Sachin Kumar
Department of Chemical Engineering, National Institute of Technology, Rourkela-769008,

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Hybrid model for sentiment analysis combination of PSO, genetic algorithm and voting classification Srivastava, Garima; Singh, Vaishali; Kumar, Sachin
Indonesian Journal of Electrical Engineering and Computer Science Vol 35, No 2: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v35.i2.pp1151-1161

Abstract

As social network services like Weibo and Twitter have grown in popularity, natural language processing (NLP) has seen a great deal of interest in sentiment analysis of social media messages and Information mining. Social media users, whose numbers are always increasing, have the ability to exchange information on their platforms. The study of sentiment, domains and themes are closely related. Manually collecting enough labelled data from the vast array of subjects covered by large-scale social media to train sentiment classifiers across several domains would be extremely difficult. The literature review conducted concludes that models already proposed in the previous researches are not able to achieve good accuracy. This work suggests a unique model that combines of genetic algorithm and particle swarm optimization to effectively extract the features and then the voting technique is applied for the classification. Model proposed is compared with 4 ensemble datasets achieving a consistent accuracy of more than 90% for three different diversified database owing to natural selection of sequences by GA and at the same time achieves a fast convergence with PSO, the model may be employed for highly accurate recommenders demanding precision and accuracy.
Optimizing dynamic response and stability of pressure-controlled swash plate type axial piston pump Verma, Vivek; Kumar, Sachin; Anand, Apurva
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 2: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i2.pp771-780

Abstract

The main objective of the paper is to explore the role of lead-lag compensators in improving the performance of control systems for variable delivery hydraulic axial piston pumps (VAPP). These compensators offer a range of benefits, including stability enhancement, transient response optimization, frequency response modification, disturbance rejection, and robustness improvement. A mathematical model of the hydro-mechanical system is developed, and the transfer function for the dynamic system is established. The simulation of the model with lead-lag compensator significantly enhanced the phase margin to 55.70 and gain margin to 12.3 dB ensuring robust control for pressure-controlled VAPP, whereas the uncompensated system is marginally stable. The compensated system exhibits better transient and steady-state response. The optimized lead-lag compensated system achieves a maximum percentage overshoot of 12.1% and a settling time of 1.95 sec. This is a substantial improvement compared to the uncompensated system with a maximum % overshoot of 20.5% and a settling time of 2.39 sec. The improved response tends to induce greater damping (ζ) in the compensated system from 0.015 to 0.108 and increases leakage coefficient (K) from 3.38×10-12 m3/Pa.s to 24.34×10-12 m3/Pa.s. Optimized lag-lead compensator ensures stability, responsiveness adapting effectively to dynamic operating conditions of VAPP for aerospace application.
Determinants of Duration of the First Birth Interval Using the Semi-parametric Survival Model in Uttar Pradesh, India: Evidence from NFHS Singh, Udisha; Kishun, Jai; Kumar, Anup; Singh, Uttam; Kumar, Sachin; Kapoor, Vishwas; Mishra, Prabhaker
Journal of Epidemiology and Public Health Vol. 8 No. 1 (2023)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26911/jepublichealth.2023.08.01.01

Abstract

Background: First birth is an important phenomenon in women life. It not only affects the duration of the rest of birth intervals but also affects the reproductive pattern of women. The study aims to explore the determinants of the duration of the first birth interval.Subjects dan Method: The cross-sectional study data of 33,275 women married between the years 2005-2021 aged (15-49) years from Uttar Pradesh, were selected from NFHS-5 data. The NFHS-5 sample is a stratified two-stage sample. Socio-demographic, socio-economic and cultural factors were taken as independent variables. The dependent variable was the first birth interval variable. Data analysis was performed on SPSS version 23 software and R Programming language for graphical representation. Cox proportional hazard models were applied for analysis.Results: The mean age of women at first marriage was 19.4; SD=3.26 years and the mean age of women at first birth was 21.39; SD=3.24 years. The median duration of the first birth interval was22 months with an IQR of 14 until 32 months. Cox hazard proportional analysis revealed that religion, residence, (ever) fetal loss, age at first birth, heard family planning, and women or husband education were found to be statistically significant factors associated with the duration of the first birth interval (p<0.001).Conclusion: There is a need to change the mindset of people towards the concept of the use of family planning methods to increase the length of the birth interval, regardless of various factors. This would help to increase the duration of the birth interval, improve the health of women and children, as well as help reduce population growth. Keywords: Uttar Pradesh, birth interval, semi-parametric, cox model, hazard plot. Correspondence:Jai Kishun, Department of Biostatistics and Health Informatics, Sanjay Gandhi Postgraduate Institute of Medical Sciences. Lucknow – 226014, India; email: jaikishan.stat@gmail.com
Treatment of Severe Unconjugated Hyperbilirubinemia with Phenobarbitone in Two First-Degree Siblings with Crigler-Najjar Syndrome (CNS) Type 2: A Success Story Kumar, Sachin; Karthik, Siddhavatam Rahul; Pahuja, Gandharav; Chakrabarti, Sarthak; Panda, Prateek Kumar; Sharawat, Indar Kumar
Archives of Pediatric Gastroenterology, Hepatology, and Nutrition Vol. 4 No. 4 (2025): APGHN Vol. 4 No. 4 November 2025
Publisher : The Indonesian Society of Pediatric Gastroenterology, Hepatology, and Nutrition

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58427/apghn.4.4.2025.201-207

Abstract

Background: Crigler–Najjar syndrome (CNS) type 2 is a rare autosomal recessive disorder of bilirubin conjugation caused by mutations in the UGT1A1 gene. It presents in infancy with unconjugated hyperbilirubinemia that does not respond to phototherapy but improves with phenobarbitone, which enhances residual enzyme activity. Although phenobarbitone remains the cornerstone of treatment, familial recurrence of CNS type 2 is rarely reported in pediatric literature. Case: We report two siblings born to consanguineous parents who presented with progressive jaundice during early infancy. The first child, a 2-month-old boy, had multiple hospitalisations for phototherapy without benefit. Laboratory evaluation revealed total bilirubin of 31 mg/dL with normal liver function and no evidence of hemolysis. Genetic testing confirmed a homozygous UGT1A1 (c.1456T>G; p.Tyr486Asp) mutation. He was treated with phenobarbitone (5–8 mg/kg/day) and calcium phosphate, achieving a bilirubin level <10 mg/dL within 4 weeks. Three years later, his younger sister developed similar unconjugated jaundice from day 4 of life and harboured the same mutation; she responded well to phenobarbitone alone. Both siblings remain well on long-term follow-up. Discussion: This case highlights the genetic basis and favorable response of CNS type 2 to phenobarbitone, which induces hepatic UGT1A1 expression. Familial clustering of CNS 2, though reported in few global studies, is seldom documented from India. Conclusion: Early genetic diagnosis, timely institution of phenobarbitone, and family counselling are critical for successful management of CNS type 2. These cases reaffirm the long-term safety and efficacy of phenobarbitone in familial presentations of this rare disorder.