass (16%), oil content (3.1%) and P uptake (30.5%) over uninoculated control. The percent root colonization and chlamydo-spore count decreased with increasing P levels. The total biomass production, seed yield and P uptake of mycorrhizal plants at 38 kg P2O5 ha-1 more than the non-mycorrhizal plants at 75 kg P2O5 ha-1. The biomass and seed yield of mycorrhizal plants at same P level were more than the non-mycorrhizal plants. Mycorrhizal plants of Morden at 38 kg P2O5 ha-1 and MSFH-8 at 56 kg P2O5 ha-1 produced higher seed yield, oil content and total biomass than non-mycorrhizal plants supplied with 75 kg P2O5 ha-1. The results indicated that, VA-mycorrhizal inoculation helps in saving 25 and 50 percent of recommended dose of phosphatic fertilizer (75 kg P2O5 ha-1) in MSFH-8 (single cross hybrid) and Morden (open pollinated variety), respectively

Life threatening severe Influenza A Virus (H1N1) infection in Pregnancy

ABSTRACT: H1N1 influenza is an emerging threat that is life threatening to pregnant women in the third trimester. Pregnant women are a high-risk group for morbidity and mortality from influenza (H1N1). During the current pandemic of H1N1 influenza, few cases of H1N1 have been reported in pregnancy. We report a case of H1N1 influenza in a 23-year old female with 28 weeks of gestation, who developed acute respiratory distress syndrome, required mechanical ventilation and eventually recovered. KEYWORDS: H1N1; Acute Respiratory Distress Syndrome; Pregnancy; InfluenzaInternet Journal of Medical Update 2012 January;7(1):73-7

Review of code blue system and audit

Background: Code Blue systems are communication systems that ensure the most rapid and effective resuscitation of a patient in respiratory or cardiac arrest. Code blue was established in Bharati Hospital and Research Centre in Sept 2011 in order to reduce morbidity and mortality in wards. The aim of the study was to evaluate the current code blue system and suggest possible interventions to strengthen the system.Methods: It was retrospective observational descriptive study. The study population included all consecutive patients above the age of 18 years for whom code blue had been activated. Data was collected using code blue audit forms. The data was analysed using SPSS (Statistical Package for social sciences) software.Results: A total of 260 calls were made using the blue code system between September 2011 to December 2012. The most common place for blue code activation was casualty. The wards were next, followed by dialysis unit and OPD. The indications for code blue team activation were cardio-respiratory arrest (CRA) (88 patients, 33.84%), change in mental status (52 patients, 20%), road traffic accidents RTA (21, 8.07%), convulsions (29 patients 11.15%), chest pain (19 patients, 8.46%), breathlessness (18 patients,6.92%) and worry of staff about the patient (17 patients, 6.53%), presyncope (10 patients, 3.84%), and others (6 patients, 2.30%). The average response time was 1.58±0.96 minutes in our study. Survival rate was more in medical emergency group 46.15% than in CRA group 31.61%. Initial success rate was 35.2% and a final success rate was 34.6%.Conclusions: Establishment of code blue team in the hospital enabled us to provide timely resuscitation for patients who had “out of ICU” CRA. Further study is needed to establish the overall effectiveness and the optimal implementation of code blue teams. The increasing use of an existing service to review patients meeting blue code criteria requires repeated education and a periodic assessment of site-specific obstacles to utilization

Malignancy within a tail gut cyst:a case of retrorectal carcinoid tumour

Purpose. Tailgut cysts with malignant transformation are rare entities. We discuss the diagnostic strategy and treatment of a malignancy within a tailgut cyst. Methods. In this study we report on the case of a 61-year-old man with a malignant neuroendocrine tumour arising within a tailgut cyst and an overview of the literature emphasising the histopathological characteristics and differential diagnosis. Results. Our patient presented with lower back pain, rectal pain, and increased urgency of defecation. MRI scan and CT-guided biopsy on histological analysis revealed a diagnosis of carcinoid tumour of the presacral space. The patient subsequently underwent an abdominoperineal excision of the rectum. Conclusions. This case highlights the importance of tailgut cysts as a differential diagnosis of presacral masses. It is a rare congenital lesion developing from remnants of the embryonic postanal gut and is predominantly benign in nature. Approximately half of cases remain asymptomatic; therefore, diagnosis is often delayed. Magnetic resonance imaging is the investigation of choice and an awareness of the possibility of malignant potential is critical to avoiding missed diagnosis and subsequent morbidity. Complete surgical excision allows accurate diagnosis, confirmation of oncological clearance, and prevention of mortality

Existence and Uniqueness Results for Difference Φ-Laplacian Boundary Value Problems

This paper is devoted to study the existence and uniqueness of solutions to nonlinear difference Φ-Laplacian boundary value problems with mixed and Dirichlet boundary conditions

EFFECTIVE MANAGEMENT OF ODONTOGENIC INFECTIONS THROUGH CONTROLLED FASHION BY POLYMERIC DEVICE CONTAINING MOXYFLOXACIN

Objective: Present work demonstrates the use of film that releases the drug at a pre-programmed manner. Several methods have been explored for management of moxifloxacin in dealing of Odontogenic infections which are mainly caused by necrotic pulp or by bacterial invasion from the periodontal tissue. These are usually mixed bacterial infections, and they penetrate mostly into the soft and bony oromaxillofacial tissues to produce submucosal infiltrates and abscesses.Methods: The films were developed with the intention to minimize the dose of a drug, to deliver definite concentration and to preserve dosage at its site for a longer period by this means gets a better patient compliance. Moxifloxacin films were prepared by solvent casting technique using gellan gum at different concentrations and PEG 400 as plasticizers. Compatibility study such as FT-IR and DSC also performed to check the interaction between drug and excipients used. The formulations were evaluated for their thickness, weight uniformity, folding endurance, content uniformity, surface pH, In vitro drug release. Optimized formulations were subjected to in vitro antibacterial activity and stability studies to assess the effectiveness of the formulations.Results: Formulations shown the good uniformity of drug content, there was no any kind of effect on moisture loss test. Weight and thickness of the films were found to be uniform. Plasticizer like PEG400 was found to influence their effect on drug release as well as characteristics of films.Conclusion: In vitro studies revealed that the formulations provide the best alternative to prolong drug release at the end of 10 h and formulations remained stable with intact at ambient conditions.Â

CASE REPORT: Chorangiophagus Parasiticus: A Rare Case Report

Malformations are common in twin pregency compared to singleton pregnancy. One such rare anomaly is Chorangiophagus parasiticus also known as twin to twin transfusion which is an asymmetric abnormality of monozygotic twins, where asymmetric twin survive by parasitisizing normal twin. It’s a rare condition with an incidence of 1 in 35.000 deliveries. We report such a case with complete autopsy findings

Performance and study of variousbridge girders

According to various research papersthe design and analysis of various girders for steel and concrete by using v software STAAD Pro. And finite element method. In this project  theto check the analysis of bridge by using software. Hence, in this project determine the static analysis of T, I and Box girder. In these three girders which can be determine which is effective and economical to bridges.Both models are subjected to I.R.C. Loadings to produce maximum bending moment

AlertNet: Deep convolutional-recurrent neural network model for driving alertness detection

Drowsy driving is one of the major problems which has led to many road accidents. Electroencephalography (EEG) is one of the most reliable sources to detect sleep on-set while driving as there is the direct involvement of biological signals. The present work focuses on detecting driver’s alertness using the deep neural network architecture, which is built using ResNets and encoder-decoder based sequence to sequence models with attention decoder. The ResNets with the skip connections allow training the network deeper with a reduced loss function and training error. The model is built to reduce the complex computations required for feature extraction. The ResNets also help in retaining the features from the previous layer and do not require different filters for frequency and time-invariant features. The output of ResNets, the features are input to encoder-decoder based sequence to sequence models, built using Bi-directional long-short memories. Sequence to Sequence model learns the complex features of the signal and analyze the output of past and future states simultaneously for classification of drowsy/sleepstage-1 and alert stages. Also, to overcome the unequal distribution (class-imbalance) data problem present in the datasets, the proposed loss functions help in achieving the identical error for both majority and minority classes during the raining of the network for each sleep stage. The model provides an overall-accuracy of 87.92% and 87.05%, a macro-F1-core of 78.06%, and 79.66% and Cohen's-kappa score of 0.78 and 0.79 for the Sleep-EDF 2013 and 2018 data sets respectively