 of how cultural venues are managing their data, and what the year might hold for advances in this field.
Although the survey has only been opened for a short time, this data story provides a preview snapshot of the initial survey results so far.
As more responses are received, Dexibit will publish its official analysis report on the state of musedata in 2016 – advance feedback is welcome using the comments below or contact us.
To explore the data, touch or hover over a chart.
This survey opened 12 February 2016 and is still available for comment.
Half of respondents identified as a museum, the remainder were comprised of galleries, public art or festivals; zoos or aquariums; parks or gardens; observatories; science centres or cultural centres. The survey has not yet received responses from libraries or performing arts venues.
A clear majority of respondents were of medium size, with annual visitation numbers of between 10,000 to 100,000.
What is the current state of musedata?
Reports generated from ticketing solutions were the standout most common current method of data collection and report support. This was followed by analytics from digital solutions, then equally membership reporting and visitor surveys. A very small number of venues reported innovative tooling, including dashboards, WiFi and visualization tools.
Measuring a total duration of elapsed time as the speed of data, the majority of respondents wait from 1 month up to 1 year for data to reach decision makers. Only 2 venues had access to real time data.
Measuring the total effort as the efficiency of data, the majority of respondents spent from 1 month up to 1 year in administering and reporting data annually. Only 2 venues reported less than 1 week of work on these activities.
The total average for self assessment of data aspects was 2.38 out of 5. Efficiency scored the lowest at 1.95 and integrity the highest at 2.89.
The three top challenges cited in data driven insight were creating awareness, getting industry standards and finding a suitable solution.
On average, respondents felt they were very likely to take actions towards data driven insight in 2016, rating this probability 4 out of 5.
Tonight my coworker asked me to give blood to a patient with him (blood requires a double sign in my health system).

"Sure," I said, got up, and something bugged me..."Does he have consent in the chart?"

The nurse said "Yeah!" and pulled out the chart to show me. 

 The resident was embarrassed that he never checked for consent either before ordering blood products.It’s been nearly a month since we moved into our new house in Sandy and things are starting to feel like home. Most of our boxes are unpacked and furniture is slowly starting to appear in each room. We have been honored to have both sets of parents visit our home and bless it, with their presence, words, and a few repairs.
So we’re ready to receive guests!
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One thought on “New Home in Sandy, Utah”
Wow, pretty. Can’t wait to see the inside. Is it a split level entry? Definetly looks like a good find!With installing new axles with lockers on my '13 JKU I will end up with front and rear ARB lockers and they will come with the basic compressor.
I had been looking at upgrading the compressor to the ARB twin package deal (compressor, mount, hoses, inflation gauge, etc.). With looking at the price of the ARB twin package I have begun to really contemplate a couple of options if I look at spending that amount.
Option A: Buy the ARB twin package.
Option B: Buy a new 8 switch sPod as mine is only 6 and I currently use 4. With adding the compressor with front/rear lockers I would end up with 7 switches. With this option, I could transfer my current 6 switch model over to my Dad's JK. I could also look at just using the ARB unit that is coming with the axles and look at CO2 for tires. The CO2 would have the advantage of being portable.
Thoughts/opinion on this? Which option and why?
Also, if looking at getting an 8 switch sPod would you go with switched panel or the touch screen? Which one and why?Shang et al. (Commun. Nonlinear Sci. 94, 105556, 2022) proposed an efficient and robust synchronization estimation between two not necessarily stationary time series, namely the refined cross-sample entropy (RCSE). This method considered the empirical cumulative distribution function of distances using histogram estimator. In contrast to classical cross-sample entropy, RCSE only depends on a fixed embedding dimension parameter. In this paper, the RCSE is revisited as Freedman-Diaconis rule was considered to estimate the number of bins for the cumulative distribution function. Results are illustrated with some simulations based on 2D Hénon maps, the sinusoidal model, and the Lorenz attractor. In addition, a practical study of foreign exchange rate time series is presented. Specifically, the Canadian/US and Singaporean/US dollar time series were considered to compute the synchrony level between the 1995-1998 (before the 1999 Asian financial crisis) and the 1999-2003 (post-crisis) periods.
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