The Evolution of the Arts: Kuravanchi Dance Drama

No matter or energy can be created or destroyed. The law of physics is that it can only be transformed into another object or energy. It applicable to the arts also. Art can never suddenly emerge anew. It is influenced by different arts over a while and takes on the appearance of another art based on needs. Therefore, Evolution is the development of another art under the influence of other arts. Thus, the literary art of Kuravanchi has evolved into the art of drama coupling with the arts of music and dance. The purpose of this article is to analyze the organization of the Kuravanchi dance dramas and to observe whether the traces of the above arts can be found in them

Feature Extraction Methods by Various Concepts using SOM

Image retrieval systems gained traction with the increased use of visual and media data. It is critical to understand and manage big data, lot of analysis done in image retrieval applications. Given the considerable difficulty involved in handling big data using a traditional approach, there is a demand for its efficient management, particularly regarding accuracy and robustness. To solve these issues, we employ content-based image retrieval (CBIR) methods within both supervised , unsupervised pictures. Self-Organizing Maps (SOM), a competitive unsupervised learning aggregation technique, are applied in our innovative multilevel fusion methodology to extract features that are categorised. The proposed methodology beat state-of-the-art algorithms with 90.3% precision, approximate retrieval precision (ARP) of 0.91, and approximate retrieval recall (ARR) of 0.82 when tested on several benchmark datasets

Leveraging network using controlled weight learning approach for thyroid cancer lymph node detection

Identification of cervical metastatic lymph nodes (LN) on I-131 post-ablation whole-body planar scans (WBS) for cancer staging is crucial for patients with papillary thyroid cancer (PTC). The existing deep network is plagued by instability in finding the under-represented LN classes on highly complex WBS, where end-to-end tuned models that can account for this uncertainty region for multi-class locations are needed. Hence, as a key contribution of this study, we designed a novel leveraging segmentation network with input guidance (LSIG) end-to-end training model without pre and post-processing features that can learn ideal parameter settings depending on the quantity of multiple-object instances. To improve the co-occurrence of classes and control the false positive regions, we proposed a re-weighting negative control (RNC) mechanism that combines two key components, namely the re-weighting (Rw) term and the negative control function (NcF). This unified approximation of weighted training would leverage the network to control and learn the desired weights of true positives towards the LN region. As an end-to-end network training, we utilize a Unet-like convolution neural network (CNN) model. The performance of the LSIG is compared with the CNN-based networks, based on the ground truth (GT) mask developed using post-ablation single-photon emission computed tomography (SPECT/CT). Furthermore, the effectiveness of the two components used in the LSIG framework is evaluated on WBS datasets. Our proposed LSIG with a fully guided (Fg) LS-FgCNN model yielded a superior performance with high AUC value of 94.9%, which is 14.6% higher than the previous network for PTC

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Not AvailableHeavy mortality in cage farmed cobia in the southeast coast of Tamil Nadu occurred during the summer of 2016 was investigated. About 60 per cent of the fish died following a few days of high temperature and low wind in the coastal region. The fish had an average size of 27.5 cm length and 200 g weight. The affected fish had focal erythematous lesions on the ventral distended abdomen, peritoneal serosanguinous fluid accumulation, splenomegaly and swollen kidney. Bacteriological examination of the peritoneal fluid, kidney and spleen revealed the presence of Gram negative short rods in large numbers. The bacteria grew as green colonies on thiosulphate citrate bile salt sucrose agar. The tissues were also screened for the presence of nervous necrosis nodavirus by PCR and cell culture but did not yield positive result. The bacterial strains isolated from the tissues were identified as Photobacterium damselae sub sp. damselae using API 20 E microbial identification kit. The species was confirmed by multiplex PCR for 16S rRNA and urease gene. Sequence analysis of 16S rRNA showed 99 per cent homogeneity with P. damselae subsp. damselae. One of the isolates was used for the pathogenicity study in sea bass fingerlings. The experimental infection was done by intraperitoneal administration of 50 micro liters of two dilutions of the culture at 4.2 ×10 raised to the power 5 and 4.2×103 cfu per fish. The experiment revealed that the bacteria were highly pathogenic to seabass and could induce 100 per cent mortality in 36 h. The same bacteria were re-isolated from kidney sample of moribund fish and were confirmed as Pdd with API test kits and 16S rRNA sequencing. The isolates were also screened for the presence of virulence genes.Not Availabl

Increased male live-birth rates after blastocyst-stage frozen-thawed embryo transfers compared with cleavage-stage frozen-thawed embryo transfers: a SART registry study

Objective: To investigate whether there is a difference in live-birth gender rates in blastocyst-stage frozen-thawed embryo transfers (FETs) compared with those in cleavage-stage FETs. Design: Retrospective cohort study. Setting: Academic medical center. Patient(s): All women with recorded live births who underwent FET at either the blastocyst or cleavage stage, reported to the Society for Assisted Reproductive Technology during 2004–2013. Intervention(s): None. Main Outcome Measure(s): The primary outcome was live-birth gender rates. Demographic criteria were also collected. The chi-square analyses were used for bivariate associations, and multiple logistic regression models were used for adjusted associations, with all two-sided P<.05 considered statistically significant. Result(s): A statistically significant increase was noted in the number of live male births after blastocyst-stage FET compared with that after cleavage-stage FET (51.9% vs. 50.5%). After controlling for potential confounders including age (odds ratio [OR], 1.06; 95% confidence interval [CI], 1.03, 1.08), body mass index (OR, 1.08; 95% CI, 1.04, 1.12), and male factor infertility (OR, 1.06; 95% CI, 1.03, 1.08), the increase in male live births after blastocyst-stage FET remained statistically significant. Conclusion(s): In patients undergoing FETs, blastocyst-stage transfers are associated with higher male gender live-birth rates compared with cleavage-stage transfers