In order to use social media for innovation, organizations need clear strategies and objectives. Broadly speaking, we found that for many companies, the results of using social media for new product development fell short of expectations. Less than 50% of the companies surveyed use social media during the new product development process.
A biometric: Smile! You on camera. Often, in industrial or enterprise settings, you be asked for your biometrics, such as facial recognition, an iris scan or, more likely, a fingerprint. These usually require specialized hardware (and software) and are less common.
“Something is fundamentally broken with the Senate and with democracy in general if, when 90 per cent of the American public thinks that you should just pass a basic criminal background check before buying a gun the Senate can’t pass it,” he told CNN’s Hala Gorani, in for Christiane Amanpour, on Thursday. Schoolchildren and six teachers were murdered in a single rampage in Newtown, Connecticut last December. With nowhere to turn, the victims’ families dedicated the next months of their lives to try to change America’s gun laws..
We propose the application of probabilistic models which, for the first time, utilize all three characteristics to fill gaps in trait databases and predict trait values at larger spatial scales.Innovation: For this purpose we introduce BHPMF, a ierarchical Bayesian extension of probabilistic matrix actorization (PMF). PMF is a machine learning technique which exploits the correlation structure of sparse matrices to impute missing entries. BHPMF additionally utilizes the taxonomic hierarchy for trait prediction and provides uncertainty estimates for each imputation.Main conclusions: Sensitivity analyses validate the robustness and accuracy of BHPMF: our method captures the correlation structure of the trait matrix as well as the phylogenetic trait signal ” also for extremely sparse trait matrices ” and provides a robust measure of confidence in prediction accuracy for each missing entry.
Concrete structures are routinely monitored to detect changes in their characteristics in the field of engineering surveying and other disciplines such as structural and civil engineering. There is growing demand for the development of reliable Non Destructive Testing (NDT) techniques for concrete structures in the assessment of the deteriorating condition of infrastructures or in an event of fire damaged structures. In this paper, the feasibility of using Terrestrial Laser Scanning (TLS) technology for change detection and assessment of fire damaged concrete has been investigated through measurements and analysis of laboratory size concrete specimens that underwent heating up to 1000C.