Cars are optional and aren't even the fastest way to get around (public transport + taxicabs + bicycle/e-bicycle is fastest). Rent can be low as well, depending on where and how big.
Low crime stable environment with strong regulations for food, water, housing, industrial safety, etc, means that necessities tend to be cheap and accessible even to the poorer part of society.
Status goods like cars, luxury cars, fine dining, strata housing, are as expensive as you want it to be. If your status referent group is based on the people around you, it will be as expensive as their income, and many Singaporeans have a lot of income.
According to the paper, there's a decrease in demand by the primary home device for activities trackable by comscore. This is the data used (not technically an assmption). I do not see the paper claiming more than this.
The conclusions do not apply to aggregate demand from all device types. Only certain types of activities are tracked.
My personal opinion is that the inferiority of online time is due to the increase in use of and substitution to additional devices and apps that were not tracked in the dataset - and a higher income better affords such alternative devices, apps, and their data plans.
Yes, exactly - I agree with your opinion and was suspecting the same, that substituting additional devices may explain the results.
But if untracked devices are responsible, or simultaneous online usage by multiple household members is responsible, then doesn't that mean it's possible that online time is not an inferior good? Couldn't it even be opposite of that, that higher income households are actually online more than lower income, because they have more devices, and don't use the primary home device? It seems likely to me that the idea of a primary home device applies more to, and affects more people in lower income households.
It does not. Dataset is from comscore, see the comscore website, and comscore is unable to track the click-stream of native apps. If it did, that would raise many security issues.
Looks like they have mobile SDKs that interested developers could hook into, presumably they would also track aggregated numbers from that: http://www.comscore.com/applicationsdk
Probably only happens for apps with events that require third party verification, though.
The study measured primary home device use based on click-stream data from comscore. This requires interpretation with the following considerations:
- The dataset they used is from a commercial entity with its own vested interests
- Secondary home device and non-home device use is not included; An increase in substitutes to the primary home-device should lead to lower primary home-device use
- Only click-stream data that can be gathered by comscore can be included
- Sampling bias of comscore (paper does not describe correction for this)
Western diet is associated with poorer inhibition of wanting for palatable snack foods when sated
T.N. ATTUQUAYEFIO1, R.J. STEVENSON1, R.A. BOAKES2, M.J. OATEN3, M.R. YEOMANS4, M MAHMUT1, H.M. FRANCIS1
1Macquarie University, Sydney, Australia/2University of Sydney, Sydney, Australia/3Griffith University, Gold Coast, Australia/4University of Sussex, Sussex, United Kingdom
Animal data indicate that hippocampal function is impaired by the increased consumption of a Western-style diet, with potential consequences for energy regulation. Based on such data, it has been argued that consumption of a Western-style diet impairs the ability of the hippocampus to inhibit retrieval of pleasant-food related memories in the presence of food cues, when sated. We tested this in healthy human participants (N = 94, Mage = 20.3, MBMI = 22.3) who varied in their habitual consumption of a Western-style diet .Verbal paired associate (VPA) learning, a known hippocampal-dependent process, liking and wanting ratings of snack foods were assessed first when participants were hungry, then when sated. Stepwise multiple regression analyses evaluated found that Western-style diet was associated with a slower VPA learning rate and a smaller reduction in wanting for snacks from before to after lunch. The latter was also strongly related to VPA learning rate, suggesting that wanting for foods has a memory-related component and would therefore likely involve the hippocampus. Further, it shows that greater consumption of a Western-style diet is associated with poorer inhibition of memories for highly palatable food when sated. This is the one of the first translational pieces of evidence from animal data showing the impact of a Western-style diet on both hippocampal-related memory and inhibition in humans.
Supported By: Macquarie University
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Above is what I found on the conference site. I was also unable to find the paper. I agree that sciencebulletin didn't do a good job reporting on this.
On the other hand, this is not novel in any way, and there is already substantial literature on this topic that suggests the same thing. If the topic is of interest to others, perhaps the older papers, or a list of them, should be posted instead.
There is no paper. This was a 15 minute oral presentation. It may or may not be interesting work, but it's not at the point where the popular press should be reporting on it.
Besides multi-document transactions, I've encountered these problematic use-cases (something I discovered after scope creep of projects):
2. When I needed "more exotic" data types (e.g. but not limited to Decimals) where you want query/analytics logic to happen on the database rather than the app.
3. OLAP types of use cases. I really wanted collation, sort order, query optimizers, ability to "explore" the data in relational ways, and so on.
Couldn't figure out a way to solve them reasonably (and within schedule) using RethinkDB, so I did a "master-slave" with the RethinkDB as the master and PostgreSQL as a slave replica. Then did all the queries and analytics on the PostgreSQL database. I think this is far from ideal in terms of server costs, but scope creep is never ideal.
I suppose using computed property indexes in RethinkDB might work as well, or generating indexes, sort order, and doing query optimisation outside of the DB, but I couldn't figure it out in time, and it also seemed way more complicated than replicating the data to PostgreSQL.
EDIT: Above is for the OLAP use cases. OLAP of some types just don't go well with document databases. For the Decimal type, I stored it as a string, and had a computed property that transformed the string to a float. The float can then be indexed and queried like a number. It was good, until all the other OLAP use-cases creeped in.
Having said that, I found that custom replicas with RethinkDB is easy because it emits data change events. Never expected that feature to be an escape hatch.
The most common and relevant difference is that a graph database has a storage engine that is optimized for graph traversal. For example, in a RDBMS, another row is referenced via a foreign key which involves a lookup to an indexed column, while in a graph database, a node is often referenced by its storage location. This makes graph traversals much cheaper, and is also something that an RDBMS is unable to optimise for because of conflicts with the relational model.
Similarly, the query language is optimised for graph traversal types of queries, in a way that would not be possible in an RDBMS due to the relational model constraints, and also because some of the query operations would be extremely inefficient in an RDBMS storage engine.
> That sounds like graphs but Rethink is not a graph database (compared to Neo4j, GUN, Orient, Arango, etc).
With regards to the listed databases, some are, but the rest are not (and do not claim to be) graph databases.
FWIW, I should mention that I have tried one DB that seems to qualify as a graph database, in that it actually does seem to import and traverse edges efficiently, which is Blazegraph. You tend to have to search past several other things calling themselves graph DBs to find that one.
(But I'm a bit afraid of using it. Any armchair lawyers want to tell me if code that uses a GPL database has to be GPLed itself?)
Here's a partial answer: You gain some, you lose some, but in different things. There's a tradeoff, e.g. automatons can do things a lot faster/cheaper, at the expense of "creativity". The nature of society changes in a multi-dimensional way, so it's hard to say whether it has become more or less "mindless".
It could be depressing as well, since the described effects correspond to the erosion of many important public institutions (like democratic governance).
Seems like this decade is a good time for an update on this issue, now that entertainment technologies are ubiquitous and totally attention grabbing, and cognitive psychology gives it good scientific grounding.
Low crime stable environment with strong regulations for food, water, housing, industrial safety, etc, means that necessities tend to be cheap and accessible even to the poorer part of society.
Status goods like cars, luxury cars, fine dining, strata housing, are as expensive as you want it to be. If your status referent group is based on the people around you, it will be as expensive as their income, and many Singaporeans have a lot of income.