A Literature Analysis on Privacy Preservation Techniques

Author(s):  
Suman Madan
Planta Medica ◽  
2014 ◽  
Vol 80 (16) ◽  
Author(s):  
P Marquardt ◽  
K Kraft ◽  
K Nieber

2018 ◽  
Vol 23 (5-6) ◽  
pp. 347-370 ◽  
Author(s):  
Andy Wai Kan Yeung ◽  
Amr El-Demerdash ◽  
Ioana Berindan-Neagoe ◽  
Atanas G. Atanasov ◽  
Yuh-Shan Ho

2019 ◽  
Vol 7 (10) ◽  
pp. 185-190
Author(s):  
Sapna Bhardwaj ◽  
Sagun Sharma ◽  
Anuradha .
Keyword(s):  

2011 ◽  
Vol 162 (2) ◽  
pp. 27-31
Author(s):  
Daniel Häuptli

Could there be a win-win situation for both pension funds and the Swiss forestry sector? On the one hand, developments in the forestry sector suggest that the Swiss forest presents a new lucrative investment opportunity. If this is so, then pension funds could be particularly interested, as the low correlation between Swiss forest and other classes of investment, and the long investment periods involved are ideal for pension fund portfolios. On the other hand, large investments made by pension funds could mean that existing problems in Swiss forestry, in connection with its fragmented nature, could be more rapidly solved, and the potential for rationalization in the wood value chain could be fully realized. This would in turn make investments in the forest even more profitable. This hypothesis was investigated through a comprehensive literature analysis, yield calculations for private forestry enterprises of over 50 ha made by the Swiss Federal Office for Statistics 2004–2008, and an interview with the investments director of a large Swiss pension fund. Despite the optimistic assumption that the greater efficiency gained by the investment of pension funds into the forestry sector could lead to costs lower by 50% and a 20% increase in profits, the hypothesis must be rejected, because a calculated annual return of only 0.82% is too low for pension funds. The conclusion is that the price for forest land is high, and forest owners are not only interested in the monetary value of holding forest. Other immaterial values influence prices. It is suggested that a greater emphasis on socioscientific studies concerning the link between the price of forest land and the motivation to buy and sell forest could lead to some important findings.


Author(s):  
Shalin Eliabeth S. ◽  
Sarju S.

Big data privacy preservation is one of the most disturbed issues in current industry. Sometimes the data privacy problems never identified when input data is published on cloud environment. Data privacy preservation in hadoop deals in hiding and publishing input dataset to the distributed environment. In this paper investigate the problem of big data anonymization for privacy preservation from the perspectives of scalability and time factor etc. At present, many cloud applications with big data anonymization faces the same kind of problems. For recovering this kind of problems, here introduced a data anonymization algorithm called Two Phase Top-Down Specialization (TPTDS) algorithm that is implemented in hadoop. For the data anonymization-45,222 records of adults information with 15 attribute values was taken as the input big data. With the help of multidimensional anonymization in map reduce framework, here implemented proposed Two-Phase Top-Down Specialization anonymization algorithm in hadoop and it will increases the efficiency on the big data processing system. By conducting experiment in both one dimensional and multidimensional map reduce framework with Two Phase Top-Down Specialization algorithm on hadoop, the better result shown in multidimensional anonymization on input adult dataset. Data sets is generalized in a top-down manner and the better result was shown in multidimensional map reduce framework by the better IGPL values generated by the algorithm. The anonymization was performed with specialization operation on taxonomy tree. The experiment shows that the solutions improves the IGPL values, anonymity parameter and decreases the execution time of big data privacy preservation by compared to the existing algorithm. This experimental result will leads to great application to the distributed environment.


2017 ◽  
Vol 40 (4) ◽  
Author(s):  
Claudia Arab ◽  
Bruna Belusse Demonico ◽  
Clara Knierim Correia ◽  
Guilherme Torres Vilarino ◽  
Alexandro Andrade

O câncer de mama é o tipo de câncer mais comum e incidente mundialmente entre as mulheres. Da suspeita do câncer de mama ao pós-tratamento ocorrem efeitos deletérios à saúde física e psicológica, com influência na qualidade de vida das pacientes. O objetivo desde estudo foi investigar o comportamento de variáveis psicológicas e qualidade de vida de brasileiras no diagnóstico, tratamento e sobrevivência do câncer de mama. Para tanto, foi realizada uma revisão sistemática de literatura pelas bases de dados Medical Literature Analysis, Literatura Latino-Americana e do Caribe em Ciências da Saúde, Índice Bibliográfico Español en Ciencias de la Salud e Scientific Electronic Library Online, pelo termo “câncer de mama” associado a termos emocionais e cognitivos e qualidade de vida. Foram selecionados 36 artigos. Os resultados apontam que, em todas as etapas do câncer de mama, brasileiras apresentam reações emocionais de surpresa, medo, indignação, distúrbios com imagem corporal e ansiedade, que podem estar associadas à relação médico-paciente. Além disso, constatou-se que o enfrentamento da doença ocorre com auxílio da família e da religião. Concluiu-se que as mulheres brasileiras diagnosticadas, em tratamento ou sobreviventes do câncer de mama sofrem diversos impactos emocionais, psicológicos e físicos, que resultam na redução da qualidade de vida dessas pacientes. Palavras-chave: Neoplasias da mama. Adaptação psicológica. Emoções. Qualidade de vida.


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