Brain Tumor Detection using Deep Learning Approach.

Early detection of brain tumor has an important role in further developing therapeutic outcomes, and hence functioning in endurance tolerance. Physically evaluating the various reversion imaging (magnetic resonance imaging [MRI]) images that are regularly distributed at the center is a problematic cycle. Along these lines, there is a significant need for PC-assisted strategies with improved accuracy for early detection of cancer. PC-backed brain cancer detection from MR images including growth location, division, and order processes. In recent years, many inquiries have turned to zero in traditional or outdated AI procedures for brain development findings. Presently, there has been an interest in using in-depth learning strategies to detect cerebral growths with an excellent accuracy and heart rate. This review presents a far-reaching audit of traditional AI strategies and in-depth study methods for diagnosing brain cancer. This research paper distinguishes three main benefits i.e. exhibition, estimation and measurements of brain tumour detection.

A new species of cirri-bearing eel of the genus Cirrhimuraena (Anguilliformes: Ophichthidae) from the coastal Bay of Bengal, India.

A new species of cirri-bearing ophichthidae eel Cirrhimuraena odishaensis sp. nov. is described here, on the basis of two specimens collected from the Palur canal and Talasari fish landing centre in Odisha, India. The distinguishing characters of Cirrhimuraena odishaensis sp. nov. that separate it from its congeners include the presence of a single row of mandibular teeth, origin of the dorsal fin directly above the midpoint of pectoral fin, vertebral counts (pre-dorsal 10, pre-anal 46-47, and total 160-162), and number of cirri (13) on the upper jaw. Morphologically Cirrhimuraena odishaensis shows close affinity with Cirrhimuraena yuanding and Cirrhimuraena orientalis. The new species differs from C. yuanding by origin of dorsal fin, number of intermaxillary and maxillary teeth, and length of head. The new species differs from C. orientalis with relatively higher vertebrae.

First report of parasitic isopod Nerocila orbignyi (Cymothoidae) from India with its molecular characterization.

The present report provides the first material evidence of Nerocila orbignyi (Guérin-Méneville, 1832) collected from two different landing centres of the Chilika lagoon, thus claiming the first report of this parasite from India. One of the specimens was recorded from the host fish species Plotosus canius Hamilton 1822, constituting the first host record for this isopod. A key for the identification of N. orbignyi among its congeners is also provided. Molecular characterization of Cytochrome C Oxidase I (COI) gene of N. orbignyi was based on one specimen submitted for the first time to the NCBI database. This parasite is differentiated from the other available sequences of its related congeners retrieved from the NCBI and BOLD database by 26-34% in the Kimura 2 Parameter (K2P) distance and belongs to a separate cluster in Maximum likelihood (ML) tree analysis.

Confirmation on the occurrence of Cymothoa indica, and first record of Norileca indica, with a note on new host records of Nerocila arres, and Nerocila depressa (Isopoda: Cymothoidae) from Odisha coast, India.

The parasitic isopod Cymothoa indica Schiöedte and Meinert, 1884 was recorded from the buccal cavity of the host Glossogobius giuris (Hamilton, 1822) collected from Chilka Lake, Odisha in 1924, but its identification was doubtful as mentioned by the author in his book on "Fauna of Chilika Lake: Tanaidacea and Isopoda". The present report of parasitic isopod C. indica from the buccal cavity of the host Sphyraena obtusata Cuvier, 1833 collected from the water of Bay of Bengal, Gopalpur-on-Sea confirms its occurrence along the Odisha coast. The record of the isopod parasite Norileca indica (H. Milne Edwards, 1840) from the branchial cavity of the host Atule mate (Cuvier, 1833) collected from the water of Bay of Bengal, Gopalpur-on-Sea is the first record of this parasite from the coastal water of Odisha, India. The record of Nerocila arres Bowman and Tareen, 1983 from the caudal peduncle of the host fish species Terapon puta Cuvier, 1829, and the isopod N. depressa Milne Edwards, 1840 from the host fish species Megalaspis cordyla (Linnaeus, 1758) are the new host records for these respective parasites.

First record of Mothocya renardi and Mothocya collettei (Isopoda: Cymothoidae) from northern part of East Coast of India and new host record of Mothocya collettei.

The present record of different developmental stages of the parasite Mothocya renardi (Bleeker, 1857) and gravid female of Mothocya collettei Bruce, 1986 from different individuals of same host Strongylura leiura (Bleeker, 1850) collected from Bay of Bengal, Gopalpur-on-Sea, Odisha, India are the first record of these parasites from the northern part of east coast of India. The record of Mothocya collettei from the host Strongylura leiura is the first host record for this parasite.

Species composition of microzooplankton Tintinnid from the coastal waters of Digha, Bay of Bengal.

Tintinnid species distribution and hydrography were studied in the coastal waters of Digha during winter (November 2015) and summer (March 2016) seasons. Surface water samples were collected from 11 different stations from 0 to 10 km offshore with the help of a mechanized trawler. Parameters like tintinnid species enumeration, zooplankton biomass, phytoplankton concentration (total chlorophyll) and abundance, sea surface temperature (SST), pH, transparency, salinity, dissolved oxygen (DO), total phosphate, silicate and nitrate were analysed. A total of 20 different tintinnid species (16 agglomerated +4 non-agglomerated) belonging to 6 genera were recorded from the study area with seasonal variation in tintinnid diversity, i.e. higher in summer (total 2745 individual/l) compared to winter (total 1191 individual/l). Tintinnopsis was the most dominant genus during both the seasons, i.e. 2100 individual/l in summer and 727 individual/l in winter, contributing about 76 and 61% population for the respective seasons. The correlation between species and water quality parameters showed that Tintinnopsis sp. abundance was significantly regulated by nitrate concentration, salinity, dissolved oxygen, water transparency and pH. However, the mentioned hydrological parameters were not the only factors regulating the tintinnid abundance. Tintinnid abundance was also found to be positively related with transparency (r = 0.732) and salinity (r = 0.524) and moderately related with dissolved oxygen (r = 0.488) whereas strong negative relation (at p ≤ 0.05) was established between tintinnid abundance with nitrate (r = -0.681) and pH (r = -0.561). Bray-Curtis cluster analysis of tintinnid species showed more than 60% similarity. Shannon's diversity index (H'), Simpson's evenness index (D) and Margalef's species richness index were found to be higher in summer, i.e. 1.61, 0.729 and 1.612, compared to the winter season, i.e. 1.139, 0.597 and 1.268. k-dominance curve showed maximum abundance of Tintinnopsis baltica in winter and Tintinnopsis gracilis in summer. Principal component analysis (PCA) was analysed to find out the environmental variables affecting different tintinnid species diversity. A significant spatiotemporal variation in Tintinnid population distribution was observed from two-way ANOVA. The results reflect significant seasonal (F = 840.0), spatial (F = 47.3) and interactive variation (F = 71.2) among the ciliate microzooplankton at n = 66, p ≤ 0.001. High chlorophyll content and phytoplankton population in summer indicated that tintinnid diversity in the season was positively influenced by producer community in coastal waters of Digha.