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Mishra, Abhisek
- Effect of Employment on Women Empowerment-A Study on Sonepur District of Odisha, India
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PDF Views:167
Authors
Affiliations
1 Amity Business School, Amity University, Raipur, IN
2 School of Management Studies and Reserach, MATS University, Raipur, IN
1 Amity Business School, Amity University, Raipur, IN
2 School of Management Studies and Reserach, MATS University, Raipur, IN
Source
Indian Journal of Economics and Development, Vol 7, No 5 (2019), Pagination: 1-4Abstract
Objective: This study empirically examines various prospects of empowerment of women viz. autonomy, economy and gender bias and the effect of employment on the women empowerment.
Methods: A field survey was conducted with a structured questionnaire. Data were collected from 120 respondents (61 employed and 59 housewives) from Sonepur district of Odisha, India. A women empowerment index was constructed to capture the empowerment of the respondents taking autonomy, economic empowerment, and gender empowerment into account. A three-stage probability (and non-probability) sampling was followed to collect data, with district as primary unit (chosen based on convenience), institutions as secondary unit, and the respondents as the ultimate sampling unit.
Findings/Application: The study depicts a positive and significant effect of employment on empowerment of women. The result shows that autonomy, economy and gender biasness plays a major role in the empowerment of women.
Keywords
Employment, Empowerment, India, Odisha, Women.Full Text
References
- A. Sen. Development as Freedom. Oxford: Oxford University Press. 1999.
- N. Kabeer. Conflicts over credit: re-evaluating the empowerment potential of loans to women in rural Bangladesh. World Development. 2001; 29(1), 63-84.
- D. Narayan. Measuring empowerment: cross disciplinary perspective. The World Bank, Washington, D.C. 2005.
- Preznieto, Taylor. A review of approaches and methods to measure economic empowerment of women and girls. Gender & Development. 2014; 22(2), 233-251.
- N. Kabeer. Resources, Agency, Achievement: Reflections on the measurement of women’s empowerment. Development and change. 1999; 30(3), 435-64.
- R. Khanna, A. Kumar, J.F. Vaghela, J.M. Puliyel. Community based retrospective study of sex in infant mortality in India. British Journal of Medicine. 2003; 327, 126–129.
- E. Rose. Consumption smoothing and excess female mortality in rural India. Review of Economics and Statistics. 1999; 81(1), 41-49.
- T. Dyson, M. Moore. On kinship structure, female autonomy, and demographic behaviour in India. Population and Development Review. 1983; 9, 35-60.
- R.B. Dixon. Rural Women at Work: Strategies for Development in South Asia. Baltimore: Johns Hopkins University Press. 1978.
- N. Kabeer. Women, wages and intra-household power relations in urban Bangladesh. Development and Change, 28(12), 261-302.
- Hashemi, S.M. Schuler, A.P. Riley. Rural credit programs and women’s empowerment in Bangladesh. World Development. 1997; 24 (4), 635-653.
- S. Grasmuck, R. Espinal. Market success or female autonomy? : Income, ideology, and empowerment among micro entrepreneurs in the Dominican Republic. Gender & Society. 2000; 14(2), 231-255.
- S.R. Schuler, S.M. Hashemi, S.H. Badal. Men’s violence against women in rural Bangladesh: undermined or exacerbated by microcredit programs? Development in Practice. 1999; 8(2), 148–157.
- M. Sarma. Index of Financial Inclusion, working paper 215. Indian Council for Research on International Economic Relations. 2008.
- S. Mohapatra, B.K. Sahoo. Determinants of participation in self-help-groups (SHG) and its impact on women empowerment. Indian Growth and Development Review. 2016; 9(1), 53-78.
- Human Development Report. Oxford University Press, New Delhi. 1990.
- S. Alkire, S. Seth. Multidimensional poverty reduction in India between 1999 and 2006: Where and How? World Development. 2015; 72, 93-108.
- Dutta. Women’s employment and its effects on Bengali household in Shilong, India. Journal of Comparative Family Studies. 2000; 31(2), 217-229.
- S. Salay, S. Jesmin, S. Rahman. Women’s employment in urban Bangladesh: A challenge to gender identity? Development and Change. 2005; 36(2).
- Internet of Diagnostic Things: Emerging Horizon towards Precision and Digital Health Care
Abstract Views :506 |
PDF Views:111
Authors
Affiliations
1 Aristocrat Technologies, Noida Sector 16, Uttar Pradesh, IN
2 Rapture Biotech International (P) Ltd., Sector 10, Noida − 201301, Uttar Pradesh, IN
1 Aristocrat Technologies, Noida Sector 16, Uttar Pradesh, IN
2 Rapture Biotech International (P) Ltd., Sector 10, Noida − 201301, Uttar Pradesh, IN
Source
Journal of Health Science Research, Vol 5, No 2 (2020), Pagination: 51-61Abstract
Digital revolution and advancement of information technologies, smart phone industry, multi-omic technologies, availability with 5G networks and emergence of big data era has greatly impacted on diagnostic, biomedical and e-healthcare sectors. Intelligent sensors, wearable, digital imaging, smart phone based diagnostic and connected networking provides smart approach and platform towards precision diagnostics. Recently, Internet of Things (IoT) have shown remarkable impact on diverge sectors such as digital imaging, smart sensing, digital diagnostic, digital biotech, telemedicine, precision farming, lab-on phone, smart home, smart city planning, smart retails and Research and Development (R&D) automation etc. Application of IoT technology in diagnostic and healthcare opens a way for personalization in the medical care depending on individual needs, additionally giving option for well-organized way for remote healthcare and management. This review focuses on theoretical, technological, advanced aspects of digital diagnostic utilizing IoT technology. Furthermore, we have also highlighted the opportunities and challenges for IoT in exploring the futuristic scope and innovation in diagnostic application. IoT based diagnostic, sensing and imaging devices provides unprecedented precision, automation in the diagnostic and thereby could significantly improve the biomedical and e-healthcare area.
Keywords
Digital Biomarkers, Digital Diagnostic, e-Health, Integrated Networking, Internet of Things.Full Text
References
- Xu DL, He W, Li S. Internet of things in industries: A survey, IEEE Transactions on Industrial Informatics. 2014; 10(4):2233–43. https://doi.org/10.1109/TII.2014.2300753.
- Basatneh R, Najafi B, Armstrong DG. Health sensors, smart home devices, and the internet of medical things: An opportunity for dramatic improvement in care for the lower extremity complications of diabetes, J. Diabetes Sci. Technol. 2018; 12(3):577-86. https://doi.org/10.1177/1932296818768618. PMid: 29635931, PMCid: PMC6154231.
- Vongsingthong S, Smanchat S. Internet of things: A review of applications and technologies, Suranaree J. Sci. Technol. 2014; 21(4):359-74.
- Hassan QF. Internet of Things A to Z: Technologies and Applications. John Wiley & Sons; 2018. p. 27-28. https://doi.org/10.1002/9781119456735.
- Gubbi J, Buyya R, Marusic S, Palaniswami M. Internet of Things (IoT): A vision, architectural elements, and future directions, Fut. Gen. Comp. Syst. 2013; 29(7):1645-60. https://doi.org/10.1016/j.future.2013.01.010.
- Mahmood Z. Connected Environments for the Internet of Things: Challenges and Solutions, Springer; 2018. p. 89-90. https://doi.org/10.1007/978-3-319-70102-8.
- Sadek RA. An agile Internet of Things (IoT) based Software Defined Network (SDN) architecture, Egypt Comp. Sci. J. 2018; 42(9):13-29.
- Silva BN, Khan M, Han K. Internet of things: A comprehensive review of enabling technologies, architecture, and challenges, IETE Tech. Review. 2018; 35(2):205-20. https://doi.org/10.1080/02564602.2016.1276 416.
- Zorzi M, Gluhak A, Lange S, Bassi A. From today’s intranet of things to a future internet of things: A wirelessand mobility-related view, IEEE Wireless Comm. 2017; 17(6):44-51. https://doi.org/10.1109/MWC.2010.5675777.
- Nayyar A, Puri V. Data glove: Internet of Things (IoT) based smart wearable gadget, J. of Advances in Math. and Comp. Sci. 2016; 15(5):1-12. https://doi.org/10.9734/BJMCS/2016/24854.
- Thierer AD. The internet of things and wearable technology: Addressing privacy and security concerns without derailing innovation, Richmond J. of Law and Techn. 2015; 21(2):6. https://doi.org/10.2139/ssrn.2494382.
- Hiremath S, Yang G, Mankodiya K. Wearable Internet of Things: Concept, architectural components and promises for person-centered healthcare. 2014 4th Int. conf. on Wireless mob. Comm.. and Healthcare. (MOBIHEALTH), Athens, Greece. doi: 10.1109/ MOBIHEALTH.2014.7015971. https://doi.org/10.4108/icst.mobihealth.2014.257440.
- Putri AO, Ali MA, Saad M, Hidayat SS. Wearable sensor and internet of things technology for better medical science: A review, Int. J. of Eng. and Techn. 2018; 7(4):11. https://doi.org/10.14419/ijet.v7i4.11.20677.
- Fernández-Caramés TM, Fraga-Lamas P. Towards the Internet of smart clothing: A review on IoT wearables and garments for creating intelligent connected e-textiles, Electronics. 2018; 7(12):405. https://doi.org/10.3390/electronics7120405.
- Castillejo P, Martínez JF, López L, Rubio G. An internet of things approach for managing smart services provided by wearable devices, Int. J. of Dis. 2013; 9(2). https://doi.org/10.1155/2013/190813.
- Amar AB, Kouki AB, Cao H. Power approaches for implantable medical devices, Sensors. 2015; 15(11):28889914. https://doi.org/10.3390/s151128889. PMid: 26580626, PMCid: PMC4701313
- Nasri F, Moussa N, Mtibaa A. Smart mobile system for health parameters follow ship based on WSN and android, World Cong. on Comp. and IT. 2013. doi: 10.1109/WCCIT.2013.6618733.
- https://doi.org/10.1109/WCCIT.2013.6618733.
- Biswas S, Gogoi AK. Design issues of piezoresistive MEMS accelerometer for an application specific medical diagnostic system. 2nd IEEE Int Conf on Emerg Elect (ICEE), IETE Techn. Review. 2016; 33(1):11-16. https://doi.org/10.1080/ 02564602.2015.1065713.
- Ullah K, Shah MA, Zhang S. Effective ways to use Internet of Things in the field of medical and smart health care, Int. Conf. on Intel. Syst. Engin. 2016. https://doi.org/10.1109/INTELSE.2016.7475151.
- Robinson DC, Mohanty S, Young J, Jones G, Wesemann D. Novel techniques for mapping infectious diseases using point of care diagnostic, Sens. Phy. and Tech. of Sens. (ISPTS), 2015 2nd Int Symp., Pune; 2015. p. 325-27. https://doi.org/10.1109/ISPTS.2015.7220139. PMid: 25524761.
- Sareen S, Sood SK, Gupta SK. IoT-based cloud framework to control Ebola virus outbreak, J. of Amb. Intell. and Hum. Comp. 2018; 9(3):459-76. https://doi.org/10.1007/s12652016-0427-7. PMid: 32218876, PMCid: PMC7091278.
- Akter S, Wilshire G, Davis JW, Bromfield JJ, Crowder S, Joshi T, Pelch KE, Schust DJ, Meng A, Barrier B, Nagel SC. A multi-omics informatics approach for identifying molecular mechanisms and biomarkers in clinical patients with endometriosis. 2017 IEEE Int. Conf. on Bioinfo. and Biomed; 2017. https://doi.org/10.1109/BIBM.2017.8218003.
- Zhan X, Zhou T, Cheng T, Lu M. Recognition of multiomicsbased molecule-pattern biomarker for precise prediction, diagnosis, and prognostic assessment in cancer, Bioinfo. Tools for Det. and Clin. Interp. of Gen. Var. 2019; 1-22. https://doi.org/10.5772/intechopen.84221.
- Burmester GR. Rheumatology 4.0: Big data, wearables and diagnosis by computer, Annals of the Rheum. Dis, 2018; 77:963-65. https://doi.org/10.1136/annrheumdis-2017-212888. PMid: 29802224, PMCid: PMC6029631.
- Lueth KL. IoT basics: Getting started with the Internet of things, White paper. 2015; 1-9.
- Truong HL, Dustdar S. Principles for engineering IoT cloud systems, IEEE Cloud Comp. 2015; 68-76. https://doi.org/10.1109/MCC.2015.23.
- Desai P, Sheth A, Anantharam P. Semantic gateway as service architecture for IoT interoperability, 2015 IEEE Int. Conf. on Mob. Serv.; 2015. p. 313-19. https://doi.org/10.1109/MobServ.2015.51.
- Fortino G, Guerrieri A, Russo W, Savaglio C. Integration of agent-based and cloud computing for the smart objectsoriented IoT, 2014 IEEE 18th Int. Conf. on Comp. Supported Coope Work in Desig; 2014. https://doi.org/10.1109/CSCWD.2014.6846894.
- Sundaravadivel P, Kougianos K, Mohanty SP, Ganpathiraju MK. Everything you wanted to know about smart health care: Evaluating the different technologies and components of the Internet of Things for better health, IEEE Cons. Elect. Mag. 2018; 7(1):18-28. https://doi.org/10.1109/MCE.2017.2755378.
- Chun S, Seo S, Oh B, Lee KH. Semantic description, discovery and integration for the Internet of things. Proceedings of the 2015 IEEE 9th Int. Conf. on Semantic Comp; 2015. 27275. https://doi.org/10.1109/ICOSC.2015.7050819. PMid: 25381844.
- Broring A, Schmid S, Schindhelm CK, Khelil A, Kabisch S, Kramer D, Phuoc DL, Mitic J, Anicic D Teniente E. Enabling IoT ecosystems through platform interoperability, IEEE Software, 2017. https://doi.org/10.1109/MS.2017.2.
- Keramidas G, Voros N, Hübner M. Components and Services for IoT Platforms, Springer; 2016. Doi: 10.1007/978-3-31942304-3. https://doi.org/10.1007/978-3-319-42304-3.
- Xu G, Shi Y, Sun X, Shen W. Internet of things in marine environment monitoring: A review, Sensors, 2019; 19:1711. https://doi.org/10.3390/s19071711. PMid: 30974791, PMCid: PMC6479338.
- Guo S, Qiang M, Luan X, Xu P, He G, Yin X, Xi L, Jin X, Shao J, Chen X, Fang D, Li B. The application of the Internet of things to animal ecology, Integr. Zool. 2015; 10(6):572-78. https://doi.org/10.1111/1749-4877.12162. PMid: 26338071.
- Gope P, Hwang T. BSN-care: A secure IoT-based modern healthcare system using body sensor network, IEEE Sens. J. 2016; 16(5):1368–76. https://doi.org/10.1109/ JSEN.2015.2502401.
- Rateni G, Dario P, Cavallo F. Smartphone-based food diagnostic technologies: A review, Sensors (Basel). 2017; 17(6). https://doi.org/10.3390/s17061453. PMid: 28632188, PMCid: PMC5492046.
- Swaroop KN, Chandu K, Gorrepotu R, Deb S. A health monitoring system for vital signs using IoT, Internet of Things. Elsevier. 2019; 5:116-129. Doi 10.1016/j.iot.2019.01.004. https://doi.org/10.1016/j.iot.2019.01.004.
- Evans D. The Internet of things: How the next evolution of the internet is changing everything, CISCO White Paper. http://www.cisco.com/web/about/ac79/docs/innov/IoT_ IBSG_0411FINAL.pdf.
- Chen S., Xu H., Liu D., Hu B., Wang H. A vision of IoT: Applications, challenges, and opportunities with china perspective, IEEE Int. of Things J. 2014; 1(4):349-59. https:// doi.org/10.1109/JIOT.2014.2337336.
- Doukas C, Maglogiannis I. Bringing IoT and cloud computing towards pervasive healthcare, 2012 6th Int. Conf. on Inn. Mob. and Internet Serv. in Ubiq. Comp. https://doi.org/10.1109/IMIS.2012.26.
- Smys S, Chen JZ. Special issue on medical imaging technologies for IoT based wireless patient monitoring, Cur. Med. Imag. 2019; 15(8):711. https://doi.org/10.2174/ 157340561508190927122912. PMid: 32008539.
- Shah R, Chircu A. IoT and AI in healthcare: A systematic literature review, Issues in Inf. Syst. 2018; 19(3):33-41.
- Sangave NA, Aungst TD, Patel DK. Smart connected insulin pens, caps, and attachments: A review of the future of diabetes technology, Diabetes Spect. 2019; 32(4):378-84. https://doi.org/10.2337/ds18-0069. PMid: 31798296.
- Istepanian RSH, Jovanov E, ZhangYT. Guest editorial introduction to the special section on m-health: Beyond seamless mobility and global wireless health-care connectivity, IEEE Trans. Inf. Technol. Biomed. 2004; 8(4):405-14. https://doi.org/10.1109/TITB.2004.840019. PMid: 15615031.
- Yanchapaxi, C. Tipantuña, Calderón X. Wearable System for Monitoring of Human Physical Activities, Proc. of the 4th Int. Conf. on eDem. and eGov.; 2017. p. 245-50. https://doi.org/10.1109/ICEDEG.2017.7962543.
- Chen LB, Chang WJ, Su JP, Ciou JY, Ciou YJ, Kuo CC, Li KS. A wearable-glasses-based drowsiness-fatigue-detection system for improving road safety. 2016 IEEE 5th Global Conference on Consumer Electronics; 2016. https://doi.org/10.1109/GCCE.2016.7800456.
- Yang G, Jiang M, Ouyang W, Ji G, Xie H, Rahmani AM, Liljeberg P, Tenhunen H. IoT-based remote pain monitoring system: from device to cloud platform, IEEE J. Biomed. Health Inform. 2018; 22(6):1711-19. https://doi.org/10.1109/JBHI.2017.2776351. PMid: 29990259.
- Millana AM, Palao C, Llatas CF, de Carvalho P, Bianchi AM, Traver V. Integrated IoT Intelligent System for the Automatic Detection of Cardiac Variability. Conf. Proc. IEEE Eng. Med. Biol. Soc.; 2018. p. 5798-801.
- Grimberg BT, Grimberg KO. Hemozoin detection may provide an inexpensive, sensitive, 1-minute malaria test that could revolutionize malaria screening, Expert Rev. Anti. Infect. Ther. 2016; 14(10):879-83. https://doi.org/10.1080/14787210.2016.1222900. PMid: 27530228, PMCid: PMC5224914.
- Kostikis N, Hristu-Vasakelis D, Arnaoutoglon M, Kotsavasiloglou C. A smartphone-based tool for assessing Parkinson hand tremor, IEEE J. Biomed. Health Inform. 2015; 19(6):1835-42. https://doi.org/10.1109/JBHI.2015.2471093. PMid: 26302523.
- Pasluosta CF, Gassner H, Winkler J, Klucken J, Eskofier BM. An emerging era in the management of Parkinson’s disease: Wearable technologies and the Internet of Things, IEEE J, Biomed, Health Inform. 2015; 2168-94. https://doi.org/10.1109/JBHI.2015.2461555. PMid: 26241979.
- Klimova B, Kuca K Internet of things in the assessment, diagnostics and treatment of Parkinson’s disease. Health and Technology. 2018; 9:87-91. https://doi.org/10.1007/s12553-018-0257-z.
- Ferrari A, Ginis P, Hardegger M, Casamassima F, Rocchi L, Chiari L. A mobile Kalman-filter based solution for the real-time estimation of spatial-temporal gait parameters, IEEE Trans. Neural. Syst. Rehabil. Eng. 2016; 24(7):76473. https://doi.org/10.1109/TNSRE.2015.2457511. PMid: 26259246.
- Ellis RJ, Ng YS, Zhu S, Tan DN, Anderson B, Schlaug G, et al. A validated smartphone-based assessment of gait and gait variability in Parkinson’s disease, PLoS One. 2015; 10(10):e0141694. https://doi.org/10.1371/journal.pone.0141694. PMid: 26517720, PMCid: PMC4627774.
- Istepanian R, Hu S, Philip N, Sungoor A. The Potential of Internet of M-Health Things "m-IoT" for Non-Invasive Glucose Level Sensing, Conf. Proc. IEEE Eng. Med. Biol. Soc.; 2011. p. 5264-66. https://doi.org/10.1109/IEMBS.2011.6091302. PMid: 22255525.
- Klonoff DC. Fog computing and edge computing architectures for processing data from diabetes devices connected to the medical internet of things, J. Diabetes Sci. Technol. 2017; 11(4):647-52. https://doi.org/10.1177/1932296817717007. PMid: 28745086, PMCid: PMC5588847.
- Vijayalakshmi S. Image-guided surgery through internet of things, Internet of Things in Biomed Eng. 2019; 75-116. https://doi.org/10.1016/B978-0-12-817356-5.00005-X.
- Lee KA, Yim E, Kim A. Medical diagnosis based on IOT using Arduino, Ind. J. of Pub. Health R&D. 2018, 9(12):270859. https://doi.org/10.5958/0976-5506.2018.02157.5.
- Sudha S, Shruthi P, Sharanya M. IoT based measurement of body temperature, Int. Res. J. of Eng. and Tech. 2018; 05(3):3913-15. https://www.irjet.net/archives/V5/i3/IRJET-V5I3916.pdf.
- Dias D, Silva Cunha. JP. Wearable health devices-vital sign monitoring, systems and technologies, Sensors. 2018; 18:2414-. https://doi.org/10.3390/s18082414. PMid: 30044415, PMCid: PMC6111409.
- Heinemann L, Krämer U, Klötzer HM, Hein M, Volz D, Hermann M, Heise T, Rave K. Noninvasive Glucose measurement by monitoring of scattering coefficient during oral glucose tolerance tests, Diabetes Tech. & Ther. 2000; 2(2):211-20. https://doi.org/10.1089/15209150050025168. PMid: 11469261.