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- 저자 : K.V. Soumya (검색결과 9 건)
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Soumya Dash,A. K. Chakravarty,V. Sah,V. Jamuna,R. Behera,N. Kashyap,B. Deshmukh 아세아·태평양축산학회 2015 Animal Bioscience Vol.28 No.7
Heat stress has adverse effects on fertility of dairy animals. Decline in fertility is linearly associated with an increase in combination of both temperature and humidity. The purpose of this study was to investigate the relationship between temperature humidity index (THI) and the pregnancy rate of Murrah buffaloes in a subtropical climate. The effects of genetic and non-genetic factors viz., sire, parity, period of calving and age group at first calving were found non-significant on pregnancy rate. The effect of THI was found significant (p<0.001) on pregnancy rate of Murrah buffaloes calved for first time and overall pregnancy rate. The threshold THI affecting the pregnancy rate was identified as THI 75. The months from October to March showed THI<75 and considered as non heat stress zone (NHSZ), while months from April to September were determined as heat stress zone (HSZ) with THI≥75. The lowest overall pregnancy rate (0.25) was obtained in July with THI 80.9, while the highest overall pregnancy rate (0.59) was found in November with THI 66.1. May and June were identified as critical heat stress zone (CHSZ) within the HSZ with maximum decline (−7%) in pregnancy rate with per unit increase in THI. The highest overall pregnancy rate was estimated as 0.45 in NHSZ with THI value 56.7 to 73.2. The pregnancy rate was found to have declined to 0.28 in HSZ with THI 73.5 to 83.7. However, the lowest pregnancy rate was estimated as 0.27 in CHSZ with THI value 80.3 to 81.6.
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Sentiment analysis of malayalam tweets using machine learning techniques
Soumya S.,Pramod K.V. 한국통신학회 2020 ICT Express Vol.6 No.4
Sentiment Analysis of Malayalam Tweets using Machine Learning techniques is done in this paper. The tweets are classified into positive and negative using different machine learning techniques such as Naive Bayes (NB), Support Vector Machine (SVM) and Random Forest (RF). The different features like Bag of Words (BOW), Term Frequency vs. Inverse Document Frequency (TF IDF), Unigram with Sentiwordnet, and Unigram with Sentiwordnet including negation words are considered for feature vector formation of input dataset. The Random Forest classifier shows higher accuracy while considering Unigram with Sentiwordnet including negation words as a feature.
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Micro- and Macro-Level Factors Determining Financial Performance of UAE Insurance Companies
SASIDHARAN, Soumya,RANJITH, V.K.,PRABHURAM, Sunitha Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.12
The research aims to analyze the firm-specific and macroeconomic factors that affect insurance company's financial performance. The research explores the variables that influence the financial performance of the United Arab Emirates (UAE)' insurance companies. The analysis for determining financial performance considers the following variables: the firm's age, retention ratio, capital adequacy, underwriting risk/loss ratio, financial-leverage, reinsurance dependency, and macro-economic factors such as GDP per capita, inflation rate considered as independent factors. The return-on-asset (ROA) is the key measuring indicator; it is regarded as the dependent variable for financial performance measures. The research focuses on secondary information obtained from insurance companies' financial statements. The researcher targeted 18 insurance companies listed on the UAE stock exchanges for study purposes. The research examines the overall factors that influence the financial performance of an insurance company. For analysis of data, software package of social sciences (SPSS version 20) is used. The studies used correlation and multiple linear regression analysis to determine financial performance and their effects. The analysis suggests that there are important and constructive relationships between the size, capital adequacy, and reinsurance dependency, while loss ratio, retention ratio, and financial leverage indicate a major negative relationship. And there's no link between GDP per capita and inflation.
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Dash, Soumya,Chakravarty, A.K.,Sah, V.,Jamuna, V.,Behera, R.,Kashyap, N.,Deshmukh, B. Asian Australasian Association of Animal Productio 2015 Animal Bioscience Vol.28 No.7
Heat stress has adverse effects on fertility of dairy animals. Decline in fertility is linearly associated with an increase in combination of both temperature and humidity. The purpose of this study was to investigate the relationship between temperature humidity index (THI) and the pregnancy rate of Murrah buffaloes in a subtropical climate. The effects of genetic and non-genetic factors viz., sire, parity, period of calving and age group at first calving were found non-significant on pregnancy rate. The effect of THI was found significant (p<0.001) on pregnancy rate of Murrah buffaloes calved for first time and overall pregnancy rate. The threshold THI affecting the pregnancy rate was identified as THI 75. The months from October to March showed THI<75 and considered as non heat stress zone (NHSZ), while months from April to September were determined as heat stress zone (HSZ) with $THI{\geq}75$. The lowest overall pregnancy rate (0.25) was obtained in July with THI 80.9, while the highest overall pregnancy rate (0.59) was found in November with THI 66.1. May and June were identified as critical heat stress zone (CHSZ) within the HSZ with maximum decline (-7%) in pregnancy rate with per unit increase in THI. The highest overall pregnancy rate was estimated as 0.45 in NHSZ with THI value 56.7 to 73.2. The pregnancy rate was found to have declined to 0.28 in HSZ with THI 73.5 to 83.7. However, the lowest pregnancy rate was estimated as 0.27 in CHSZ with THI value 80.3 to 81.6.
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A Simulation Tool for Ultrasonic Inspection
Krishnamurthy, Adarsh,Mohan, K.V.,Karthikeyan, Soumya,Krishnamurthy, C.V.,Balasubramaniam, Krishnan The Korean Society for Nondestructive Testing 2006 한국비파괴검사학회지 Vol.26 No.3
A simulation program SIMULTSONIC is under development at CNDE to help determine and/or help optimize ultrasonic probe locations for inspection of complex components. SIMULTSONIC provides a ray-trace based assessment for immersion and contact modes of inspection. The code written in Visual C++ operating in Microsoft Windows environment provides an interactive user interface. In this paper, a description of the various features of SIMULTSONIC is given followed by examples illustrating the capability of SIMULTSONIC to deal with inspection of canonical objects such as pipes. In particular, the use of SIMULTSONIC in the inspection of very thin-walled pipes (with 450 urn wall thickness) is described. Ray trace based assessment was done using SIMULTSONIC to determine the standoff distance and the angle of oblique incidence for an immersion mode focused transducer. A 3-cycle Hanning window pulse was chosen for simulations. Experiments were carried out to validate the simulations. The A-scans and the associated B-Scan images obtained through simulations show good correlation with experimental results, both with the arrival time of the signal as well as with the signal amplitudes.
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Satheesha B,Nayak,K,V,Soumya 대한해부학회 2020 Anatomy & Cell Biology Vol.53 No.3
Anomalies of the peritoneum and the colon are quite common. Some of these anomalies can disturb the normal digestive and absorptive functions of the intestine and the others might result in formation of volvulus or impede the blood supply of the intestine. We report a rare, combined variation of peritoneum and ascending colon. In a 70-year-old male cadaver, the greater omentum was very small and extended only for about an inch below the transverse colon. From its lower end, a fibrous band extended to the right wall of the upper part of ascending colon. There was a deep constriction on the right wall of the ascending colon at the site of attachment of the fibrous band. The ascending colon was grossly dilated. Further, the ascending colon was mobile and presented a small ascending mesocolon along its left edge. We discuss the possible embryological basis and clinical and surgical relevance of the case.
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Mylohyoid foramen of mandible: a rare exit point of intra-mandibular origin of nerve to mylohyoid
Satheesha B,Nayak,K.V. Soumya 대한해부학회 2020 Anatomy & Cell Biology Vol.53 No.1
Nerve to mylohyoid is a branch of inferior alveolar nerve. It arises in the infratemporal fossa and runs in the mylohyoid groove of mandible to reach the submandibular region, where it supplies the anterior belly of digastric and mylohyoid muscles. Though sensory distribution of this nerve have been described, it is predominantly a motor nerve. Here, a rare intra-mandibular origin of nerve to mylohyoid has been presented. This nerve arose from the inferior alveolar nerve inside the mandible and came out to the submandibular region by passing through a small foramen present on the medial surface of the body of the mandible. It ended by supplying the anterior belly of digastric and mylohyoid muscles. The knowledge of this variation could be of importance to maxillofacial surgeons and radiologists.
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Sathian, Brijesh,Fazil, Abul,Sreedharan, Jayadevan,Pant, Sadip,Kakria, Anjali,Sharan, Krishna,Rajesh, E.,Vishrutha, K.V.,Shetty, Soumya B.,Shahnavaz, Shameema,Rao, Jyothi H.,Marakala, Vijaya Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.3
Background: To estimate the numbers and trends in cervix cancer cases visiting the Radiotherapy Department at Manipal Teaching Hospital, Pokhara, Nepal, statistical modelling from retrospective data was applied. Materials and Methods: A retrospective study was carried out on data for a total of 159 patients treated for cervix cancer at Manipal Teaching Hospital, Pokhara, Nepal, between $28^{th}$ September 2000 and $31^{st}$ December 2008. Theoretical statistics were used for statistical modelling and forecasting. Results: Using curve fitting method, Linear, Logarithmic, Inverse, Quadratic, Cubic, Compound, Power and Exponential growth models were validated. Including the constant term, none of the models fit the data well. Excluding the constant term, the cubic model demonstrated the best fit, with $R^2$=0.871 (p=0.004). In 2008, the observed and estimated numbers of cases were same (12). According to our model, 273 patients with cervical cancer are expected to visit the hospital in 2015. Conclusions: Our data predict a significant increase in cervical cancer cases in this region in the near future. This observation suggests the need for more focus and resource allocation on cervical cancer screening and treatment.
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