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Exploring Innovation | ISSN:2319–6378(Online)| Reg. No.:68120/BPL/CE/12 | Published by BEIESP | Impact Factor:4.72
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Volume-4 Issue-8: Published on February 25, 2017
02
Volume-4 Issue-8: Published on February 25, 2017

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S. No

Volume-4 Issue-8, February 2017, ISSN:  2319–6378 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.

1.

Authors:

Md. Tusar Ali, Iqubal Hossain, Md. Abdul Gaffer

Paper Title:

Manufacturing of Silica Refractories from Locally Available Sand

Abstract: The investigation implies the use of silica sands, available in Bangladesh, as raw materials for silica bricks manufacturing and compare their properties with specification requirement in order to use these raw materials in manufacturing silica bricks to support the application in lining of induction furnaces and kilns, ladles in metallurgical industries and to replace the imported silica brick. This silica sands containing silica, alumina and excess amount of iron-oxide has been suitable for these bricks made by employing a simple hand mould pressing and sintering process. The production of silica refractory bricks from local sand have been remarkably changed by the addition of various amount of additives. The method for the preparation of these bricks has consisted of mixing the local sand with CaO (slurried lime). This lime acts as a binder and mineralizes in order to convert the free quartz to tridymite and crystobalite. The various properties of silica bricks are found to change with the addition of lime.

Keywords:
 Silica %, Refractory, Refractoriness and CaO (slurried lime)              


References:

1.    Mohantly, P.N. Singh and G.D. Smith. Silica, a critical study, part 1 and part 2. Refractories, Vol. 12, PP 5-9, (1986).
2.    Vishenvskii, I. and E.T.Akselrod, Thermal of Dinas containing additives. Refractories, Vol. 22, PP 504-507, (1981).

3.    Baume, P.K., Production and Properties of Supper duty of Solid. Refractories, PP 6-1, (1986).
4.    Agarwal.B.C. & Jain.S.P: A text book of metallurgical Analysis, Khanna Publisher, New Delhi, PP 74, (1987).
5.    Radgeh, G.C., Refractory materials of the conflict with nature. Refractories, Research Association LTD, PP 6-15, (1984).

6.    Mahmud Alam, “Effect of Grog on the properties of Fireclay Refractory”, B.Sc. Engineering thesis, Bangladesh University of Engineering & Technology, pp 2-3, (January 2008).

7.    O. P. Gupta, “A Text Book of Element of Fuels    Furnaces and Refractories”, Khanna Publisher, ed. PP 630-636, (2005-06).

8.    Sidney H. Avner, “Introduction To Physical Metallurgy” Published by Tata McGraw-Hill publishing company Limited, pp 620, Sixteenth reprint 2006.


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2.

Authors:

Michael Kwabena Kwakye-Okyere

Paper Title:

Innovatively Utilizing Cloud Computing To Minimize Challenges to Small and Medium Enterprises’ (SMEs) Business Operations

Abstract: Small and Medium Enterprises (SMEs) are very important business entities that contribute immensely to economies of the world, unfortunately SMEs have challenges in their business operations compared with the bigger firms and find it difficult to survive in a dynamic global economy. Survival, growth and success of SMEs are the priority of every nation especially in developing economies. The aim of this paper is to introduce Cloud Computing as an IT solution for SMEs by identifying the key features, benefits and how CC can be strategically employed. CC as an advanced Technology can enhance SME business operations and make them competitive in a dynamic global market by reducing cost through a more scalable IT infrastructure model, reengineer business processes through the application of PaaS, SaaS, IaaS, CaaS, NaaS and be innovative in order to keep up with current trends. Reviewing existing literature on CC in the form of books, journals and articles showed that SMEs in developed economies’ reliance on cloud computing help improved their business operations significantly. The major outcome of using CC is that SMEs are able to reduce both capital and operational expenditures associated with IT Infrastructure, improve their business operations and be innovative.

Keywords:
Cloud Computing (CC), Innovation, IT Infrastructure, Reengineering, Small and Medium Enterprises (SMEs), SME Business Operations     


References:

1.    OECD (2002) Small and Medium Enterprise Outlook, Paris.
2.    APEC (2000), “SME Guide”, Second Edition, www.apecsec.org.sg.

3.    FUNDES (2002), “Small and Medium-sized Enterprises in the Fundes Region” (Argentina, Bolivia, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico, Panama and Venezuela), www.fundes.org.

4.    Ayyagari, Meghana., Thorsten Beck, Asli Demirgüc-Kunt (2003), “Small and Medium Enterprises across the Globe”, World Bank Policy Research Working Paper 3127, August, Washington D.C.

5.    Ambrust, M., Fox, A., Griffith, R., Joseph, A., Katz, r., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I. and Zaharia, M., 2009, Above the Clouds: A Berkeley View of Cloud Computing, UC Berkeley RAD Systems Labs.

6.    Sotomayor, B., Montero, R., Llorente, I. and Foster, I., 2009, Virtual infrastructure management in private and hybrid clouds, IEEE Internet Computing, 13(5):14:22.

7.    Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I. and Zaharia, M. (2010). A View of Cloud Computing, Communications of the ACM, 53, 4, 50-58.

8.    Saroj Kar (2015a) Enterprises Migrating IT Infrastructure Investments to the Cloud – IDC Report. Retrieved August 14, 2016, from http://cloudtimes.org/2015/07/10/enterprises-migrating-it-infrastructure-investments-to-the-cloud-idc-report/

9.    Saroj Kar (2015b) Enterprises Migrating IT Infrastructure Investments to the Cloud – IDC Report. Retrieved August 14, 2016, from http://cloudtimes.org/2015/07/10/enterprises-migrating-it-infrastructure-investments-to-the-cloud-idc-report/


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3.

Authors:

Gifty Love Cromwell

Paper Title:

Cloud Computing: a Tool for the Development of SME’s

Abstract:  Cloud Computing has emerged an effective Information technology engine.  This has become imperative due to advancement and technology innovation and its adoption for enterprises, businesses and organizations to aid them stay competitive. After a normative study, comparing and contrasting problems SME’s face in their quest for development, this research found out lack of funds and IT needs as in infrastructure as greater problem in all spheres of life which researchers have mentioned CC to be the solution to it but as to how SME’s could migrate to CC has been scarce or a lacking factor.  This research,  however, contributes to a body of knowledge and existing literatures on CC bringing out a lucid and conceptual evidence to aid the none existence or scarcity of information on whether CC is new and how SME’s can migrate into CC. It tries to explain what development means in SME’s perspective, it further finds the key factors that influence the success and failure of SME’s, and the role CC can play in the development of SME’s.  In addition it talks about CC, some additional features, types, some service providers of CC, implementation and deployment models and its advantages. It further provides the business perspective of cloud computing vs. virtualization and related technologies of CC and finally presents ways SME’s could migrate into CC which are guidelines for SME’s especially in  Sub-Saharan African’s development since technology is now the drive force.  Future research will consider the technological use and empirical security measures of CC.

Keywords:
Cloud Computing, Small and Medium-sized Enterprises (SME’s), Development, Technology Innovation, Virtualization, Migration.


References:

1.        Feng Lin, 2015- 08
2. Amin J. et al., (2014a), Cloud computing service composition, retrieved from: https://www.researchgate.net/publication/259266163_Cloud_Computing_Service_Composition_A_Systematic_Literature_Review

3.        Juncal Z. et al, (July 2012) http://www.adingor.es/congresos/web/uploads/cio/cio2012/EN_09_Information_Systems_and_ICT/637-644.pdf  In: ‘’Etro F, (2009) The economic impact of cloud computing on business creation, employment and output in Europe. Review of Business and Economics 49(2): 179-208.

4.        Thomas, 2004:1,2.  In: Sofia, (2012) – Analysis of the situation and factors for development of SME’s in Bulgaria: 2011-2012.

5.        Mba O. A. and Cletus I.E. Issues, Challenges and Prospects of Small and Medium Scale Enterprises (SMEs) in Port-Harcourt City, Nigeria. In: Lalkaka, R. (1997). Support Mechanism for Small Enterprises in Transition Economies, World Association of Industrial and Technological Research Organizations. Strategy for Employment Generation in Nigeria. Journal of Sustainable Development, Canadian Center of Science and Education. Vol. 4(1):200- 2006.
http://www.ecsdev.org/images/V3N1/agwu%20101-114.pdf

6.        Menefee et al., 2006

7.        Uguwushi B. I., (2009) A comparison between; United Kingdom and Nigeria.  In: Arinaitwe S. K (2006) Factors Constraining the Growth and Survival of Small Scale Businesses. A Developing Countries Analysis. Journal of American Academy of Business, Cambridge, 8(2): 167-179.

8.        Uguwushi B. I. 2009, A comparison between; United Kingdom and Nigeria.  In: Adenikinju A 2005. Analysis of the cost of infrastructure failures in a developing economy: The case of the electricity sector in Nigeria. African Economic Research Consortium (AERC). Research Paper 148. February.

9.        Cheng H. et al., (2014) Analysis on financial difficulties for SME’s due to Asymmetric Information. Retrieved from: http://publicationslist.org/data/gdeb/ref-7/GDEB_6.4.pd

10.     Mba O. A. and Cletus I.E. Issues, Challenges and Prospects of Small and Medium Scale Enterprises (SMEs) in Port-Harcourt City, Nigeria.  In: Aremu, M. A. and Adeyemi, S.A. (2011).Small and Medium Scale Enterprises as A Survival. Joshua A and Peter Q (2010). Issues in SME Development in Ghana and South Africa. In (Steel and Webster, 1991; Aryeetey, 2001), (Hassbroeck, 1996; Berry et al., 2002), (CSS, 1998; Ntsika, 1999; Gemede, 2000; Burry et al., 2002).  Retrieved from: http://www.smmeresearch.co.za/SMME%20Research%20General/Journal%20Articles/Issues%20in%20SME%20development%20in%20Ghana%20and%20SA.pdf

11.     Amin J. et al., (2014 a & ) , Cloud computing service composition, retrieved from: https://www.researchgate.net/publication/259266163_Cloud_Computing_Service_Composition_A_Systematic_Literature_Review

12.     Dalberg, (2011). Report on support to SME’s in Developing Countries through financial intermediaries. In: World Bank Enterprise Surveys: World Bank list of Enterprises. http://www.eib.org/attachments/dalberg_sme-briefing-paper.pdf

13.     Reuven Cohen (Forbes), Is cloud computing really cheap? Retrieved from: http://www.forbes.com/sites/reuvencohen/2012/08/03/is-cloud-computing-really-cheaper/#746d3dad1ccf

14.     Stefan H. and Stefan H (2012) Cloud Computing, clear skies ahead. Retrieved from: https://www.dbresearch.com/PROD/DBR_INTERNET_EN-PROD/PROD0000000000285827.pdf

15.     Deloitte. Google, 2014. Small business, big technology. How the cloud enables rapid growth in SMBs Retrieved from: https://www2.deloitte.com/content/dam/Deloitte/global/Documents/Technology-Media-Telecommunications/gx-tmt-small-business-big-technology.pdf

16.     Joe Weinman, (2011) Cloud Computing is NP-Complete (Definition)http://joeweinman.com/Resources/Joe_Weinman_Cloud_Computing_Is_NP-Complete.pdf

17.     Mladenow et al.,2012 Wikipedia, Cloud Computing,  (implementation/deployment models),  Retrieved from:  https://en.wikipedia.org/wiki/Cloud_computing#Origin_of_the_term,

18.     Dillion. Chen & Chang, 2010. Cloud Computing: Issues and Challenges

19.     Juncal Z. et al., (July 2012) http://www.adingor.es/congresos/web/uploads/cio/cio2012/EN_09_Information_Systems_and_ICT/637-644.pdf “Bohm M. et al., (2011) Cloud Computing – outsourcing 2.0 or a new business model for IT provisioning?  In: F.Keuper, C. Oecking & A. Degenhardt (Eds.), Application management (31-56) Gabler.doi.10.1007/978-3-8349-6492-2_2

20.     Juncal Z. et al., (July 2012) (a  &  b) http://www.adingor.es/congresos/web/uploads/cio/cio2012/EN_09_Information_Systems_and_ICT/637-644.pdf  in “Etro F, (2010) The Economic Consequence of the Diffusion of Cloud Computing. The Global Information Technology Report 2009-2010 at World Economic Forum. 107-112.

21.     Wikipedia, Cloud Computing,  In: “NIST  Definition,  Retrieved from:  https://en.wikipedia.org/wiki/Cloud_computing#Origin_of_the_term,   Qi Z. et al,. (2010) Cloud Competing: State of the art and research challenges http://cloud.pubs.dbs.uni-leipzig.de/sites/cloud.pubs.dbs.uni-leipzig.de/files/fulltext.pdf “NIST Definition of Cloud Computing v15.csrc.nist.gov/groups/SNS/cloud-computing/cloud-def-v15.doc

22.     Reza S. et al., (2012), http://link.springer.com/chapter/10.1007%2F978-3-642-32775-9_19#page-1  In: “Leiemeister . S., Christopher et al., The Business Perspective of Cloud Computing: Actors, Roles and Value Networks. In: European Conference on Information Systems (2010)

23.     Christopher S. Yoo, (2011) Cloud Computing: Architectural and Policy Implementations.   Retrieve from: https://techpolicyinstitute.org/wp-content/uploads/2011/01/cloud-computing-architectural-2007458.pdf

24.     Rajesh A Dhote et al., 2013

25.     Domenico Consoli, (2012). Literature analysis on determinant factors and the impact of ICT on SME’s. Retrieved from: http://ac.els-cdn.com/S187704281203457X/1-s2.0-S187704281203457X-main.pdf?_tid=6a919894-fe90-11e6-8da2-00000aacb361&acdnat=1488380870_cf057b990bfd399387cf837e7fb9fab3                                        

26.     Attewell and Love  et al., (2001) http://www.sciencedirect.com/science/article/pii/S187704281203457X

27.     Margi Levy and Philip Powell (2002) SME internet adoption towards a transporter model. https://pdfs.semanticscholar.org/2a1a/5baa86f64f5ace95fecf2ccf2594231c6ccf.pdf


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4.

Authors:

Mohd. Khanapi Abd Ghani, Ali Fahem Neamah

Paper Title:

The Adoption of Electronic Health Record Model for Healthcare Organizations in Iraq: An Overview

Abstract: Electronic health record (EHR) is an essential healthcare innovation related to many controversies regarding the challenges and benefits to different stakeholders. The adoption of EHR innovation is a complicated task as discussed by the literature; thus, careful consideration and planning to all crucial factors that affect the adoption process through healthcare staff members is required. The aim of this study is to evaluate the factors that influence the adoption of EHR frameworks in healthcare institutions. These include challenges, barriers, methods and best practices EHR implementation in developed and middle-east countries. The study was performed utilizing a non-experimental study exploratory research design. This exploratory study included an essential investigation about secondary data. Through reviewing the literature of the existing frameworks, it is hope that the findings could be used as inputs for proposition of e-health records framework in Iraq. It was noted that the health section in Iraq needs continued attention to get government support. 

Keywords:
  EHR, IT adoption, Healthcare information system, E-Health, EMR, EHR adoption.


References:

1.        Abd Ghani, M. K., Bali, R. K., Naguib, R. N., Marshall, I. M., & Wickramasinghe, N. S. (2008). Electronic health records approaches and challenges: a comparison between Malaysia and four East Asian countries. International Journal of Electronic Healthcare, 4(1), 78-104. 
2.        Anderson, G. F., Frogner, B. K., Johns, R. A., & Reinhardt, U. E. (2006). Health care spending and use of information technology in OECD countries. Health affairs, 25(3), 819-831. 

3.        Archer, N., & Cocosila, M. (2011). A comparison of physician pre-adoption and adoption views on electronic health records in Canadian medical practices. Journal of medical Internet research, 13(3), e57. 

4.        Ayers, D. J., Menachemi, N., Ramamonjiarivelo, Z., Matthews, M., & Brooks, R. G. (2009). Adoption of electronic medical records: the role of network effects. Journal of Product & Brand Management, 18(2), 127-135. 

5.        Ben-Zion, R., Pliskin, N., & Fink, L. (2014). Critical success factors for adoption of electronic health record systems: literature review and prescriptive analysis. Information Systems Management, 31(4), 296-312. 

6.        Berner, E. S., Detmer, D. E., & Simborg, D. (2005). Will the wave finally break? A brief view of the adoption of electronic medical records in the United States. Journal of the American Medical Informatics Association, 12(1), 3-7. 

7.        Boonstra, A., & Broekhuis, M. (2010). Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC health services research, 10(1), 1. 

8.        Chang, I.-C., & Hsu, H.-M. (2012). Predicting medical staff intention to use an online reporting system with modified unified theory of acceptance and use of technology. Telemedicine and e-Health, 18(1), 67-73. 

9.        Cohn, K. H., Berman, J., Chaiken, B., Green, D., & Scherger, J. E. (2009). Engaging physicians to adopt healthcare information technology. Journal of Healthcare Management, 54(5), 291. 

10.     Cucciniello, M., Lapsley, I., Nasi, G., & Pagliari, C. (2015). Understanding key factors affecting electronic medical record implementation: a sociotechnical approach. BMC health services research, 15(1), 1. 

11.     Culler, S. D., Fleming, N. S., Ballard, D. J., McCorkle, R., & Becker, E. R. (2011). The financial and nonfinancial costs of implementing electronic health records in primary care practices. Health affairs, 30(3), 481-489. 

12.     David, B. (2005). Physicians and ambulatory electronic health records. Health affairs, 24(5), 1180-1189. 

13.     David, H. U., & Steffie, W. (2005). Hope and hype: predicting the impact of electronic medical records. Health affairs, 24(5), 1121-1123. 

14.     deGannes Scott, B. J. (2006). Can Developing Countries Overcome the Digital Divide? Information Technology in Trinidad and Tobago. Western Journal of Black Studies, 30(2), 75. 

15.     DesRoches, C. M., Rao, S. R., Donelan, K., Campbell, E. G., Miralles, P. D., & Jha, A. K. (2011). Electronic health records in small physician practices: availability, use, and perceived benefits. JAMIA, 18(3), 271-275. 

16.     Eden, K. B. (2002). Selecting information technology for physicians' practices: a cross-sectional study. BMC medical informatics and decision making, 2(1), 1. 

17.     Fisher, B., Bhavnani, V., & Winfield, M. (2009). How patients use access to their full health records: a qualitative study of patients in general practice. Journal of the Royal
Society of Medicine, 102(12), 539-544. 

18.     Follen, M., Castaneda, R., Mikelson, M., Johnson, D., Wilson, A., & Higuchi, K. (2007). Implementing health information technology to improve the process of health care delivery: a case study. Disease Management, 10(4), 208-215. 

19.     Fraser, H., Biondich, P., Moodley, D., Choi, S., Mamlin, B., & Szolovits, P. (2005). Implementing electronic medical record systems in developing countries. Journal of Innovation in Health Informatics, 13(2), 83-95. 

20.     Galt, K. A., Bramble, J. D., Siracuse, M. V., Abbott, A. A., Drincic, A., Paschal, K. A., & Fuji, K. T. (2010). The relationship between physician practice characteristics and physician adoption of electronic health records. Health care management review, 35(1), 55-64. 

21.     Grimson, J. (2001). Delivering the electronic healthcare record for the 21st century. International journal of medical informatics, 64(2), 111-127. 

22.     Higgins, P., Felt-Lisk, S., & Au, M. (2009). Health information exchange: The role of safety-net providers: Mathematica Policy Research, Incorporated.

23.     Hing, E., Burt, C. W., & Woodwell, D. (2006). Electronic medical record use by office-based physicians: United States, 2005. Health E-Stats. 

24.     Holden, R. J. (2010). Physicians’ beliefs about using EMR and CPOE: in pursuit of a contextualized understanding of health IT use behavior. International journal of medical informatics, 79(2), 71-80. 

25.     Holden, R. J. (2012). Social and personal normative influences on healthcare professionals to use information technology: towards a more robust social ergonomics. Theoretical Issues in Ergonomics Science, 13(5), 546-569. 

26.     Ilie, V., Van Slyke, C., Parikh, M. A., & Courtney, J. F. (2009). Paper versus electronic medical records: the effects of access on physicians' decisions to use complex information technologies. Decision Sciences, 40(2), 213-241. 

27.     Jenter, C., Kaushal, R., Bates, D., Mills, S., Volk, L., Burdick, E., . . . Simon, S. (2009). Imminent adopters of electronic health records in ambulatory care. Journal of Innovation in Health Informatics, 17(1), 7-15. 

28.     Kateri, C. (2007). Capturing medical data in the EMR. Medical Laboratory Observer, 39(5), 28. 

29.     King, J., Patel, V., Jamoom, E. W., & Furukawa, M. F. (2014). Clinical benefits of electronic health record use: national findings. Health services research, 49(1pt2), 392-404. 

30.     Lee, O. F., & Meuter, M. L. (2010). The adoption of technology orientation in healthcare delivery: Case study of a large-scale hospital and healthcare system's electronic
health record. International Journal of Pharmaceutical and Healthcare Marketing, 4(4), 355-374. 

31.     Lenert, L., & Sundwall, D. N. (2012). Public health surveillance and meaningful use regulations: a crisis of opportunity. American journal of public health, 102(3), e1-e7. 

32.     Li, H. Z., Bensing, J., Verheul, W., & van Dulmen, A. (2008). Patient anxiety in the medical encounter: a study of verbal and nonverbal communication in general practice. Health Education, 108(5), 373-383. 

33.     Li, H. Z., Del Piccolo, L., Angela Mazzi, M., Scardoni, S., Gobbi, M., & Zimmermann, C. (2008). A theory-based proposal to evaluate patient-centred communication in medical consultations: the Verona Patient-centred Communication Evaluation scale (VR-COPE). Health Education, 108(5), 355-372. 

34.     Lim, M. C., Patel, R. P., Lee, V. S., Weeks, P. D., Barber, M. K., & Watnik, M. R. (2015). The long-term financial and clinical impact of an electronic health record on an academic ophthalmology practice. Journal of ophthalmology, 2015. 

35.     Ludwick, D., & Doucette, J. (2009). Primary care physicians' experience with electronic medical records: barriers to implementation in a fee-for-service environment. International Journal of Telemedicine and Applications, 2009, 2. 

36.     Luo, J. S. (2006). Tech advisor technology adoption: managing change Primary Psychiatry, 13(8), 20-23. 

37.     MacKinnon, W., & Wasserman, M. (2009). Integrated electronic medical record systems: critical success factors for implementation. Paper presented at the System Sciences, 2009. HICSS'09. 42nd Hawaii International Conference on.

38.     Medicaid, & Medicare Services, H. (2012). Medicare and Medicaid programs; electronic health record incentive program--stage 2. Final rule. Federal register, 77(171), 53967. 

39.     Menachemi, N. (2006). Barriers to ambulatory EHR: who are'imminent adopters' and how do they differ from other physicians? Journal of Innovation in Health Informatics, 14(2), 101-108. 

40.     Miller, R. H., & Sim, I. (2004). Physicians’ use of electronic medical records: barriers and solutions. Health affairs, 23(2), 116-126. 

41.     Morton, M. E., & Wiedenbeck, S. (2010). EHR acceptance factors in ambulatory care: a survey of physician perceptions. EHR Acceptance Factors in Ambulatory Care: A Survey of Physician Perceptions/AHIMA, American Health Information Management Association. 

42.     OpenClinical. (2005). Electronic medical records, electronic health records. Retrieved from http://www.openclinical.org/emr.html#refs. 

43.     Price, A. (2010). A study of factors influencing physician adoption of electronic medical records technology. Grenoble Ecole de Management. 

44.     Savage, N. (2012). Better medicine through machine learning. Communications of the ACM, 55(1), 17-19. 

45.     Seeman, E., & Gibson, S. (2009). Predicting acceptance of electronic medical records: is the technology acceptance model enough? SAM Advanced Management Journal, 74(4), 21. 

46.     Sim, I., & Miller, R. H. (2004). Physicians’ use of electronic medical records: barriers and solutions. Health affairs, 23(2), 116-126. 

47.     Simon, S. R., Kaushal, R., Cleary, P. D., Jenter, C. A., Volk, L. A., Poon, E. G., . . . Bates, D. W. (2007). Correlates of electronic health record adoption in office practices: a statewide survey. Journal of the American Medical Informatics Association, 14(1), 110-117. 

48.     Song, P. H., Scheck McAlearney, A., Robbins, J., & McCullough, J. S. (2011). Exploring the business case for ambulatory electronic health record system adoption. Journal of Healthcare Management, 56(3), 169. 

49.     Stockdale, R., Day, K., Heart, T., O'Reilly, P., Sammon, D., & O'Donoghue, J. (2009). Bottom-up or top-down? A comparative analysis of electronic health record diffusion in Ireland and Israel. Journal of Systems and Information Technology, 11(3), 244-268. 

50.     Tang, P. C., & Lansky, D. (2005). The missing link: bridging the patient–provider health information gap. Health affairs, 24(5), 1290-1295. 

51.     Triandis, H. C. (1979). Values, attitudes, and interpersonal behavior. Paper presented at the Nebraska symposium on motivation.

52.     Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. 

53.     Venkatesh, V., Sykes, T. A., & Zhang, X. (2011). 'Just what the doctor ordered': a revised UTAUT for EMR system adoption and use by doctors. Paper presented at the System Sciences (HICSS), 2011 44th Hawaii International Conference on.

54.     Vicknair, D., Spruell, J., & Dochterman, S. (2010). Capturing the financial benefits of electronic medical record investments in the small medical practice. Journal of Business & Economics Research (JBER), 8(6). 

55.     Walter, Z., & Lopez, M. S. (2008). Physician acceptance of information technologies: Role of perceived threat to professional autonomy. Decision Support Systems, 46(1), 206-215. 

56.     Weed, L. L. (1968). Special article: Medical records that guide and teach. New England Journal of Medicine, 278(12), 593-600. 

57.     Wiedenbeck, S., & Morton, M. E. (2009). A framework for predicting EHR adoption attitudes: a physician survey. Perspect Health Inf Manag, 6, 1a. 

58.     Yarbrough, A. K., & Smith, T. B. (2007). Technology acceptance among physicians: a new take on TAM. Medical Care Research and Review. 

59.     Zhou, L., Soran, C. S., Jenter, C. A., Volk, L. A., Orav, E. J., Bates, D. W., & Simon, S. R. (2009). The relationship between electronic health record use and quality of care over time. Journal of the American Medical Informatics Association, 16(4), 457-464.


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5.

Authors:

Saeed Khodary M. Hamouda, Reda. H. Abo El-Ezz, Mohammed E. Wahed

Paper Title:

Intelligent System for Predicting and Diagnosis of Breast Cancer

Abstract:  Cancer is a disease in which cells in the body grow out of control. When cancer starts in the breast, it is called breast cancer. Breast cancer is one of the major death causing diseases of the women in the world. Every year more than million women are diagnosed with breast cancer more than half of them will die because of inaccuracies and delays in diagnosis of the disease. High accuracy in cancer prediction is important to improve the treatment quality and the survivability rate of patients. This paper, presents a Rough Set Theory (RST) as an efficient and intelligent technique, to analyze breast cancer dataset, approximate set classification, and improve the accuracy of diagnosis with limited attributes. (RST) estimates the risk of the breast cancer at the earlier stage, and may help researchers and consultants for predicting and diagnosis of breast cancer early.

Keywords:
  Breast Cancer, Diagnosis, MATLAB, Predictive, Rough Set Theory, Survivability.


References:

1.     Breast Cancer Foundation, “About Breast Cancer”,  (2016) available at: http://www.nationalbreastcancer.org/about-breast-cancer
2.     Cancer.Net Editorial Board, “Breast Cancer”, (2016), available at: http://www.cancer.net/cancer-types/breast-cancer

3.     American Cancer Society, “Breast Cancer types”, (2016) available at: http://www.cancer.org/cancer/breastcancer/detailedguide/breast-cancer-breast-cancer-types

4.     National Cancer Institute, (2016) available at: http://www.cancer.gov/cancertopics/types/breast

5.     American Cancer Society, California Cancer Registry (CCR), Cancer Stage at Diagnosis, (2016), available at: http://www.cdph.ca.gov or http://www.ccrcal.org

6.     Cancer Staging, General Cancer Classification, Staging, And Grouping Systems, available at: http://stedmansonline.com/webFiles/Dict-Stedmans28/APP21.pdf

7.     Carter et. Al. (January-1989), "Relation of Tumor Size, Lymph Node Status, and Survival in 24,740 Breast Cancer Cases", PROGNOSTIC FACTORS FOR BREAST CANCER, (1989) Vol. 63.

8.     Abdelghani Bellaachia, Erhan Guven, (2005), "Predicting Breast Cancer Survivability using Data Mining Techniques", Department of Computer Science, The George Washington University Washington DC 20052.

9.     Breast Cancer Organization, available at: http://www.breastcancer.org/ risk/factors/

10.  Breast Cancer Organization, available at: http://www.breastcancer.org/symptoms/

11.  American Cancer Society, California Department of Health Services, (2016), "A Woman’s Guide To Breast Cancer Diagnosis And Treatment, Breast Cancer Early Detection Program", available at: http://www.ombc.ca.gov/forms_pubs/breast_cancer.pdf

12.  Silvia Rissino and Germano Lambert-Torres, (2009), "Rough Set Theory – Fundamental Concepts, Principals, Data Extraction, and Applications", Federal University of Rondonia, Itajuba Federal University Brazil.

13.  Pawlak, Z., Grazymala-Busse, J. W., Slowinski, R., and Ziarko, W., (1995), "Rough sets. Communications of the ACM", 38, 88-95.

14.  Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin, (May-2000), "Rough Set Methods and Applications", Warsaw, Izumo City, San Jose.

15.  Hirano S. and Tsumoto S., (2005), "Rough representation of a region of interest in medical images", International Journal of Approximate Reasoning, vol.40, pp.2334.

16.  ZDZISJdAW PAWLAK , (1984), "Rough classification", Institute of Computer Science, Polish Academy of Sciences, Poland,  Int. J. Man-Machine Studies, vol.20,p 469-483.

17.  Zdzisław Pawlak, (2002), "Rough set theory and its applications", Journal of Telecommunications and Information Technology 44-000 Gliwice, Poland.

18.  Jan G. Bazan1, Hung Son Nguyen, Sinh Hoa Nguyen Piotr Synak , Jakub Wr6blewski, "Rough Set Algorithms in Classification Problem", Institute of Mathematics, Warsaw University, 2, 02-097 Warsaw , Poland.

19.  Stankov, J. E. Bargallo-Rocha, A. Namendys-Silva Silvio, M. T. Ramirez, K. Stankova-Ninova, and A.Meneses-Garcia, (2012), "Prognostic Factors and Recurrence in Breast Cancer", Experience at the National Cancer Institute of Mexico, International Scholarly Research Network ISRN Oncology, Article ID 825258, 7pages doi:10.5402/2012/825258.


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6.

Authors:

Yalla Hareesh, Yelithoti Sravana Kumar

Paper Title:

Design and Operation of 4X1 Low Power Multiplexer using Different Logics

Abstract: Low power and high speed digital circuits are basic needs for any of digital circuit. Multiplexer is a basic circuit for any digital circuit. In this paper, different techniques of multiplexer designs like Complementary CMOS, Transmission gate, Pass transistor logic, Dual Pass transistor logic styles and Gate Diffusion Input has been introduced and their comparison on the basis of power, delay and Area (number of transistor) is done. A low power Multiplexer has been introduced which consumes least power as compare to above mentioned logic but have more delay as compare to other ,On the basis of these analyses it is concluded that proposed multiplexer is better technique for designing an low power low area Multiplexer design but it has high delay as compare to other Multiplexer.

Keywords:
CMOS, DPTL, PT, TG, GDI


References:

1.     "Design And Simulation Of 4*1 Mux Based On Low Power Design Techniques"- volume 2 Issue 2 March-April 2015
2.     "Design of Low power multiplexers using different Logics"- Vol.- 4, Issue – 2 pp 2229 – 6646

3.     "low power cmos logic circuits"  volume 2 Issue 2 481-520

4.     "Top-down pass transistor logic design"  IEEE J. Solid-State Circuits, vol. 31, pp 792–803, June1996.

5.     "Low power CMOS digital design," IEEE J. Solid- State Circuits, vol 27, pp.473– 484, Apr. 1992.

6.     "Low-power logic styles: CMOS versus pass- transistor logic" IEEE J. Solid-State Circuits, vol. 32, no. 7, pp. 1079{1090, Jul. 1997.

7.     "Design of Energy Efficient Arithmetic Circuits Using Charge Recovery Adiabatic Logic" in IJETT, 2013.
8.     "Gate-diffusion input (GDI) – A technique for low power design of digital circuits: Analysis and characterization,” in ISCAS, May 2002.
9.     "design and implementation of low power 4:1 multiplexer using adiabatic logic”(IJITEE) ISSN: 2278-3075, Volume-2, Issue-6, May 2013.


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7.

Authors:

Gadi Appala Naidu, Yelithoti Sravana Kumar

Paper Title:

Design & Study of a Low Power High Speed Full Adder using GDI Multiplexer

Abstract: This paper proposes a new method for implementing a low power full adder by means of a set of Gate Diffusion Input (GDI) cell based multiplexers. Full adder is a very common example of combinational circuits and is used widely in Application Specific Integrated Circuits (ASICs). It is always advantageous to have low power action for the sub components used in VLSI chips. The explored technique of realization achieves a low power high speed design for a widely used subcomponent- full adder. Simulated outcome using state-of-art simulation tool shows finer behavioral performance of the projected method over general CMOS based full adder. Power, speed and area comparison between conventional and proposed full adder is also presented.

Keywords:
 Low power full adder, 2-Transistor GDI MUX, ASIC (Application Specific Integrated Circuit), 12-TFA, CMOS (Complementary Metal Oxide Semiconductor


References:

1.     "A 3.8 ns CMOS 16*16b multiplier using complementary pass transistor logic", IEEE J. Solid State Circuits, Vol 25, p388-395, April 1990
2.     “A Novel Multiplexer-Based Low-Power Full Adder” IEEE Transaction on circuits and systems-II: Express Brief, Vol. 51, No. 7,p-345, July- 2004

3.     Makoto Suzuki, et al, "A 1.5 ns 32 b CMOS ALU in double pass transistor logic", ISSCC Dig. Tech. Papers, pp 90-91, February 1993.

4.     "A 4.4 ns CMOS 54X54 b multiplier using pass

5.     transistor multiplexer", Proceedings of the IEEE 1994 Custom Integrated Circuit Conference, May 1-4 1994, p599-602, San Diego, California.

6.     “New Methodologies for Low-Power High- Performance Digital VLSI Design”, PhD. Thesis, University of Waterloo, Ontario, Canada, 2000

7.     "Design and Implementation of Full Adder Cell with the GDI Technique Based on 0.18μm CMOS Technology",(IMES) Vol II, March 17 - 19, 2010, Hong Kong

8.     Gate-Diffusion Input (GDI): A Power-Efficient Method for Digital Combinatorial Circuits", IEEE Transaction on VLSI Systems, Vol. 10

9.     Dan Wang. "Novel low power full adder cells in 180nm CMOS technology", 2009 4th IEEE Conference on Industrial Electronics and Applications, 05/2009


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8.

Authors:

Suad Mohammad Ali Abdullah Abul

Paper Title:

Impact of Weather on Aviation

Abstract:  This paper presents the effects of climate change and weather conditions on the air transport sector.  And also examined turbulent weather conditions and their relationship to aircraft operations as well as the influence of dry and wet seasons on weather parameters of rainfall, thunderstorm and fog at the Port Harcourt International Airport. The aim was to identify which weather parameter affects aircraft operations which entails flight delay, cancellation and diversion.

Keywords:
Introduction Atmosphere-Climate-Weather- Winds- Visibility- Ceiling-Steam Fog-Ice Fog- Thunderstorms-Snow-Icing and conclusion


References:

1.     A D Graaff (2000), Aviation Safety an Introduction, Air & space Europe, 3, 3/4,
2.     Adefolalu D.O. (1984) Bio-climatological Aspects of hamattan Dust Haze in Nigeira. Arch Net Geog. Biol. Services. Vol 33, 304-44

3.     A Klein-Paste, A B Huseby , J D Anderson , P Giesman ,H J Bugge , T B Langedahl (2012), Braking performance of commercial airplanes during operation on winter contaminated runways, Cold Regions Scienceand Technology

4.     Adefolalu, D.O. (2006) Weather events, climate variability and change in relation to NEEDS and MDGs “Problems and prospects of the Nigerian Economy

5.     C Magono (1980), Thunderstorms, Amsterdam, Elsevier Scientific Publication Co

6.     Civil Aviation Authority of New Zealand (2006), Mountain flying,

7.     Federal Aviation Administration (2008),Pilot's Handbook of Aeronautical Knowledge: FAA-H-8083-25A,Flight Standards Service, U.S. Department of Transportation.

8.     G Smith (2011), Natural Disaster Vulnerability: A Real Risk for Airports, Aviation Special Report,

9.     I Waitz, J Townsend, J Cutcher-Gershenfeld, E Greitzer, J Kerrebrock (2004), Aviation and the environment: A National Vision Statement, Framework for Goals and Recommended Actions,

10.  K E Shanhua, Z Xueqing (2007), A Discussion on First Aid and Medical Support Capabilities of Highland Airports [J], Aviation

11.  K L McFadden, B S Hosmane (2001), Operations safety: an assessment of a commercial aviation safety program. Journal of Operations Management,

12.  L JBattan (1961), The Nature of Violent Storms, Science study series, Doubleday & co., Inc.

13.  L Spirkovska, S K Lodha (2002), AWE: aviation weather data visualization environment, Computers & Graphics

14.  P Guégan, R Othman, L Lebreton, F Pasco, P Villedieu, J Meyssonnier, J Wintenberger, (2011), Experimental investigation of the kinematics of postimpact ice fragments, International Journal of Impact Engineering,

15.  P R Mahapatra, D S Zrnic (1991), Sensors and Systems to Enhance Aviation Safety against Weather Hazards,Proceedings of the IEEE,

16.  T J Casadevall (1993), Volcanic Hazards and Aviation Safety: Lessons of the Past Decade, Flight safety foundation, Flight safety digest,


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