The perinatal and maternal outcome in pregnancy with advanced maternal age 35 years and >35 years

Background: Purpose of this study is to evaluate maternal and perinatal outcome in advanced maternal age women. As numbers of pregnancies in advanced maternal age continue to grow, obstetric care provider would benefit from up to date outcome data to enhance their preconceptional and antenatal counseling.Methods: It is observational prospective analytic study, conducted in Nowrosjee Wadia maternity hospital, Parel, Mumbai. Total 100 patients were included in study, fulfilling inclusion criteria over period of 1 year.Results: In 100 patients, most common cause of delay conception is infertility (27%). 24% of patients conceived after treatment. out of 100 patients 23% of patients had pre-existing medical and surgical disorders, 50% developed complications in pregnancy. Out of 100 patient 58 patients undergone through biochemical study, 3 patients had high risk for chromosomal disorders. The rate of caeasarean section in our study is 68%. Perinatal mortality and morbidity is high in our study, rate of preterm delivery is 23.7%. Out of 105 babies (including multiple gestation), 42.8% babies are low birth weight out of which 9.5% babies are very low birth weight. Rate of NICU admission is 33%, perinatal mortality rate, neonatal mortality rate and still birth rate is 19.4 per 1000 births. Advanced maternal age is related to high maternal and perinatal morbidity and mortality rate.Conclusions: Pregnancies in women of advanced maternal age are considered high risk for Perinatal and maternal morbidity and mortality. A proper preconception consultation and intensive antenatal care assessment can individualize and potentially reduce the risks for women with advanced maternal age

Evaluation of Daylight Parameters on the Basis Simulation Model For the Tropical Climate

Use of natural daylight in the building is energy saving with respect to illumination levels and health benefits. However in, the hot and dry climatic zone increase in daylight availability may result into thermal ingress. This might lead to excess energy conservation. The aim of this paper is to evolve the methodology which could be used as a pre design tool for assessing the lighting provisions and thermal performance of spaces within buildings adopted by designers during the design process. The field measurements were conducted on the liveable spaces of a dwelling unit of the Nagpur region. Simulation studies using Ecotect Analysis 2011 was conducted for both illumination and thermal energy. The field measurements were compared with the simulated results. It has been found that the percentage difference (PD) between the Ecotect measurements (EM) and field measurements (FM) for both thermal loads and an illuminance level was less than 15%, the simulated model was considered precise for further study. The result imply that the simulated model would be ample for designers to evaluate the parameters associated to wall to window ratio, shading devices with respect to orientation of the building which helps to achieve the optimum useful daylight index

Fusion of Text and Image in Multimedia Information Retrieval System

Multimedia Information Retrieval is very useful for any application in our daily work. Most of the applications consist of Multimedia data that are images, text, audio and video. Multimedia information retrieval system is used to search an image. There are same meanings for different data which is also known as semantic gap. This problem is solved by fusion of text based image retrieval and content based image retrieval. Weighted Mean, OWA and WOWA are aggregation operators used in this system for the fusion of text and image numeric values. The Scale invariant feature transforms and speeded up robust feature are two algorithms for feature extraction. To increase the speed of system, the speeded up robust feature algorithm is used. Bag of Words and Bag of Visual Word approaches are used in this system for retrieving images. DOI: 10.17762/ijritcc2321-8169.15066

Implementing Clinical Decision Support System Using Naïve Bayesian Classifier

To speed up the diagnosis time and improve the diagnosis accuracy in today’s healthcare system, it is important to provide a much cheaper and faster way for diagnosis. This system is called as Clinical Decision Support System (CDSS). With various data mining techniques being applied to assist physicians in diagnosing patient diseases with similar symptoms, has received a great attention now a days. The advantages of clinical decision support system include not only improving diagnosis accuracy but also reducing diagnosis time. In this paper, the data mining technique name Naïve Bayesian Classifier, which offers many advantages over the traditional methods of data mining is used that opens a new way for clinicians to predict patient’s diseases. As the system is built on the sensitive data for patient privacy it is necessary to add some features that meets the security requirement. Specifically, with large amounts of data related to healthcare is generated every day, the classification can be utilized to excavate valuable information that improve clinical decision support system. Here the fuzzywuzzy string matching algorithm of naïve bayesian classifier is used to perform prediction from large number of symptoms data. The Result analysis perform in the last section on live data of five patient gives that by using proposed technique we try to make the Clinical Decision Support System more helpful for providing diagnosis of deceases more accurately and efficiently

Comparison of clonidine and fentanyl as an adjuvant to bupivacaine in unilateral spinal anaesthesia

Background: Various adjuvants to local anaesthetics are added to improve the quality of subarachnoid block in unilateral anaesthesia during lower limb surgeries. The present study was conducted with the aim to evaluate the efficacy of combination of clonidine-bupivacaine and fentanyl-bupivacaine.Methods: This randomized study was conducted on 60 patients at tertiary care center (Topiwala National Medical College, Mumbai) for 2 years. They were divided into 2 groups consisting of 30 in each. Group BC receives Inj. bupivacaine 0.5% (hyperbaric) 7.5 mg (1.5 ml) with inj. clonidine 15 µg (0.1 ml) intrathecally and Group BF receives Inj. bupivacaine 0.5% (hyperbaric) 7.5 mg (1.5 ml) with inj. fentanyl 15 µg (0.3 ml) intrathecally. The time of onset and duration and level of sensory and motor block, time to complete sensory and motor block recovery and duration of spinal anaesthesia, intraoperative and postoperative hemodynamics and side effects if any were noted.Results: The time of onset and duration of sensory and motor block was lesser in group BF compared to BC but the difference was statistically not significant (p>0.05). Duration of analgesia was also higher in group BF. Intraoperative and postoperative changes in hemodynamic parameters, oxygen saturation, and respiratory rate were comparable, and no significant changes are observed, and all are with in normal range (p<0.05). Pruritus was noticed in group BF (10%). None of the patient in both groups show any side effects such as respiratory depression and nausea, vomiting.Conclusions: We conclude that addition of fentanyl and clonidine to hyperbaric bupivacaine produces almost similar effect in unilateral spinal anaesthesia for lower limb surgery without prolonged motor blockade, haemodynamic instability, respiratory depression and nausea and vomiting with good sedation and postoperative analgesia. Although the incidence of pruritus is more with fentanyl, it is not distressing for patients

Harvesting Image Databases from The Web

The research work presented here includes data mining needs and study of their algorithm for various extraction purpose. It also includes work that has been done in the field of harvesting images from web. Here the proposed method is to harvest image databases from web. We can automatically generate a large number of images for a specified object. By applying concept of data mining and the algorithm from data mining which is used for extraction of data or harvesting images. A multimodal approach employing text ,metadata and visual  features is used to gather many high-quality images from the web. The modules can be made to find query images by selecting images where nearby text is top ranked by the topic i.e., formation of image clusters then download associate images by using approaches like web search, image search and Google images. Apply re-ranking algorithm and then filtering process to harvest the images.Currently, image search gives a very low precision (only about 4%) and is not used for the harvesting experiments. Since the movements of the technologies are growing rapidly the kinds of work also need to be grown up. This work shows an approach to harvest a large number of images of a particular class automatically and to achieve this with high precision by providing training databases so that a new object model can be learned effortlessly. Many other tools also are available for harvesting images from web .An approach in this paper is original and up to the mark. Keywords: Legacy code, re-engineering, class diagrams, Aggregation, Association, Attribute

A polymorphism in a let-7 microRNA binding site of KRAS in women with endometriosis.

Endometriosis is found in 5-15% of women of reproductive age and is more frequent in relatives of women with the disease. Activation of KRAS results in de novo endometriosis in mice, however, activating KRAS mutations have not been identified in women. We screened 150 women with endometriosis for a polymorphism in a let-7 microRNA (miRNA) binding site in the 3'-UTR of KRAS and detected a KRAS variant allele in 31% of women with endometriosis as opposed to 5% of a large diverse control population. KRAS mRNA and protein expression were increased in cultured endometrial stromal cells of women with the KRAS variant. Increased KRAS protein was due to altered miRNA binding as demonstrated in reporter assays. Endometrial stromal cells from women with the KRAS variant showed increased proliferation and invasion. In a murine model, endometrial xenografts containing the KRAS variant demonstrated increased proliferation and decreased progesterone receptor levels. These findings suggest that an inherited polymorphism of a let-7 miRNA binding site in KRAS leads to abnormal endometrial growth and endometriosis. The LCS6 polymorphism is the first described genetic marker of endometriosis risk

A critical review of Vrischik Visha (Scorpion) with special reference to Brihataryee

In Ayurveda the branch Agad Tantra deals with the knowledge of different types of poison of animal or plant origin. It also deals with the origin, types, signs and symptoms and management of poisoning resulting from the bites of Sarpa (snake), Mushika (rodents), Kita (insects) and Luta (spider). Vrischik is said to be oldest poisonous creature on the earth. Among 800-1000 species, 30 species are lethal to humans. Due to scorpion bite (Vrischik Damsha) causality of life is very less, but it causes local pain, inflammation, oedema and redness of skin. Almost all Ayurvedic Samhita explain various variety of Vrischik based on its origin, structure, its sting effects, complications and their treatment, so here an effort is made to see the review of Vrischik w.s.r. to Brihatrayee (i.e., Charak Samhita, Shusruta Samhita, Astanga Hridayam, Astangam Samghram)

Studies on Characteristic of Extracellular L–Glutaminase and Identification of L-Glutaminase Producing Bacterial Strain from Cattle Feeding Farm of Chhatrapati Sambhajinagar, Maharashtra State, India

L-glutaminase is gaining marked importance due to its potential clinical applications. A variety of microorganisms, including bacteria, yeast, and lamentous fungi, from soil habitat have been reported to produce L-glutaminase. The present investigation was carried out to isolate and screening of L-glutamiase producing bacteria from soil samples of cattle feeding sites. Among twenty three soil samples of cattle feeding farms around Aurangabad, nineteen bacteria’s were isolated. From that one isolate (AGT-19) that showed significant L-glutaminase activity. Morphological characteristics and 16S rRNA sequencing were used for phylogenetic analysis to identified strain AGT-19 as Kurthia gibsonii. Moreover, Kurthia gibsonii was grown in a medium containing 2.5% succinate and 2.5% L-glutamine showed significant activity of L-glutaminase (0.079 U/mg). The optimum conditions for L-glutaminase production were temperature was 39°C and pH was 7.0. The present isolation of K. gibsonii from cattle feeding site indicated that this bacterium is suitably adapted to the environment of excretion and to point of forming a microbiota in the fecal product. It revealed that soil of cattle feeding farm has diverse bacterial strains and its habitat nature allowed the bacteria expressed the protease activity