scholarly journals Characterizing Web Pornography Consumption from Passive Measurements

Author(s):  
Andrea Morichetta ◽  
Martino Trevisan ◽  
Luca Vassio
2018 ◽  
Author(s):  
Christina Richardson ◽  
Justine Diener O'Leary ◽  
Alyssa A. Bischmann ◽  
Sarah J. Gervais ◽  
M. Meghan Davidson

Author(s):  
Ahsha Vaksalla

Pornography is a debatable subject, both in Malaysia and around the world. Some feel it is harmless while others feel it is damaging. Pornography can bring about its own impact to the viewers. In Malaysia, the trend of viewing pornography among youngsters’ has been increasing. Studies have also shown Pornography can lead to unhealthy behaviors as a result of too much viewing. This study was conducted to discover the addiction level and the consumption effects on students at a Malaysian University. The researchers used purposive sampling to distribute questionnaires. The Scale used was the Internet Pornography Addiction Test and the Pornography Consumption Effects Scale consist of Positive and Negative dimension used to conduct the research. The research population (N=120) was students’ from University Tunku Abdul Rahman of Malaysia. There were significant relationship between the addiction and consumption. There were significant differences between the Positive and Negative Dimension as well. The Negative Effect Dimension is higher than the Positive Effect Dimension. There were significant differences between male and female students towards pornography addiction. However, there were not any significant differences among the genders in internet consumption. Male scored higher than female in the Internet Pornography Addiction. There were no significant differences between gender in the Positive and Negative Dimension.


Author(s):  
Vivek Adarsh ◽  
Michael Nekrasov ◽  
Udit Paul ◽  
Elizabeth M. Belding
Keyword(s):  

2015 ◽  
Vol 8 (8) ◽  
pp. 2611-2626 ◽  
Author(s):  
M. Proksch ◽  
C. Mätzler ◽  
A. Wiesmann ◽  
J. Lemmetyinen ◽  
M. Schwank ◽  
...  

Abstract. The Microwave Emission Model of Layered Snowpacks (MEMLS) was originally developed for microwave emissions of snowpacks in the frequency range 5–100 GHz. It is based on six-flux theory to describe radiative transfer in snow including absorption, multiple volume scattering, radiation trapping due to internal reflection and a combination of coherent and incoherent superposition of reflections between horizontal layer interfaces. Here we introduce MEMLS3&a, an extension of MEMLS, which includes a backscatter model for active microwave remote sensing of snow. The reflectivity is decomposed into diffuse and specular components. Slight undulations of the snow surface are taken into account. The treatment of like- and cross-polarization is accomplished by an empirical splitting parameter q. MEMLS3&a (as well as MEMLS) is set up in a way that snow input parameters can be derived by objective measurement methods which avoid fitting procedures of the scattering efficiency of snow, required by several other models. For the validation of the model we have used a combination of active and passive measurements from the NoSREx (Nordic Snow Radar Experiment) campaign in Sodankylä, Finland. We find a reasonable agreement between the measurements and simulations, subject to uncertainties in hitherto unmeasured input parameters of the backscatter model. The model is written in Matlab and the code is publicly available for download through the following website: http://www.iapmw.unibe.ch/research/projects/snowtools/memls.html.


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