Total dose infusion of fractionated iron dextran complex in management of anaemia in antenatal cases

Background: Iron deficiency anemia is common clinical manifestation in pregnancy. It can be easily prevented or corrected by early diagnosis and proper treatment successfully. This study was done to know the efficacy, effectiveness, rise in hemoglobin level and adverse effects of newly available low molecular weight iron dextran complex.Methods: A prospective clinical trial was conducted in randomly selected 50 antenatal women who attended the OPD of OBG department and were moderately anemic and fulfilled the inclusion criteria of the studyResults: All the 50 women were moderately anemic with hemoglobin level between 7-9 gm%. After total dose infusion of low molecular weight fractionated iron dextran complex, hemoglobin level was measured at 4 weeks and at term. The mean hemoglobin level rose to 9.5 gm/dl by 4 weeks after infusion and to 11.53 gm/dl at term, which was statistically significant (p<0.0001). Only one patient developed non-cardiac chest pain during the test dose and two patients developed urticaria during total dose infusion.Conclusion: The study showed a statistically significant increase in hemoglobin level after total dose infusion of low molecular weight iron dextran complex with a good safety profile and minimal hospital stay

Molecular detection and characterization of phytoplasma associated with China aster (Callistephus chinensis) phyllody in India

China aster (Callistephus chinensis L.) is one of the most popular annual flowering plant grown through-out the world. Phyllody disease of China aster is a phytoplasma associated disease that induces severe economic losses. Phytoplasmal disease in China aster was assessed for phytoplasma by direct polymerase chain reaction primed by using phytoplasma universal primer pairs PI/P7. A 1.8 Kb DNA fragments encoding the portion of phyto-plasma 16SrDNA amplified by PCR was cloned and sequenced. Sequencing of the PCR product and BLAST analy-sis indicated that China aster phyllody phytoplasma strain shared maximum sequence identity (99%) with strains of Peanut Witches’ broom (16SrII) phytoplasma group. Phylogenetic relationship of 16SrDNA sequence of China aster phyllody phytoplasma strain in the present study confirmed association of Peanut Witches’ broom (16SrII) group of phytoplasmas with China aster phyllody disease in India

Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries

With advanced image journaling tools, one can easily alter the semantic meaning of an image by exploiting certain manipulation techniques such as copy-clone, object splicing, and removal, which mislead the viewers. In contrast, the identification of these manipulations becomes a very challenging task as manipulated regions are not visually apparent. This paper proposes a high-confidence manipulation localization architecture which utilizes resampling features, Long-Short Term Memory (LSTM) cells, and encoder-decoder network to segment out manipulated regions from non-manipulated ones. Resampling features are used to capture artifacts like JPEG quality loss, upsampling, downsampling, rotation, and shearing. The proposed network exploits larger receptive fields (spatial maps) and frequency domain correlation to analyze the discriminative characteristics between manipulated and non-manipulated regions by incorporating encoder and LSTM network. Finally, decoder network learns the mapping from low-resolution feature maps to pixel-wise predictions for image tamper localization. With predicted mask provided by final layer (softmax) of the proposed architecture, end-to-end training is performed to learn the network parameters through back-propagation using ground-truth masks. Furthermore, a large image splicing dataset is introduced to guide the training process. The proposed method is capable of localizing image manipulations at pixel level with high precision, which is demonstrated through rigorous experimentation on three diverse datasets

Ferrock: A Carbon Negative Sustainable Concrete

In this fast-growing world, people are focusing on the infrastructural development, where construction sector plays an important role. Cement is the most prominent material being used in construction that emits approximately 6-8% of the total carbon dioxide in the world during its production which is the major constituent of global warming. Thus, focusing on the carbon emission reduction and also utilization of the waste products for a better environment, a product named Ferrock was constituted. This paper is a review over a product that is stepping towards carbon negativity and waste management. It shows the best usage of iron ore waste powder obtained during the mining process that is just dumped away from the mines, causing air pollution, health hazards and also consuming larger area. The product indirectly reduces the carbon dioxide released by its unique strength gaining mechanism, which is in contrary with that of the cement and thus stands out among many other supplements of cement. Ferrock involves a curing process with carbonation and air curing in varied number of days for better strength in terms of compression, tensile strengths and achieving desirable properties. Ferrock is thus a more promising eco friendlier binding material in terms of its carbon negativity and in best usage of the waste

The age and mode of presentation of benign prostatic hyperplasia at Hubli in Karnataka

Background: The peculiarities of the prostate are that in old age when most of organ regresses in size it enlarges and causes trouble. By virtue of its position, it guards outlet of urinary bladder. It must be admitted that even today the extent nature of etiology, pathogenesis and diagnosis are all-debatable. Therefore, the present study was aimed at elucidating the age and mode of Benign Prostatic Hyperplasia among the patients in and around Hubli, Karnataka.Methods: The study was conducted after the institutional ethical committee approval and written informed consent from all the patients. 21 cases of BPH were included in the present study. The signs and symptoms of mode of presentation were recorded. The urine was examined for the presence of albumin, pus cells, epithelial cells and RBCs.  Results: The maximum incidence of the disease was in the age group of 60-69 years. Majority of the patients had difficulty in micturition followed by increased frequency of micturition both during day and night Patient with retention usually had distension of bladder. These patients complained of dull aching pain in the suprapubic area and in the groin region. Burning micturition (14.28%), dribbling of urine (4.76%), urgency (4.76%), and haematuria (4.76%) were present. Routine urine examination showed albumin (28.56%), pus cells (23.80%), epithelial cells (19.04%) and haematuria (4.76%).  Conclusion: Incidence of BPH at Hubli region of Karnataka is 0.3001% of total hospital admission. The maximum age incidence of BPH is in the age group of 60-69 years. Majority of the patients had difficulty in micturition increased frequency of micturition both during day and night a large number of cases show association with presence of urinary tract infection.

NN^k networks for Content-Based Image Retrieval

This paper describes a novel interaction technique to support content-based image search in large image collections. The idea is to represent each image as a vertex in a directed graph. Given a set of image features, an arc is established between two images if there exists at least one combination of features for which one image is retrieved as the nearest neighbour of the other. Each arc is weighted by the proportion of feature combinations for which the nearest neighbour relationship holds. By thus integrating the retrieval results over all possible feature combinations, the resulting network helps expose the semantic richness of images and thus provides an elegant solution to the problem of feature weighting in content-based image retrieval.We give details of the method used for network generation and describe the ways a user can interact with the structure. We also provide an analysis of the network’s topology and provide quantitative evidence for the usefulness of the technique

ALGORITHMS FOR CONSTRUCTING EDGE MAGIC TOTAL LABELING OF COMPLETE BIPARTITE GRAPHS

The study of graph labeling has focused on finding classes of graphs which admits a particular type of labeling. In this paper we consider a particular class of graphs which demonstrates Edge Magic Total Labeling. The class we considered here is a complete bipartite graph Km,n. There are various graph labeling techniques that generalize the idea of a magic square has been proposed earlier. The definition of a magic labeling on a graph with v vertices and e edges is a one to one map taking the vertices and edges onto the integers 1,2,3,………, v+e with the property that the sum of the label on an edge and the labels of its endpoints is constant independent of the choice of edge. We use m x n matrix to construct edge magic total labeling of Km,n

Comparative study (II): On the longevity of pupa and adult moths in selected few bivoltine purelines of silkworm Bombyx mori (L) in all the seasons of the year.

A comparative study utilizing the six multivoltines, in three seasons of the year between pupal and adult moth stage of silkworm of reveals a positive significance. Pupal duration was calculated after chrysalis stage among six multivoltines clearly indicated that the duration of pupae in the pre race is lowest where as the Daizo race exhibited the longest pupal duration of 240 hours. Silkworm adult life span evaluated in three seasons in the two sexes (male moth and female moth) it is clear that race pre exhibited shortest adult life span of 84 hours in mated males and 114 hours in mated females during pre-monsoon period and Daizo race revealed prolonged adult life span 222 hours in unmated males and 242 hours in unmated females during post-monsoon period. In the present studies among the two sexes, the unmated (virgin) male and females moths exhibited the longest life span than those of mated male and female moths. The influence of three seasons on adult life span is very clear from the experiment. The effect of pre-monsoon is more conspicuous (revealing short lifespan) where as in post-monsoon season lifespan is longest both in the pupal and adult. The results obtained from the present studies clearly demonstrate that racial differences, seasonal impact and sex wise differences are important in the expression of adult longevity

Iliac wing osteochondroma in a 16-year-old boy: a case report

Osteochondroma is the most common benign bone tumour. Commonly seen in the long bones of the lower extremity. Ilium is a rare site. We present a 16-year-old boy with swelling in the right groin for 8 months. After clinical and radiological evaluation, it was diagnosed as osteochondroma of right iliac wing. Patient underwent en-bloc excision of the lesion and histopathology confirmed the diagnosis. Pelvic osteochondroma is a rare entity but not unusual. Extra periosteal en-bloc excision is the management of choice in patients with cosmetic deformity, neurovascular compression and malignant transformation with very low recurrence rate

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in detecting cloning and region removal. In this paper, we combine these complementary approaches in a way that boosts the overall accuracy of image manipulation detection. We use the copy-move detection method as a pre-filtering step and pass those images that are classified as untampered to a deep learning based resampling detection framework. Experimental results on various datasets including the 2017 NIST Nimble Challenge Evaluation dataset comprising nearly 10,000 pristine and tampered images shows that there is a consistent increase of 8%-10% in detection rates, when copy-move algorithm is combined with different resampling detection algorithms