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RISS 인기검색어
- 검색키워드
- 저자 : Manisha Nanda (검색결과 4 건)
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Manisha Oswal,Mannat Nanda,Navreet Kaur 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.4
These days with the accelerated increase in human population, the amount of information and records is also becoming humongous in almost every aspect that may be considered. Handling such huge amounts of data has now become a backbreaking task. Handling involves – Inserting all the records accurately, displaying particular records according to the need, updating them as and when required and lastly deleting them when no longer of any use. These problems occur especially in large organizations where extensive amount of data is added and updated on a daily basis. We have considered one such organization that is Hospitals and have tackled this problem. We have worked on creating an efficient and user-friendly desktop application, which covers all aspects of data management with the help of Java on Net Beans IDE 7.3 as our front end and Microsoft SQL Server Management Studio asourbackend. This application makes data retrieval and handling incredibly easy to manage.
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Bijaya Nanda Naik,Sanjay Pandey,Rajath Rao,Manisha Verma,Prashant Kumar Singh 질병관리본부 2022 Osong Public Health and Research Persptectives Vol.13 No.1
Objectives: With the emergence of the coronavirus disease 2019 (COVID-19) pandemic, healthcare professionals (HCPs) have experienced high levels of stress and anxiety because of the high risk of infection for themselves and their families. This has led to acute sleep problems for HCP. This study was designed to assess the anxiety and sleep quality of HCPs during the COVID-19 pandemic. Methods: This cross-sectional study analyzed 370 HCPs employed at All India Institute of Medical Sciences Patna over 3 months, using the standard Generalized Anxiety Disorder 7-item scale (GAD-7) for suspected GAD and the Pittsburgh Sleep Quality Index for sleep quality. Results were tabulated and multivariable binomial logistic regression analysis was done to determine the predictors of poor sleep. Significance was attributed to p < 0.05. Results: Of the 370 HCPs screened, 52 (14.1%; 95% confidence interval [CI], 10.8%–18.1%) were found to have GAD and 195 (52.7%; 95% CI, 47.5%–57.9%) were found to be poor sleepers. The presence of any addictive habit (adjusted odds ratio [AOR], 1.833; 95% CI, 1.12–2.8), unprotected contact with COVID-19 cases (AOR, 1.902; 95% CI, 1.1–3.3), and the presence of GAD (AOR, 5.57; 95% CI, 2.5–12.4) were found to be predictors of poor sleep quality among HCPs. Conclusion: A significant proportion of HCPs were found to have suspected GAD and were poor sleepers. This highlights the need for measures to confront this problem.
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Vinod Kumar,Rajat Kumar,Deepa Rawat,Manisha Nanda 한국응용생명화학회 2018 Applied Biological Chemistry (Appl Biol Chem) Vol.61 No.1
Microalgae have emerged as a potential alternative for the production of many useful compounds like protein, carbohydrate and lipid. Lipid-rich microalgae are important and rich source for alternative energy production. In order to commercially utilize microalgae for energy production, the lipid productivity should be enhanced. Keeping in view the above-mentioned potentials of microalgae, in the present study, we have attempted to display the role of chemical stimulants and light in the growth and lipid production of the microalgae Chlorella singularis (UUIND5). During the present investigations, effect of varying photoperiods and different types of lights and chemical stimulants, viz. CaCl2 and kinetin on growth rate and lipid production, was studied. The maximum growth rate recorded was 166 ± 0.3 mg/L/d, when 0.80 g/l CaCl2 and 0.5 mg/l kinetin were added to Bold’s basal medium. C. singularis was then cultivated in this medium for 14 days under sunlight ?LED (10-h sunlight ? 14-h LED light) at photoperiod 24-h light/0-h dark. The maximum lipid yield 30.2% of dry wt. was obtained under sunlight ?LED. Further, the gas chromatography analysis also showed the presence of fatty acid methyl esters (FAME). FAMEs profile was analyzed according to ASTM D6751 specification. Thus, it was concluded that sunlight ?LED at 24-h light/0-h dark (100 lmol photons m-2 s-1) photoperiod with CaCl2 and kinetin is an effective strategy to boost lipid productivity in C. singularis (UUIND5).
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Kumar, Vinod,Kumar, Rajat,Rawat, Deepa,Nanda, Manisha The Korean Society for Applied Biological Chemistr 2018 Applied Biological Chemistry (Appl Biol Chem) Vol.61 No.1
Microalgae have emerged as a potential alternative for the production of many useful compounds like protein, carbohydrate and lipid. Lipid-rich microalgae are important and rich source for alternative energy production. In order to commercially utilize microalgae for energy production, the lipid productivity should be enhanced. Keeping in view the above-mentioned potentials of microalgae, in the present study, we have attempted to display the role of chemical stimulants and light in the growth and lipid production of the microalgae Chlorella singularis (UUIND5). During the present investigations, effect of varying photoperiods and different types of lights and chemical stimulants, viz. $CaCl_2$ and kinetin on growth rate and lipid production, was studied. The maximum growth rate recorded was $166{\pm}0.3mg/L/d$, when 0.80 g/l $CaCl_2$ and 0.5 mg/l kinetin were added to Bold's basal medium. C. singularis was then cultivated in this medium for 14 days under sunlight +LED (10-h sunlight + 14-h LED light) at photoperiod 24-h light/0-h dark. The maximum lipid yield 30.2% of dry wt. was obtained under sunlight +LED. Further, the gas chromatography analysis also showed the presence of fatty acid methyl esters (FAME). FAMEs profile was analyzed according to ASTM D6751 specification. Thus, it was concluded that sunlight +LED at 24-h light/0-h dark ($100{\mu}mol\;photons\;m^{-2}\;s^{-1}$) photoperiod with $CaCl_2$ and kinetin is an effective strategy to boost lipid productivity in C. singularis (UUIND5).
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