567 research outputs found
Recommended from our members
Science Communication across STEM Disciplines:Whoâs Keen, Whoâs Not?
This is a program evaluation study of an interest group (IG) that advances public engagement by STEM researchers and provides opportunities to develop science communication skills. The study addresses these questions and observations: 1) Members of biomedical/biosciences disciplines are more common participants in the IGâs science communication activities than members from other STEM disciplines. 2) What are the characteristics of STEM disciplines that are more resistant/less amenable to participating in science communication activities?UT Librarie
Space-Time-Frequency Machine Learning for Improved 4G/5G Energy Detection
In this paper, the future Fifth Generation (5G New Radio) radio communication system has been considered, coexisting and sharing the spectrum with the incumbent Fourth Generation (4G) Long-Term Evolution (LTE) system. The 4G signal presence is detected in order to allow for opportunistic and dynamic spectrum access of 5G users. This detection is based on known sensing methods, such as energy detection, however, it uses machine learning in the domains of space, time and frequency for sensing quality improvement. Simulation results for the considered methods: k-Nearest Neighbors and Random Forest show that these method significantly improves the detection probability
Uberization of telecom networks for cost-efficient communication and computing
This paper discusses the uberization of telecommunication and computing
network services. The Uber-like platform business model is discussed for
application in future networks together with interesting analogies of
communication and computing (2C) resource-sharing models. The economy of this
sharing is discussed, and some recommendations for network uberization are
provided.Comment: 7 pages, 4 figures, 1 tabl
Improving Effectiveness of the Active Constellation Extension Method for PAPR Reduction in Generalized Multicarrier Signals
Analytical Methods for Isolation, Separation and Identification of Selected Furanocoumarins in Plant Material
âSlim, Smart and Happy?â Stigmatization of Obesity Among Preschool Children
Nowadays, the idea âthe slimmer â the betterâ has gained such an enormous power in our culture that it significantly affects even the youngest members of modern society. For this reason, obesity is particularly traumatic for children and young people. It was decided to examine whether these important cultural changes also apply to the youngest members of todayâs Polish society, moreover there is lack of studies of this problem in polish literature. Hence, the authors of this paper have focused on the question whether and how preschool children stigmatise obesity?The study was conducted on a group of 122 children with a three-silhouette technique, based on a method proposed by Tremblay et al. (2011). The results show that being classed as overweight means being perceived as lacking in physical and interpersonal attractiveness, so obesity appears to elicit a very strong negative stigma. The features of the slim body shape equal physical and interpersonal attractiveness (but only in the field of playing together)
Porn on Desktop
AbstractSimultaneously with the technology development, the access to the information has become easier. Internet is the possibility of learning and pleasure but it brings the risk as far as an easy access to pornography is concerned. During our research we came under scrutiny the scope and frequency of using pornography among young adults and we confirmed how influential it is on the attitude and the behavior of the above-mentioned. 230 t. of people gave their responses in the request research via Internet. These answers proved to be useful to estimate the scope of using Internet pornography. It was shown as well, that pornography has the influence on people's attitude to sexual intercourse before marriage and abortion and changes the attitude to pornography as such
Secure Federated Learning for Cognitive Radio Sensing
This paper considers reliable and secure Spectrum Sensing (SS) based on
Federated Learning (FL) in the Cognitive Radio (CR) environment. Motivation,
architectures, and algorithms of FL in SS are discussed. Security and privacy
threats on these algorithms are overviewed, along with possible countermeasures
to such attacks. Some illustrative examples are also provided, with design
recommendations for FL-based SS in future CRs.Comment: 7 pages, 6 figure
GdaĆsk jako oĆrodek produkcyjny w XIV-XVII wieku
Bibliogr. s. 395-404. Streszcz. niem.Agnieszka UziÄbĆ
- âŠ