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Diagnosis of Neonatal Hyperbilirubinemia Using CNN Model Along with Color Card Techniques
Nayagi S. Bharani,Angel T. S. Shiny 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.5
In the first few days of life, neonatal jaundice is the situation that causes yellow discoloration on the baby’s skin. The yellowish pigmentation is the gesture of an increase in bilirubin levels. It is common in 2/3 of all active infants. It is a condition caused by the problems of poor breastfeeding, the lifespan of red blood cells, or the hydration level. Every year, about 1.1 million infants are affected by hyperbilirubinemia. The approach and knowledge of the purpose of neonatal jaundice are restricted. Exploring the purpose of neonatal jaundice has superior significance in reducing jaundice-related infant mortality and morbidity. According to pudmed.com, case-control analysis is carried out and produces a medical chart of 272 infants for public healthcare units. Proper diagnosis of the disease is required to reduce the mortality rate. Computer vision techniques are essential to diagnose the disease. It can be done with the appropriate machine learning techniques. The existing system uses machine learning methodology to analyze the presence of disease. The severity level of the disease is determined by using a bilirubin meter. It may lead to poor performance due to a lack of severity level identification. Fifth, AdaBoost-Random Forest is carried out to identify the presence of neonatal hyperbilirubinemia. Sixth, the CNN model was trained along with color-card techniques to identify their severity level. Finally, the time series property is included to perform continuous monitoring of neonatal hyperbilirubinemia. The performance evaluation of the model provides class 1 and class 2 specificity of 0.98 and 0.98, the accuracy of the 0.98 and 0.98, MCC of 0.97 and 0.96, and f-measure of 0.98 and 0.98 respectively. The maximum epochs are 100 for training the model. The best validation is obtained at the 22nd epoch. The training performance is 0.24991 at epoch 2.
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Repair of an oroantral communication by a human amniotic membrane: a novel technique
Subha Lakshmi,Siva Bharani,Kalhan Ambardar 대한구강악안면외과학회 2015 대한구강악안면외과학회지 Vol.41 No.4
The amniotic membrane is the innermost layer of fetal membrane and is attached to the chorion in the placenta. This membrane has been used for nearly a century in varied fields such as ophthalmology, reconstructive surgery, and burn treatment. In this case report, we used a human amniotic membrane to repair an iatrogenic oroantral communication that occurred during the extraction of the patient’s right upper second molar. A splint was given after the perforation was covered with human amniotic membrane and healing was clinically evaluated at various intervals. The outcome of the study revealed that the human amniotic membrane was an efficient graft material for repairing the defect caused by an iatrogenic oroantral communica- tion following tooth extraction.
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Multilocus Genotyping to Study Population Structure in Three Buffalo Populations of India
Tantia, M.S.,Vijh, R.K.,Mishra, Bina,Kumar, S.T. Bharani,Arora, Reena Asian Australasian Association of Animal Productio 2006 Animal Bioscience Vol.19 No.8
Three buffalo populations viz. Bhadawari, Tarai and local buffaloes of Kerala were genotyped using 24 heterologous polymorphic microsatellite loci. A total of 140 alleles were observed with an average observed heterozygosity of 0.63. All the loci were neutral and 18 out of the 24 loci were in Hardy Weinberg Equilibrium. The $F_{IS}$ values (estimate of inbreeding) for 16 loci in all the three populations were negative. This indicated lack of population structure in the three populations. The effective number of immigrants was 5.88 per generation between the Tarai and Bhadawari populations which was quite high suggesting substantial gene flow. The genetic distances revealed closeness between the Tarai and Bhadawari populations which was expected from geographical contiguity. The FST values were not significantly different from zero showing no population differentiation. The Correspondence Analysis based on the allelic frequency data clustered the majority of the Tarai and Bhadawari individuals as an admixture.
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Genetic characterization of African swine fever virus in Cameroon, 2010–2018
Abel Wade,Jenna Elizabeth Achenbach,Carmina Gallardo,Tirumala Bharani K. Settypalli,Abdoulkadiri Souley,Gaston Djonwe,Angelika Loitsch,Gwenaelle Dauphin,Jean Justin Essia Ngang,Onana Boyomo,Giovanni C 한국미생물학회 2019 The journal of microbiology Vol.57 No.4
African swine fever (ASF) is a highly lethal haemorrhagic disease in domestic and wild swine that has acquired great importance in sub-Saharan Africa since 1997. ASF was first reported in Cameroon in 1982 and was detected only in Southern Cameroon (South, West, East, Northwest, Southwest, Littoral, and Centre regions) until February 2010 when suspected ASF outbreaks were reported in the North and Far North regions. We investigated those outbreaks by analysing samples that were collected from sick pigs between 2010 and 2018. We confirmed 428 positive samples by ELISA and realtime PCR and molecularly characterized 48 representative isolates. All the identified virus isolates were classified as ASFV genotype I based on the partial B646L gene (C-terminal end of VP72 gene) and the full E183L gene encoding p54 protein analysis. Furthermore, analysis of the central variable region (CVR) within the B602L gene demonstrated that there were 3 different variants of ASFV genotype I, with 19, 20, and 21 tetrameric tandem repeat sequences (TRSs), that were involved in the 2010–2018 outbreaks in Cameroon. Among them, only variant A (19 TRSs) was identical to the Cam/82 isolate found in the country during the first outbreaks in 1981–1982. This study demonstrated that the three variants of ASFV isolates involved in these outbreaks were similar to those of neighbouring countries, suggesting a movement of ASFV strains across borders. Designing common control measures in affected regions and providing a compensation programme for farmers will help reduce the incidence and spread of this disease.
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Genetic Relationship in Chicken Breeds Using Molecular Co-ancestry Information
Ahlawat, S.P.S.,Vijh, R.K.,Mishra, Bina,Kumar, S.T. Bharani,Tantia, M.S. Asian Australasian Association of Animal Productio 2008 Animal Bioscience Vol.21 No.1
Five chicken populations viz. Chittagong, Ghagus, Kalasthi, Kadaknath, Tellichery were genotyped using 25 highly polymorphic microsatellite loci. White leg horn was taken as an outgroup. To reveal the relationship and distinctiveness among five indigenous breeds various genetic distances based on molecular co-ancestry were estimated and multidimensional scaling was performed. The Ghagus and Kalasthi breeds were closely related and their separation was recent, whereas Chittagong had a remote ancestry with other indigenous chicken populations.
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