Obstetric outcome in pregnancy complicated by ovarian cysts

Background: Ovarian masses are diagnosed in 0.5-1% pregnancies. During pregnancy ovarian cysts can undergo: resolution of the cyst, change of ultrasound pattern, occurrence of ovarian torsion and intra-cystic haemorrhage or rupture. Ovarian masses (esp torsion) is a cause of pain abdomen during pregnancy. The choice of treatment is mainly conservative, provided the patient is asymptomatic. Dilemma in management arises when the patient is symptomatic. Optimal timing for a planned surgery is the second trimester as it is shown to have least neonatal outcome. The objective of this study was to evaluate management options for ovarian cyst in pregnancy and its effect on outcome of pregnancy.Methods: This study was conducted for 2 years from June 2014 to June 2016, at RL Jalappa Hospital, Kolar. A total of 46 pregnant women were included. The pregnancy outcome and the management used were studied. Also studied were the complications most likely to occur in pregnancies complicated by ovarian masses ovarian masses.Results: Out of 46 patients, 2 (4.3%) patients with ovarian cyst torsion underwent emergency laparotomy. 8 patients underwent surgery (6 in 2nd trimester and 2 at term) for various complications. Only one patient had miscarriage and remaining patients continued till term. Histopathological report of all the masses excised were obtained and 6 were reported to be benign serous cystadenomas,1 benign mucinous cystadenoma and 3 simple cysts.Conclusions: Optimal management for ovarian cyst is conservative in pregnancy provided patient remain asymptomatic and characteristic of cyst are consistent with benign pathology. Surgical management is to be reserved for symptomatic patient

In vitro propagation of Aloe barbadensis Miller, a miracle herb

Aloe vera has valuable medicinal properties and is commercially used inpharmaceutical, cosmetic and food industries. An efficient micro propagation method hasbeen developed in Aloe vera plants using the shoot tip explants cultured on MS mediumwith different phyto hormonal supplements for shoot proliferation and rooting. Theshoot proliferation was found best (80%) in the MS medium containing Benzyl aminopurine (BAP) 2.0 mg/L. Seventy percent of adventitious root formation was observed inhalf strength MS medium supplemented with Indole butyric acid (IBA). After two weeks,in vitro grown plants were transferred to the poly-cups containing 1:1 ratio of soil an

In vitro propagation of Banana (Musa sp - Rasthali variety) from sword suckers for its commercial production

Banana is the fourth most important fruit crop, in the world as well as in India. In vitro propagation of bananas provided excellent advantages, including a high multiplicationrate, physiological uniformity and the availability of disease-free material all round the year, faster growth in the earlier stages in comparison with conventional plants. An efficient micropropagation method has been developed in banana plants using the sword sucker explantscultured on MS medium with different phyto hormonal supplements for shoot and rootproliferation. The shoot proliferation was found best (80%) in the MS medium containing Benzylaminopurine (BAP) 2.0 mg/l. Maximum percent of adventitious root formation wasobserved in half strength MS medium supplemented with Indole butyric acid (IBA)1.5mg/land Napthalene acetic acid (NAA) 1.0mg/l. After three weeks, in vitro grown plants weretransferred to the poly-cups containing 1:1 ratio of soil and sand respectively for hardening and then transferred to garden in which showed 75% survival efficiency. In the present studya simple two step protocol was established using MS medium with 2.0mg/l for shoot proliferation and 1.5mg/l IBA + 1.0 mg/l NAA for rooting in banana. This protocol might beused for the massive in vitro production of the plantlets of banana

An Optimized Deep Learning Based Optimization Algorithm for the Detection of Colon Cancer Using Deep Recurrent Neural Networks

Colon cancer is the second leading dreadful disease-causing death. The challenge in the colon cancer detection is the accurate identification of the lesion at the early stage such that mortality and morbidity can be reduced. In this work, a colon cancer classification method is identified out using Dragonfly-based water wave optimization (DWWO) based deep recurrent neural network. Initially, the input cancer images subjected to carry a pre-processing, in which outer artifacts are removed. The pre-processed image is forwarded for segmentation then the images are converted into segments using Generative adversarial networks (GAN). The obtained segments are forwarded for attribute selection module, where the statistical features like mean, variance, kurtosis, entropy, and textual features, like LOOP features are effectively extracted. Finally, the colon cancer classification is solved by using the deep RNN, which is trained by the proposed Dragonfly-based water wave optimization algorithm. The proposed DWWO algorithm is developed by integrating the Dragonfly algorithm and water wave optimization

Conventional and Molecular Breeding Approaches for Biofortification of Pearl Millet

Pearl millet [Pennisetum glaucum (L.) R. Br.] is an essential diet of more than 90 million people in the semi-arid tropics of the world where droughts and low fertility of soils cause frequent failures of other crops. It is an important nutri-rich grain cereal in the drier regions of the world grown on 26 mha by millions of farmers (IFAD 1999; Yadav and Rai 2013). This makes pearl millet the sixth most important crop in the world and fourth most important food crop of the India, next to rice, wheat, and maize with annual cultivation over an area of ~8 mha. Pearl millet is also primary food crop in sub-Saharan Africa and is grown on 15 mha (Yadav and Rai 2013). The significant increase in productivity of pearl millet in India is attributed to development and adoption of hybrids of early to medium duration maturity. More than 120 diverse hybrids/varieties have been released till date for various production environments. The heterosis breeding and improved crop management technologies increased productivity substantially achieving higher increased production of 9.80 mt in 2016–2017 from 2.60 mt in 1950–1951 in spite of declined of area under the crop by 20–30% over last two decades (Yadav et al. 2012)