Howard Rheingold How a Computer Game Is Reinventing the Science of Expertise [Video] | ... - 0 views
Real-time Web Monitor - 0 views
How to break into science writing using your blog and social media (#sci4hels) | The SA... - 0 views
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"It is important to be aware that 20th century media ecosystem is a very unusual aberration in the way people communicated throughout history. Means of production were expensive. Very few people could afford to own printing presses, radio and TV studios, etc. Running all that complicated equipment required technical expertise and professional training. Thus media became locked up in silos, hierarchical, broadcast-only with little-to-none (and then again centrally controlled) means for feedback. There was a wealthy, vocal minority that determined what was news, and how to frame it, and the vast majority was consuming the news in silence"
Home - DSpace - DuraSpace Wiki - 0 views
DSpace 3.1 Demonstration Repository - 0 views
DSpace@MIT: Home - 0 views
Internet Engineering Task Force (IETF) - 0 views
Library Zen Network - 0 views
Slime molds and humans - similar transport network design. - 1 views
Traces of the past: Computer algorithm able to 'read' memories - 0 views
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To explore how such memories are recorded, the researchers showed ten volunteers three short films and asked them to memorise what they saw. The films were very simple, sharing a number of similar features - all included a woman carrying out an everyday task in a typical urban street, and each film was the same length, seven seconds long. For example, one film showed a woman drinking coffee from a paper cup in the street before discarding the cup in a litter bin; another film showed a (different) woman posting a letter. The volunteers were then asked to recall each of the films in turn whilst inside an fMRI scanner, which records brain activity by measuring changes in blood flow within the brain. A computer algorithm then studied the patterns and had to identify which film the volunteer was recalling purely by looking at the pattern of their brain activity. The results are published in the journal Current Biology. "The algorithm was able to predict correctly which of the three films the volunteer was recalling significantly above what would be expected by chance," explains Martin Chadwick, lead author of the study. "This suggests that our memories are recorded in a regular pattern." Although a whole network of brain areas support memory, the researchers focused their study on the medial temporal lobe, an area deep within the brain believed to be most heavily involved in episodic memory. It includes the hippocampus - an area which Professor Maguire and colleagues have studied extensively in the past. They found that the key areas involved in recording the memories were the hippocampus and its immediate neighbours. However, the computer algorithm performed best when analysing activity in the hippocampus itself, suggesting that this is the most important region for recording episodic memories. In particular, three areas of the hippocampus - the rear right and the front left and front right areas - seemed to be involved consistently across all participants. The rear right area had been implicated in the earlier study, further enforcing the idea that this is where spatial information is recorded. However, it is still not clear what role the front two regions play.
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Computer programs have been able to predict which of three short films a person is thinking about, just by looking at their brain activity. The research, conducted by scientists at the Wellcome Trust Centre for Neuroimaging at UCL (University College London), provides further insight into how our memories are recorded.
Robotic teddy bears can boost mood of hospitalised children - 1 views
Genetic test could enable new targeted prostate cancer therapy - 1 views
SocioPatterns.org - 0 views
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"SocioPatterns is an interdisciplinary research collaboration formed in 2008 that adopts a data-driven methodology to study social dynamics and human activity. Since 2008, we have collected longitudinal data on the physical proximity and face-to-face contacts of individuals in numerous real-world environments, covering widely varying contexts across several countries: schools, museums, hospitals, etc. We use the data to study human behaviour and to develop agent-based models for the transmission of infectious diseases."
Effect of salinity stress on seedlings parameters of some canola cultivarsInternational... - 0 views
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By: Kandil AA, AE Sharief, Ola S.A. Shereif Key Words: Canola, Cultivars, Salinity stress, seedlings characters. Int. J. Agr. Agri. Res. 8(2), 10-18, February 2016. Abstract To study the effect of salinity concentrations on seedlings parameters of some canola cultivars, a laboratory experiment was conducted at Agronomy Department Laboratory of Seed Testing, Faculty of Agriculture, Mansoura University, Egypt, during December 2013. The experiment included two factor, the first factor included three cultivars of canola i.e. Serw 4, Serw 6 and Serw 51 and the second factor included ten concentrations of salinity as NaCl i.e. 0.0 (control treatment), 0.2, 0.4, 0.6, 0.8, 1.0, 1.2, 1.4, 1.6, and 1.8 % NaCl). The results showed that Serw 6 cultivar significantly exceeded the other studied cultivars in root and shoot lengths and shoot fresh and dry weights. Whilst, Serw 51 cultivar significantly exceeded the other studied cultivars in root fresh and dry weights, seedling height reduction (SHR), relative dry weight and chlorophyll content in leaves. Salinity stress significantly affected seedlings characters of canola. Due to increasing salinity levels from 0 (control) to 1.8% NaCl, seedlings characters of canola was significantly decreased. It could be concluded that for maximizing canola seedlings parameters, germinated seeds of Serw 6 or Serw 51 cultivars under control treatment (without salinity stress) or under conditions of 0.2% NaCl.
Evaluation of Potential Ecological Risk and Contamination Assessment of Heavy Metals in... - 0 views
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The contamination and potential ecological risk posed by heavy metals from thirteen (13) sediment samples from different sampling sites along the lower portion of Agusan River were analyzed and assessed using different pollution indices. The results obtained shows that the total digest concentrations of different heavy metals under investigation have the following order: Cd < Pb < Zn < Mn, for both first sampling periods. The speciation and distribution pattern have shown that significant amounts of all metals are present in the residual fraction. Similarly, oxide-bound and organic-bound fractions were found to be highly important for Zn and Mn while Cd and Pb were significantly associated in the residual and exchangeable fractions. The results of different pollution indices moreover, showed that among all the heavy metals being studied, Cd posed the highest environmental risk across all sampling stations in both sampling periods and Mn metal was highly enriched and abundant in all of the sampling stations. Importantly, PCA results suggest that Zn, Mn and Pb may have the same origin while Cd might be coming from different sources, and this is corroborated well with the cluster analysis results. The results obtained from this work provide baseline data on the assessment of heavy metal pollution in the lower portion of Agusan River. Importantly, the acquired environmental indices will certainly help safety managers in assessing and interpreting the potential risk of the sediment associated chemical status that might adversely affect aquatic organisms in the selected sampling sites.
the World's Fastest AI Cluster - Atlas 900 - 2 views
On February 25, 2020, the GSMA - an industry organization representing mobile operators - awarded the Global Mobile Awards 2020 (GLOMO Awards) Tech of the Future Award to Huawei Atlas 900 Artificia...
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