4 results
Search Results
2. COVID-19 Spread Modeling Incorporating Suggestive Optimal Control Strategies under Uncertainty.
- Author
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Santra, P. K., Pal, D., Mahapatra, G. S., and Alrabaiah, H.
- Subjects
COVID-19 pandemic ,COMPUTER simulation ,MATHEMATICAL models ,BASIC reproduction number - Abstract
In the present paper, we have provided a five-compartmental epidemic model in an interval environment to analyze the spread of COVID-19 infection in India. The proposed model divides the entire population of India into five classes. They are susceptible, exposed, asymptomatic, symptomatic, and recovered classes. Under some suppositions, the crisp model is constructed and converted to an imprecise model by the interval number. We introduced a parametric functional form of an interval number to study the imprecise epidemiological model. The main objective of this study is to develop an epidemiological model in an imprecise environment and to try to understand the dynamics of the epidemic model of COVID-19 infection spread in India. We also presented the COVID-19 model with two controls to effectively control COVID-19 disease in India. Finally, a numerical simulation is carried out considering that the model parameters are imprecise. The numerical results show that our proposed imprecise model is reliable from a practical point of view. [ABSTRACT FROM AUTHOR]
- Published
- 2023
3. Modelling of hybrid energy system—Part III: Case study with simulation results
- Author
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Gupta, Ajai, Saini, R.P., and Sharma, M.P.
- Subjects
- *
HYBRID power systems , *MATHEMATICAL models , *CASE studies , *COMPUTER simulation , *ALGORITHMS , *ELECTRIC power , *RENEWABLE energy sources , *POWER resources & economics - Abstract
Abstract: This paper presents the results of the application of model (developed in part I) and simulation algorithm (developed in part II) for determining the techno-economics of battery storage type hybrid energy system intended to supply the load of a rural remote area having a cluster of nine villages (grid isolated). The hour-by-hour simulation model is intended to simulate a typical one month period of system operation. For simulation purpose, hourly solar insolation data and load data have been generated and used as an input data. Demand side management (DSM) is used in this study to smooth out the daily peaks and fill valleys in the load curve to make the most efficient use of energy sources. The economic analysis has resulted in the calculation of optimized hourly, daily, and monthly system unit cost of proposed hybrid energy system. The obtained results represent also a helpful reference for energy planners in Uttarakhand state and justify the consideration of hybrid energy systems more seriously. [ABSTRACT FROM AUTHOR]
- Published
- 2011
- Full Text
- View/download PDF
4. Mechanosensitive Piezo1 ion channel protein (PIEZO1 gene): update and extended mutation analysis of hereditary xerocytosis in India.
- Author
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More, Tejashree Anil, Dongerdiye, Rashmi, Devendra, Rati, Warang, Prashant P., and Kedar, Prabhakar S.
- Subjects
ION channels ,IRON deficiency anemia ,HEMOLYTIC anemia ,MONOVALENT cations ,DEHYDRATION ,NUCLEOTIDE sequencing ,BIOCHEMISTRY ,COMPUTER simulation ,GENETIC mutation ,SEQUENCE analysis ,MATHEMATICAL models ,IRON in the body ,PHENOMENOLOGY ,TRANSFERASES ,THEORY ,GENES ,RESEARCH funding ,MEMBRANE proteins ,HYDROPS fetalis ,GENETIC techniques ,AMINO acids ,MOLECULAR structure ,CONGENITAL hemolytic anemia ,ANIMALS ,MICE ,DISEASE complications - Abstract
Hereditary xerocytosis (HX), also known as dehydrated stomatocytosis (DHSt) is a dominantly inherited genetic disorder exhibiting red cell membrane dehydration caused by the loss of the monovalent cation K+ and water. Variants in mechanosensitive Piezo ionic channels of the PIEZO1 gene are the primary cause of HX. We have utilized high throughput and highly precise next-generation sequencing (NGS) to make a diagnosis and examine the genotype-phenotype relationship in inflexible HX cases. Seven unrelated patients with unexplained hemolytic anemia were scrutinized with a panel probing 8000 genes related to congenital anemia. Targeted next-generation sequencing identified 8 missense variants in the PIEZO1 gene in 7 unrelated Indian patients. Three of the 8 variants are novel (c.1795G > C, c.2915G > A, c.7372 T > C) and the remaining five (c.4082A > G, c.6829C > A, c.7374C > G, c.7381G > A, c.7483_7488dup) are previously reported. The variants have been validated by Sanger sequencing. One patient with autosomal dominant mutation (c.7372 T > C) is associated with iron refractory iron deficiency anemia. Of the 7 patients, one has HX in combination with a novel homozygous variant (c.994G > A) in the PKLR gene causing PK deficiency resulting in severe clinical manifestations with phenotypic variability. In silico prediction using bioinformatics tools were used to study the possible damaging effects of the novel variants. Structural-functional analysis of the novel variants was investigated by molecular modeling software (PyMOL and Swiss PDB). These results encompass the heterogeneous behavior of mechano-sensitive Piezo1 protein observed in HX patients in India. Moreover, NGS imparted a subtle, economical, and quick tool for understanding the genetic cause of undiagnosed cases of congenital hemolytic anemia. NGS grants a potential technology integrating clinical history together with molecular report profiting in such patients and their families. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
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