Nested if
statements is a key ingredient for making what's known as "Spaghetti code".
Such code is hard to read, refactor and therefore maintain.
The following code snippet illustrates this rule with the default threshold of 3.
if condition1 { # Compliant - depth = 1 # ... if condition2 { # Compliant - depth = 2 # ... if condition3 { # Compliant - depth = 3, not exceeding the limit # ... if condition4 { # Non-Compliant - depth = 4 if condition5 { # Depth = 5, exceeding the limit, but issues are only reported on depth = 4 # ... } } } } }


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Judo is a remarkable and vibrant combat sport that demands both physical ability and great mental discipline. Judo starts from a standing position and involves specific techniques that allow an individual to lift and throw their challengers on the floor. Judo also involves techniques that allow you to put your challengers by submission, by pinning, choke holding and joint locking them until they give up.
Judo started many years ago in Japan as a mixture of martial arts which were formed together and it was then developed further and used by samurai and feudal warrior class over hundreds of years ago. Judo was first designed to kill your challengers in a battle however later the techniques got developed so that individuals are able to practice without hurting their challengers.
Judo has simplified in the modern day as now it just requires two people to take part and use their body force of balance, power and movement to try to overcome the other individual. Judo has two sides to it, it can be very basic yet it can also become more advanced the further into the sport you go. You need to master the basic judo techniques and methods in order to advance further, including putting both your time, effort and energy into the sport.
Fighting Fit Martial Arts - Judo Club
Coach Profile
David Groom-Judo Black Belt
From a young age David has taken part in judo, and has now been in the sport for over 17 years. David’s greatest achievement has been representing Team GB for 13 years and this has led to him competing around the globe in various competitions. The black belt judo trainer has represented Great Britain at four European Championships, and a World Championships; winning a Bronze medal at the 2004 European Cadet Championships. Currently David fights in the 90 kg category for Great Britain Men’s Squad and holds a BJA 3RD DAN black belt.
Some of David’s recent achievements include:
Dec 2013 – GOLD British Closed Championships -90kg
Oct 2013 – GOLD Welsh Open
Sept 2013 – 7th Serbia European Cup -90kg
Sept 2013 – GOLD Chilean Open -90kg
Aug 2013 – Gold Eastern Area Open -90kg
Aug 2013 – Gold Lancashire Closed -90kg and Open
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To get more information about Judo visit the following websites
Club Website: http://www.fightingfitmartialarts.co.uk/
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David Grooms Blog:http://judowayoflife.com/


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#set( $symbol_pound = '#' ) #set( $symbol_dollar = '$' ) #set( $symbol_escape = '\' )
A very famous modern and lightweight architecture based on spring suites, which helps you and your team to build web applications or web services quickly and easily.
From this project, you can learn the knowledges of Spring Framework , Spring Boot , Spring Security , Spring Data JPA , Spring HATEOAS
This project introduce the concepts of TDD, RESTful Web API, OIDC, OAuth2
username: user, password: user, roles: USER
username: admin, password: admin, roles: USER, ADMIN
Anonymous can access home page, login page.
User can access all page but can't access system maintain APIs
Admin can acces all pages
Anonymous can not access any APIs
User can only retrieve(GET) service source from custom APIs
Admin can GET POST PUT DELETE service source from/to custom APIs


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- Label the images by clicking on the points and then assigning them to a class.
- Have fun! The more images you label, the further you progress through the ranks.


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“The love of complexity without reductionism makes art; the love of complexity with reductionism makes science.” — E.O. Wilson
In the 1950s William S. Burroughs popularized an art form called the “cut-up technique.” The idea was to take existing stories (in text, audio, or video) and cut them up into pieces, and then recombine them into something new. His creations are a juxaposition of (often disturbing) imagery, chosen to fit together despite coming from different sources. Here’s a sample from The Soft Machine:
Police files of the world spurt out in a blast of bone meal, garden tools and barbecue sets whistle through the air, skewer the spectators - crumpled cloth bodies through dead nitrous streets of an old film set - grey luminous flakes falling softly on Ewyork, Onolulu, Aris, Ome, Osteon - From siren towers the twanging notes of fear - Pan God of Panic piping blue notes through empty streets as the berserk time machine twisted a tornado of years and centuries-
The cut-ups aren’t always coherent in the sense of having an understandable plot - sometimes Burroughs was just aiming to convey an emotion. He attributed an almost mystical quality to cut-ups, saying they could help reveal the hidden meanings in text or even serve as prophecy, since “when you cut into the present the future leaks out.” His experimental film The Cut-Ups was predictably polarizing, with some people finding it mesmerizing and others demanding their money back.
If you jump through the video a bit you’ll see that it isn’t quite as repetitive as it seems during the first minute. (I also think Burroughs would heartily approve of jumping through the movie rather than watching it from beginning to end.)
This idea of combining parts to create something new is alive and well on the internet, especially now that we are starting to amass a huge library of video and audio clips. It’s painstaking work, but there is a whole genre of videos in which clips from public figures are put together to recreate or parody existing songs, or to create totally original compositions.
Since the whole can have a meaning that is more than the sum of its parts, our brains must be somehow putting these parts together. This process is referred to as “configural processing,” since understanding what we’re hearing or seeing requires looking not just at the parts but at their configuration. Work from Uri Hasson’s lab (before I joined as a postdoc) has looked at how meaning gets pieced together throughout a story, and found a network of brain regions that help join sentences together to understand a narrative. They used stimuli very similar to the cut-ups, in which sentences were cut out and then put back together in a random order, and showed that these brain regions stopped responding consistently when the overall meaning was taken away (even though the parts were the same).
Today I (along with my PhD advisors, Fei-Fei Li and Diane Beck) have a new paper out in Cerebral Cortex, titled Human-object interactions are more than the sum of their parts (free-access link). This paper looks at how things get combined across space (rather than time) in the visual system. We were looking specifically at images containing either a person, an object, or both, and tried to find brain regions where a meaningful human-object interaction looked different from just a sum of person plus object.
In the full paper we look at a number of different brain regions, but some of the most interesting results come from the superior temporal sulcus (an area right behind the top of your ears). This area couldn’t care less about objects by themselves, and doesn’t even care much about people if they aren’t doing anything. But as soon as we put the person and object together in a meaningful way, it starts paying attention, and we can make a better-than-chance guess about what action the person is performing (in the picture you’re currently looking at) just by reading your brain activity from this region. Our current theory about this region is that it is involved in understanding the actions and intentions of other people, as I described in a previous post.
Next month I’ll be presenting at CEMS 2016 on some new work I’ve been doing with Uri and Ken Norman, where I’m trying to figure out exactly which pieces of a story end up getting combined together and how these combined representations get stored into memory. Working with real stories (like movies and TV shows) is challenging as a scientist, since usually we like our stimuli to be very tightly controlled, but these kinds of creative, meaningful stimuli can give us a window into the most interesting functions of the brain.
Interviewer: In view of all this, what will happen to fiction in the next twenty-five years?
Burroughs: In the first place, I think there's going to be more and more merging of art and science. Scientists are already studying the creative process, and I think the whole line between art and science will break down and that scientists, I hope, will become more creative and writers more scientific. [...] Science will also discover for us how association blocks actually form.

Burroughs: Not at all. I would say it would enhance it.
The Amazing Race is one of the few reality TV shows that managed to survive the bubble of the early 2000s, with good reason. Rather than just trying to play up interpersonal dramas (though there is some of that too), it is set up like a traditional game show with a series of competitions between teams of two, who travel to different cities throughout the world over the course of the show. Eleven teams start out the race, and typically the last team to finish each day’s challenges gets booted from the show until only three teams are left. These three teams then have a final day of competition, with the winner being awarded $1 million.
Winning first place on any day before the last one doesn’t matter much (though you get a small prize and some bragging rights), which is interesting, since it means that it is possible for the winning team to have never come in first place before the final leg. This got me wondering: if we think of the Race as an experiment which is trying to identify the best team, how good is it? What if we just gave teams a point for every first place win, and then saw which one got the most points, like a baseball series?
Modeling the Race
To try to answer this question, I build a simple model of the Race. I assume that each team has some fixed skill level (sampled from a standard normal distribution), and then on each leg their performance is the sum of this instrinc skill and some randomness (sampled from another normal with varying width). So every leg, the ranking of the teams will be their true skill ranking, plus some randomness (and there can be a lot of randomness on the race). Fans of the show will know that this is a very simplified model of the race (the legs aren’t totally independent, the teams can strategically interfere with each other, etc.) but this captures the basic idea. I ran simulated races 10,000 times for each level of randomness.
We can measure how effective the Race was at picking a winner, by seeing what true skill rank the winning team had. So if the team with the highest skill (number 1) wins, that means the race did a good job. If a team with a low skill rank (like 10) wins, then the race did a very bad job of picking the million-dollar winner. This plot shows the rank of the winning team, compared to chance ((1+11)/2=6).
This actually looks surprisingly good! Even at with lots of leg randomness (more than the actual skill difference between the teams) a team with a relatively high rank tends to win. Once the randomness gets to be an order of magnitude bigger than the differences between teams, the winner starts getting close to random.
Improving the Race
But how good is this relative to a simpler kind of competition, where the winner is the team with the most first-place wins? Rather than eliminating teams, all teams race all 9 legs, and the team coming in first the most wins the prize (ties are broken based on which team won most recently). Would this do better or worse?
Turns out this is a little bit better! In general the rank of the winning team tends to be higher, meaning that a “more deserving” team won the money. But the size of the gap depends on how much randomness there is in each leg of the race. Which point along these curves corresponds to the actual TV show?
To answer this, I took the per-leg rankings from the Amazing Race Wikia from the past 10 seasons. Yes, there are people way more obsessed with this show than me, who have been together databases of stats from each season. I measured how consistent the rankings were from each leg of the race. If there wasn’t any randomness, we’d expect these to have a perfect (Kendall) correlation, while if each leg is just craziness for all teams then the correlation should be near zero. I found that this correlation varied a bit across seasons, but had a mean of 0.0992. Comparing this to the same calculation from the model, this corresponds to a noise level of about sigma=2.2.
At this level of randomness, there is about a 10% advantage for counting-first-places competition: 37.4% of the time it picks a better team to win the money, while 28.5% of the time the current elimination setup picks a better team (they pick the same team 34.1% of the time).
Of course there are some disadvantages to counting first place wins: the requires all teams to run all legs (which is logistically difficult and means we get to know each team less) and the winner might be locked-in before the final leg (ruining the suspense of the grand finale they usually have set up for the final tasks). This is likely a general tradeoff in games like this, between being fair (making the right team more likely to win) and being exciting (keeping the winner more uncertain until the end). As a game show, The Amazing Race probably makes the right choice (entertainment over fairness) but for more serious matters (political debate performance?) maybe we should pay attention to the winner of each round rather than the loser.
All the MATLAB code and ranking data is available on my bitbucket.
The Big Data craze is in full swing within many scientific fields, especially neuroscience. Since we can’t hope to understand the tangled web of the brain by looking at only one tiny piece, groups have started to amass huge datasets describing brain function and connections. The idea is that, if we can get enough careful measurements all together, then we can have computers search for patterns that explain as much of the data as possible.
This approach would have made perfect sense to Tycho Brahe, a Danish astronomer born in 1546. Although people have been studying the skies since the dawn of civilization, Brahe was the first to make a detailed catalog of stellar and planetary positions.
Brahe was a towering figure. He ran a huge research program with a castlelike observatory, a NASA-like budget, and the finest instruments and best assistants money could buy. […] Harvard University historian Owen Gingerich often illustrates Brahe’s importance with a mid-17th-century compilation by Albert Curtius of all astronomical data gathered since antiquity: the great bulk of two millennia’s worth of data came from Brahe.
Brahe then announced a model of planetary motion that fit his vast dataset exactly. You could use it to predict precisely where the stars and planets would be in the sky tomorrow. It relied on a fancy prosthaphaeresis algorithm that allowed for the computation of a massive number of multiplications. The only problem was that it was deeply, fundamentally wrong.
It was called the Geoheliocentric Model, since it proposed that the sun orbited the stationary Earth and the other planets orbited the sun. It was attractive on philosophical, scientific, and intuitive grounds (of course the Earth isn’t moving, what could possibly power such a fast motion of such a heavy object?). And it illustrates a critical problem with the data-mining approach to science: just because you have a model that predicts a pattern doesn’t mean that the model corresponds to reality.
What might be needed is not just more data, or more precise data, but new hypotheses that drive the collection of entirely different types of data. It doesn’t mean that Big Data isn’t going to be part of the solution (most neuroimaging datasets have been laughably small so far), but simply performing pattern recognition on larger and larger datasets doesn’t guarantee that we’re getting closer to the truth. The geoheliocentric model was eventually brought down not with bigger datasets, but by a targeted experiment looking at small annual patterns of stellar motion.
Interestingly, there is a clear counterexample to my argument in the work of Dan Yamins, a postdoc with Jim DiCarlo. Dan has shown that a neural network model that learns to label objects in a large set of images ends up looking a lot like the visual processing regions of the brain (in terms of its functional properties). This is surprising, since you could imagine that there might be lots of other ways to understand images.
I wonder if this works because the brain is itself a Big Data mining machine, trained up through childhood to build models of our experiences. Then finding the strongest patterns in big datasets of experiences (images, videos, audio) might come up with the same solution as the brain. Or maybe our neural network models are starting to approximate the broad functional properties of the brain, which makes them a good hypothesis-driven model for finding patterns (rather than just blind data mining). As John Wixted stressed at the CEMS conference last week, hypothesis-free data anlysis has a seductive purity, but the true value of datasets (regardless of their size) comes only through the lens of carefully constructred ideas.
Doing great research is tough. There are so many factors outside of your control: experiments not panning out, unfair reviewers, competing labs, limited funding sources. I’ve tried to distill down some of the strategies that worked well for me and my labmates (these are most relevant to my background in science/engineering, but some might apply to other fields as well):
Get your hands dirty
Some early grad students get stuck in a loop of doing a lot of general talking about the kind of things they want to work on, but never really get started. Taking time to learn and plan your experiments is great, but there are a lot of things you can’t learn without diving into real data. You’re almost certainly going to mess things up the first one or two (or twenty) times, so start making mistakes as soon as possible. Having a deeper understanding of the data you’re dealing with will be invaluable in driving the kinds of questions you’ll ask and the design of your experiments.
Investigate things that don’t make sense
When you’re looking at the results of an analysis, often there will be something that just doesn’t quite line up: there’s one value of 1.01 when the maximum measurement should be 1, two data points are exactly on top of one another, 1% of the data points are giving “NaN”s. It’s easy to just brush these under the rug (“it’s just a couple datapoints”), but getting to the bottom of these is critical. Often they will reveal some flaw in your analysis that might mean all your results are invalid, or (if you’re lucky!) they might point to some new science hiding being an unexpected pattern in the data.
Explore, then replicate
The best way to approach an unfamiliar problem is to first collect (or extract from your full data) a pilot dataset, and start looking for patterns. You don’t need to be rigorous about statistics, multiple comparisons, or model complexity - what are the strongest signals you can find? Are there ways of transforming the data that make it more amenable to your models? Then, once you’ve optimized your analysis, you apply it to new (or held-out) data, and meticulously measure how well it performs. If you do your playing directly on the data, it’s very easy to start fooling yourself about what’s really there and what you just want to be there.
Realize that you’re in the big leagues
Throughout school, you’ve always been measured against your peers - your kindergarten macaroni crafts earned you a gold star because they were impressive for your experience level, not because they were competitive with a typical exhibit at the Louvre. In your first year of grad school, you are now competing with professional scientists who have been in the field for 40 years. This is intimidating (and one of the reasons why you start out being mentored by senior students and faculty members), but also exciting. You are on the front lines of scientific knowledge, answering real problems that no one has ever figured out before.
Know more than your advisor
This might sound contradictory to the previous point, since your advisor has a many-year head start in understanding your field, and you can’t hope to have more total knowledge by the end of your PhD. But for the particular project you’re working on, you should be finding papers on your own and reading everything you can. Publishing a paper that advances the field is going to require knowing more about that topic than anyone in the world, including your advisor.
Keep an end-of-the-day journal
Completing a PhD requires extremely long-term, self-guided planning, and it’s easy to lose track of what you should be working on and what the critical next steps are. Different people have different solutions for this, but my favorite strategy was to take 10 minutes at the end of the day and write (in a physical, dead-tree notebook) a couple bullet points about what I did that day and what the next steps should be.
Drink Water
Taking care of your physical health is often the first thing to go when stress sets in, but this is a sure way to completely derail your research career. Drinking more water is an easy fix for most grad students - you can avoid kidney stones (I learned that the hard way), you’ll eat less junk, and having more bathroom breaks makes sure you take some breaks from your chair (no fitbit required). Some other no-brainers are to make sure you have an ergonomic typing setup (I know multiple PhDs that had to go on leave due to RSI) and keep a reasonable sleep schedule.
Today I had a chance to read a paper by Song, Kennedy, and Wang about their model for explaining how brains are wired up at a high level (explaining how areas are connected, not the detailed wiring of neural circuits). It’s very simple, but manages to capture some complicated aspects of brain structure.
The goal of the model is to offer some explanation for area-to-area connection patterns across species (humans, monkeys, mice). For example, the human connection matrix looks like this (from their supplementary material):
Gray squares show pairs of regions that (we think) are connected to each other. This looks complicated, and it is - every region has a different connection pattern, some are similar to each other (neighboring rows), some are very dissimilar, some regions (rows) have lots of connections and others have few, etc. The Song et al. paper starts by discussing the features of these matrices that seem predictable and similar across species, but the part I found more exciting was their proposed model for how you would grow a brain with these properties.
This figure from their paper shows the setup.  Then, to grow a connection out from a neuron, you pick a direction as a weighted average of the directions to all region centers (with closer regions weighted more heavily), and then grow in that direction a random amount (with short connections more likely than long connections) (D-G). That’s it! Every neuron grows without talking to any other neuron, and they are not even really aiming anywhere in particular.
This simple set of instructions is enough to produce some of the structures in real connectivity matrices, like relationships between how similar the connections are for two regions and how likely they are to be connected to one another. One of the take-aways is that spatial position is a very important feature for wiring brain regions - just adding a bias to connect close regions rather than distant regions is enough to explain a lot of the brain data. This sounds sort of obvious, but spatial position is often ignored in many analysis methods, and I’ve been recently proposing ways of incorporating spatial information for understanding connectivity at both the whole-brain and region level.
There is a lot missing from this paper - it makes a literal “spherical cow” assumption that the brain is a solid ellipse, assumes that neurons are fired in straight lines like a laser, and doesn’t account for how brain size changes during development. But in some ways it makes the result even more impressive, since they can explain a lot of the data without using any of these details.


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Append ULNs
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Add the Unique Learner Number to the names and date of birth of your learners. Put one record on each line
We will attempt to match the ULN to the learners in the cohort.
Add the Unique Learner Number to the names and date of birth of your learners. Put one record on each line


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Introduction
- Description Logics are a family of knowledge representation languages
- They provide the formal underpinnings for OWL (Web Ontology Language)
- They are decidable fragments of First Order Logic (FOL)
- Decidability: Decision (yes/no) problem with a method to arrive at the decision (no matter how long it takes)
- Since DLs are logics, they have formal semantics
- Precise specification of meaning of the constructs
- Logical deduction to infer additional facts based on explicitly stated facts
- The computation of inferences is called reasoning
- Differences between DLs and other modelling languages (UML, ER)
- Reasoning
- Ability to represent complex relationships
Open World Assumption
- Closed World Assumption (CWA) is the assumption that anything not known to be true is false
- Open World Assumption (OWA) is the assumption that anything not known to be true is unknown
- Eg: Italy is part of Europe
- Eg: Is Spain part of Europe?
- CWA: No
- OWA: Unknown
Open World Assumption
- CWA is used when the system has complete information or if a definitive answer is required from the available information
- Eg: Relational tables with information on only Italy
- Eg: Flight booking information
- OWA is useful when the system has incomplete information.
- Eg: Knowledge in an ontology is incomplete
- Eg: Open nature of WWW where data is constantly changing
No Unique Name Assumption
- In Unique Name Assumption (UNA), the assumption is that entities with different names (which act as IDs) represent different entities
- Italy is a country
- Spain is a country
- Under CWA, UNA is followed: Italy and Spain are different
- Description Logics and OWL make the assumption that different names do not necessarily represent different individuals (no UNA)
No Unique Name Assumption
- Under OWA, UNA is not followed: unless explicitly stated, we do not know yet whether two individuals are the same or different
- Different organizations can build ontologies on the same theme and could have individuals with the same name
- Eg: http://www.example1.org/institute/IIIT-D
- Eg: http://www.example2.org/institute/IIIT-D
Basic Building Blocks
- DLs are used to model entities and the relationships between them in a domain of interest
- RDF is also used for the same purpose except that DLs are more expressive
- There are three types of entities
- Individuals: same as constants (FOL), resources (RDF), instances
- Concepts: sets of individuals or unary predicates (FOL)
- Roles: binary relation between the individuals or binary predicates (FOL)
Naming Conventions
- Individuals: lower camelcase is used
- Concepts: camelcase is used
- Eg: Parent, ChildlessPerson
- Roles: lower camelcase is used
DL Syntax
- Person(mary)
- (RDF) :mary rdf:type :Person .
- This is called concept assertion
- hasWife(john,mary)
- (RDF) :john :hasWife :mary .
- This is called role assertion
- Concept assertions and role assertions together are called ABox axioms (Assertional Knowledge)
- Woman $\sqsubseteq$ Person
- (RDF) :Woman rdfs:subClassOf :Person .
- This is called concept inclusion
- Woman is subsumed by Person
- Person $\equiv$ Human
- This is called concept equivalence
- Such type of concept level axioms are called TBox axioms (Terminological Knowledge)
- hasWife $\sqsubseteq$ hasSpouse
- :hasWife rdfs:subPropertyOf :hasSpouse .
- This is called role inclusion
- Role equivalence is also supported
- hasFather $\circ$ hasBrother $\sqsubseteq$ hasUncle
- Axioms that talk about relationship between roles are called RBox axioms
- Woman $\sqsubseteq$ Person
- (FOL) $\forall$x (Woman(x) $\rightarrow$ Person(x))
- hasWife $\sqsubseteq$ hasSpouse
- (FOL) $\forall$x $\forall$y (hasWife(x,y) $\rightarrow$ hasSpouse(x,y))
- Exam $\sqsubseteq$ $\forall$hasExaminer.Professor
- All examiners of an exam must be professors
- This also includes those exams that have noexaminer
- HappyPerson $\equiv$ $\forall$hasChild.HappyPerson
- The above quantification includes the case of a childless person being happy
- Exam $\sqsubseteq$ $\exists$hasExaminer.Professor
- Every exam must have at least one examiner who is a professor
Special Classes and Properties
- $\top$ (Top)
- Super concept for all the concepts in the domain
- Contains everything
- $\bot$
- Sub concept for all the concepts in the domain
- Contains nothing; empty concept
- U
- Top property
- Every pair of concepts are in U
- Empty property
- Empty property; contains nothing
Bolean Concept Constructors
- $\sqcap$ (Intersection or Conjunction)
- Mother $\equiv$ Female $\sqcap$ Parents
- Mothers are exactly female parents
- $\sqcup$ (Union or Disjunction)
- Parent $\equiv$ Mother $\sqcup$ Father
- Parent is either a mother or a father
- $\neg$ (Complement or Negation)
- UnmarriedWoman $\equiv$ Woman $\sqcap$ $\neg$Married
Top and Bottom Concepts
- $\top$ (Top)
- $\top$ $\equiv$ Male $\sqcup$ Female
- Everybody is either male or female
- C $\sqcup$ $\neg$C $\equiv$ $\top$, for any arbitrary concept C
- $\bot$ (Bottom)
- Male $\sqcap$ Female $\equiv$ $\bot$
- Nobody can be both a male and a female at the same time
- Male and Female are disjoint with each other
- C $\sqcap$ $\neg$C $\equiv$ $\bot$, for any arbitrary concept C
Nominals
- Nominal is a concept that has exactly one instance (singleton)
- They are closed concepts where we can enumerate the list of its instances
- Enumeration can be achieved by using the union ($\sqcup$) operator
- MyBirthdayGuests $\equiv$ {bill} $\sqcup$ {john} $\sqcup$ {mary}
- MyBirthdayGuests $\equiv$ {bill,john,mary}
- No UNA, so we have to explicitly state that they are different
- {bill} $\sqcap$ {john} $\sqcap$ {mary} $\equiv$ $\bot$
Cardinality Restrictions
- Allows us to restrict the number of individuals that can be reached via a role
- at-least restriction
- Exam $\sqsubseteq$ $\geq$2 hasExaminer
- at-most restriction
- Exam $\sqsubseteq$ $\leq$2 hasExaminer
- exact restriction
- Exam $\sqsubseteq$ $=$2 hasExaminer
- Exam $\sqsubseteq$ $\geq$2 hasExaminer $\sqcap$ $\leq$2 hasExaminer
- General form: $\geq$nR, $\leq$nR, $=$nR, where n is a non-negative integer
Qualified Cardinality Restrictions
- Qualified cardinality restrictions are a generalization of (unqualified) cardinality restrictions
- They allow us to specify to which concept the second argument of role R is connected to
- $\geq$nR.C, $\leq$nR.C, $=$nR.C
- Exam $\sqsubseteq$ $\geq$2 hasExaminer.Professor
- Unqualified cardinality restrictions can be expressed as follows
- $\geq$nR.$\top$, $\leq$nR.$\top$, $=$nR.$\top$
Inverse Roles
- Direction of the relation is reversed
- Eg: hasSon(a,b) and sonOf(b,a)
- hasSon $\equiv$ sonOf$^{-}$
- Eg: hasParent(a,b) and hasChild(b,a)
- hasParent $\equiv$ hasChild$^{-}$
Role Characteristics
- Transitive
- R(a,b) and R(b,c) $\rightarrow$ R(a,c)
- Eg: hasAncestor
- Symmetric
- R(a,b) $\rightarrow$ R(b,a)
- Eg: hasSpouse
- R $\equiv$ R$^{-}$
- Asymmetric
- R(a,b) $\rightarrow$ not R(b,a)
- Eg: hasChild
- Reflexive
- R(a,a) for all a
- Eg: hasRelative
- Irreflexive
- not R(a,a) for any a
- Eg: parentOf
- Functional
- R(a,b) and R(a,c) $\rightarrow$ b=c
- Eg: hasHusband
- $\top$ $\sqsubseteq$ $\leq$1R
- InverseFunctional
- R(a,b) and R(c,b) $\rightarrow$ a=c
- Eg: hasHusband
- $\top$ $\sqsubseteq$ $\leq$1R$^{-}$
Description Logics
ALC
- Attributive Logic with Complement (ALC)
- Considered to be the most fundamental description logics
- Notations
- Set of individuals represented by a,b,c,...
- Set of atomic classes represented by A,B,...
- Set of role names represented by R,S,...
- TBox statements
- C $\equiv$ D or C $\sqsubseteq$ D
- ABox statements
ALC
- (Complex) class expressions are constructed as
- $C,D ::= A|\top|\bot|$$\neg$$C|C$$\sqcap$$D|C\sqcup$$D|\forall$$R.C|\exists$$R.C$
- Eg: $A$ $\sqcap$ $B$ $\sqsubseteq$ $C$ $\sqcup$ $(D$ $\sqcap$ $\exists$$R.K)$
Naming Description Logics
- Letters describe the language constructs that are allowed in that particular Description Logic
- $S$ is for ALC + role transitivity
- $H$ is for role hierarchies (simple role inclusion axioms)
- $O$ is for nominals
- $I$ is for inverse roles
- $N$ is for cardinality restrictions
- $Q$ is for qualified cardinality restrictions
Naming Description Logics
- Letters describe the language constructs that are allowed in that particular Description Logic
- $D$ is for datatypes
- $F$ is for role functionality
- $R$ is for generalized role inclusion axioms (property chains)
- $E$ is for existential role restrictions
- $SHOIN(D)$
- $SROIQ(D)$
Expressivity and Complexity trade-off
- As the expressivity increases, the reasoning (and querying) complexity also increases
| Description Logic |
Reasoning Complexity |
| $ALC$ |
ExpTime |
| $SHIQ$ |
ExpTime |
| $SHOQ$ |
ExpTime |
| $SHIO$ |
ExpTime |
| $SHOIN$ |
NExpTime |
| $SHOIQ$ |
NExpTime |
| $SROIQ$ |
N2ExpTime |


Subpackages ∞
polyglot |
|
polyglot.commonutils |
common tools used throughout package |
polyglot.markdown |
Generate a markdown rendering from various sources and formats |
Modules ∞
polyglot.cl_utils |
Documentation for polyglot can be found here: http://pypolyglot.readthedocs.org/en/stable |
polyglot.utKit |
Unit testing tools |
Classes ∞
polyglot.ebook |
The worker class for the ebook module |
polyglot.htmlCleaner |
A parser/cleaner to strip a webpage article of all cruft and neatly present it with some nice css |
polyglot.kindle |
Send documents or webpage articles to a kindle device or app |
polyglot.printpdf |
PDF printer |
polyglot.webarchive |
*Generate a macOS webarchive given the URL to a webpage * |
polyglot.markdown.kindle_notebook |
convert the HTML export of kindle notebooks (from kindle apps) to markdown |
polyglot.markdown.translate |
The Multimarkdown translator object |
polyglot.utKit.utKit |
Override dryx utKit |


An empty statement is used to provide no statement, although the JavaScript syntax would expect one.
;
The empty statement is a semicolon (;) indicating that no statement will be executed, even if JavaScript syntax requires one. The opposite behavior, where you want multiple statements, but JavaScript only allows a single one, is possible using a block statement; it combines several statements into a single one.
The empty statement is sometimes used with loop statements. See the following example with an empty loop body:
var arr = [1, 2, 3]; // Assign all array values to 0 for (i = 0; i < arr.length; arr[i++] = 0) /* empty statement */ ; console.log(arr) // [0, 0, 0]
Note: It is a good idea to comment the intentional use of the empty statement, as it is not really obvious to distinguish between a normal semicolon. In the following example the usage is probably not intentional:
if (condition); // Caution, this "if" does nothing! killTheUniverse() // So this gets always executed!!!
Another Example: An if...else
statement without curly braces ({}
). If three
is true
, nothing will happen, four
does not matter, and also the launchRocket()
function in the else
case will not be executed.
if (one) doOne(); else if (two) doTwo(); else if (three) ; // nothing here else if (four) doFour(); else launchRocket();
Created by Mozilla Contributors, license: CC-BY-SA 2.5


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I have a standard UK home single phase power supply. I have been trying to monitor my electricity usage using an Owl 3 phase system but using each phase sensor to monitor different sections of my wiring e.g. heat pump on sensor. This is working OK but it is not granular enough, I would like to monitor several different bits of my heat pump (external unit, booster heater etc) these are each on a separate breaker.
Is there a way of monitoring a lot more devices using multiple sensors? has anyone done this with say 10 sensors?
My aim is to try an monitor all of the higher power circuits in my house.
Thanks
Re: Initial Guidance please - Where do I look and can it be done?
Yes, it can be done but the off-the-shelf solution offered by OEM would involve multiple emonTx's. The alternative, if you are able and prepared to embark on a design and construction project, would be to use a rather higher-powered processor from the Arduino family that has as many analogue inputs as you require ( http://arduino.cc/en/Main/arduinoBoardMega ?), and design and build the surrounding circuitry (adding the RFM12B radio if you need). Our emonTx V3 is based on the Atmel 328P, which has all 6 analogue inputs in use - one for voltage, 4 for current and the last for temperature. Therefore to measure 10 circuits you would need 3 emonTx's (because you can't steal a voltage input, and you can't easily steal the temperature input, and repurpose them).
If you go for your own design, you would need one analogue input for voltage and one for every circuit you want to measure. I think all the information you will need is here in Building Blocks, but the forums will come to your aid if you struggle.
Re: Initial Guidance please - Where do I look and can it be done?
Ok Thanks Robert.
Has anyone here setup a system monitoring several different circuits at once say 10 ?
Re: Initial Guidance please - Where do I look and can it be done?
Just wondering how you got on with this project, monitoring multiple circuits, as I am about to embark on something similar.
Re: Initial Guidance please - Where do I look and can it be done?
Here's a unit that monitors 11 circuits. It's runs on an Arduino Due, and the concept is based on OEM.
http://boredomprojects.net/index.php/projects/home-energy-monitor


Whoops!
An error as occurred.
Error 500 - if the error persists, please let your administrator know.


Technical Blog 3: Problem Solving
Readability and Problem Solving
Intro
In this sprint the two main things we covered were code readability and how to solve programming problems. I found this week quite fun to work through and I am excited to share with you what I learnt!
Code Readability
A lot of people can write code, but much less people write good code. Although the topic is quite subjective there are standards that programmers around the world like to hold to.
One such standard is code indenting. This is the idea that the tags in the code should be on a different line than the content, the content should be indented either using spaces or tab (but must remain consistent throughout your code). Exceptions to this rule is the head and body tag, this is because they are always under the html tag. On top of this, inline elements (such as bold, underline, italic, highlight, etc...) should be written inline and not on its own line.
The code you write should also be short. Short code is easier to understand, to test and means you do not have to repeat certain code segments. Also, in devlopment, it reduces the risk to have to change that code for the future, whether to update or to remove, as you will just add new functions.
Some further principles are code should be focused, one function does one thing, and to add functionality, you simply add more functions. Make your code simple and extendable, keeping in mind the others who might to look at your code and work on it. Code should have minimal dependencies, to help control things that might break your code thats not under your care. Always have acceptance test and meaningful variable names so others can understand your code easier.
Problem Solving
When first looking into the problem solving, we were presented with a list of suggested ways to do so. Now I want to ask you, have you ever heard of the 'Rubber Ducky' method? Well I definitely did not. A bit of further reasearch revealed that it is the act of forcing yourself to go through the code line by line and explain it as if to someone with no programming experience. The idea is as you voice out the logic of your code, you can see the inconsistencies much easier. Oh and the rubber duck is just there so you don't have bother someone else!
The list of suggested ways to solve problems was this:
- Pseudocode
- Just try something!
- Rubber ducky
- Reading the error messages
- Console logging
- Google is your best friend
- Asking peers for help
- Asking the coach for help
- Self relection
Overall, with the bit of background I have in programming, I found myself natrually using all these ways without having to think much about it.
Summary
I really enjoyed the flow of figuring out problems this week. I found the most common way I solve problems was though google and console logging. It helped me to figure out what the function was meant to do (googling), and what my function was doing (console logging). A lot of these cases arose in dealing with javascript objects and their syntax. It did get a little fustrating at times, but it was good to learn to trust the process of learning and being ok with being fustrated. In the end all the problems were solved, maybe not in the most efficent way, but at least nothing had a T(n) = n^2 or greater! (Hit me up if you understood that!)


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Reactive Applications
with
Angular, RxJS
and Socket.IO
@mikegeyser
GDG Johannesburg - June 2017
Request
Response
Streams
Reactive
Questions?
@mikegeyser
<EMAIL_ADDRESS>github.com/mikegeyser
zatech.co.za
meetup.com/Jozi-JS


This smooth scroll sample dose not depend on a specific library.
js-scroll
to the scroll trigger element.
| Parameter | Example | Default | Description |
|---|---|---|---|
| Scroll Target | href="#hoge" | required |
Set selector of scroll target block. href="hoge" |
| Header Selector | data-header="#header-name" | (none) |
If your site has fixed header, set header selector to this. data-header="header-name" |
| Ajust height | data-header_ajust="-50" | (none) |
If set this, ajusted scroll Y position. |
Please add below script into the script file loaded commonly.


Dundee superfan wants Rod Stewart to autograph her arm so she can have it tattooed on her body
A Dundee woman is campaigning to set up a “dream” encounter with Sir Rod Stewart – and have the superstar create her next tattoo.
by Blair DingwallSuperfan Amy Campbell is hoping to meet the singer around his P&J Live gig in Aberdeen this December so she can have him autograph her arm – before getting it permanently inked on to her body.
The mum-of-two is Sir Rod Stewart daft and even named her lurcher dog Rod after the man himself.
And the veterinary nurse said it would be only her second tattoo; with the other being a wedding ring artwork.
Mrs Campbell said: “It has always been a dream to meet him. I just kind of came up with the idea to get an autograph, something I can keep forever.
“Another lady who did the same thing said it took her quite a long time but I have got nothing to lose.
“This is just a random idea. I’ve been tweeting him every day with a line from one of his songs and I’m trying to get everyone to re-tweet.
“I just started a couple of weeks ago and gave it a bash. My pals have been sharing it.”
Mrs Campbell has been obsessed with Sir Rod’s music since the age of 10 and said the December gig in Aberdeen will be the sixth time she’s seen him live.
She added: “It would just be the dream, just five minutes of his time for a picture and an autograph. That would be amazing.
“My family all think I’m mad. The kids get forced to listen to him in the house. They do really like his music and my husband quite likes him as well.”
In 2017 Mrs Campbell started an online petition to persuade the Maggie May singer to play at the newly-opened Slessor Gardens in Dundee. The star is not believed to have played in the City of Discovery since the 1970s.
However the gig never came to fruition with Sir Rod then going on to announce two 2019 gigs in Aberdeen.


Some of the commonly used special characters
< <
Less than
> >
Greater than
' '
Apostrophe
" "
Quote
& &
Ampersand
Some of the commonly used special characters
< <
Less than
> >
Greater than
' '
Apostrophe
" "
Quote
& &
Ampersand


Mistake-free McIlroy in driver’s seat in Shanghai
SHANGHAI, Nov 2 — Rory McIlroy shot a bogey-free 67 today to seize the lead going into the final round of the WGC-HSBC Champions as he continues a quest to retake the world’s top ranking.
Now the world number two, McIlroy said this week he hopes to do well in Shanghai as he tries to chase down current number one Brooks Koepka.
The 30-year-old Northern Irishman did not drop a stroke, and took sole possession of the lead with his last shot of the day, rolling in a birdie on the par-5 18th.
He finished with his third straight five-under par 67 of the week to move to -15 at the Sheshan International Golf Club
Joining him in the leader’s trio tomorrow will be fellow Major winner Louis Oosthuizen of South Africa, who shot the lowest round of the day at 65 after birdying the first five holes to jump up the leaderboard early.
Last year’s winner Xander Schauffele of the United States was two strokes off McIlroy’s pace, in a tie with England’s Matthew Fitzpatrick.
China’s top-ranked golfer Li Haotong, who delighted crowds by surging to the first-round lead with an impressive 64, has come crashing back to earth.
After an even par in the second round, a disastrous triple bogey on the par-four 13th hole today knocked him from the top of the leaderboard.
He finished with a two-over 74, and will start Sunday eight strokes off the leaders.
McIlroy’s consistently strong play in 2019 saw him take home the FedEx Cup and the PGA Tour Player of the Year award, which he said had motivated him to move to number one in the world, possibly early next year.
He is yet to win the Shanghai event’s US$1.7 million (RM7.08 million) victor’s reward.
Oosthuizen, the world number 26 who won the British Open in 2010, broke a near three-year winless drought earlier in 2019 by taking the South African Open.
The tournament features 15 past Major winners including Justin Rose, Bubba Watson, Sergio Garcia and Jordan Spieth.
Koepka and a resurgent Tiger Woods, who won a record 82nd PGA Tour victory on Monday in Japan, are absent. — AFP


Should Google have included a fingerprint sensor on the Pixel 4?
Source: Joe Maring / Android Central
Similar to past Pixels before it, this year's Pixel 4 has been met with a controversial release. While battery woes have been the main point of contention, there's also been a lot of debate regarding the Pixel 4's face unlock system.
Face unlock on the Pixel 4 works quite well, and personally, I've been very happy with it. Taking a look through the AC forums, though, that's not the case for everyone.
In fact, a lot of people really miss having a fingerprint sensor on Google's latest flagship.
N4Newbie 10-31-2019 10:39 AM I admit that Face Unlock works pretty well on my 4XL. But, the fingerprint sensor on the 3XL was still faster and did not force some of the trade-offs associated with Face Unlock. Not to mention that none of my apps (banking, password manager, etc.) support Face Unlock at this time and no idea when or even if they ever will. I don't know why Google chose to eliminate the FPS... Reply
dmxjago 10-31-2019 10:46 AM I prefer face unlock it I had to choose, but I agree I miss the finger print imprint. It was convenient for banking apps etc. And just a good over all alternative to s pin #. Reply
SupraLB 10-31-2019 02:41 PM Its the #1 reason why I haven't upgraded yet. Too many tradeoffs and the fingerprint is just as fast. Even if someone argues its not, it would be only milliseconds behind. And I still wouldn't have to pull it up to my face or have all the false openings when I just want to check the time.  Reply
bhatech 10-31-2019 03:40 PM I have zero issues using face id only since I have been using that on the iPhone from beginning. So using it on Pixel 4 was natural to me. I would have had an issue if my main app LastPass didn't support face unlock. But they do and for all my banking apps or any other app LastPass autofills. So non issue for me. But if LastPass wouldn't have supported then not sure if I could have used this as... Reply
What do you think? Should Google have included a fingerprint sensor on the Pixel 4?


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
Dietary
Baking with children is fun and scrummy with this easy strawberry shortcake. The aniseed flavour of basil is great with strawberries - try it!
First wash your hands and put on an apron. Weigh and measure all the ingredients. Ask a grown-up to preheat the oven to 220C/425F/Gas 7.
Rub the flour and butter together in a bowl until you get a fine crumbly mixture.
Add the caster sugar and mix. Then tip in most of the milk and mix gently with your fork until it starts to stick together. You may not need all the milk.
Sprinkle some flour onto the work surface. Turn the dough out onto the mat and gently make it into a ball, then flatten it with your hands. Make a dip in the middle and place onto the baking tray (it’s harder to move it once the topping is on).
Cut the strawberries in half with the table knife; the bigger ones might need cutting again. Put them to one side.
Using two teaspoons - one to scoop up, one to scrape off - place the jam in the middle of the dough and spread it out using the back of one teaspoon.
Tear two basil leaves into small pieces and sprinkle some on top of the jam. Add the strawberries on top of the jam. Finish with the rest of the fresh basil and sprinkle the top with a little demerara sugar. Ask a grown-up to put the strawberry crown into the oven and bake it for 12-15 minutes.
Let it cool down a bit before eating as the jam can get very hot! Serve with yoghurt or ice cream.


These can be run locally. Some don't even require an internet connection.


{% extends 'members_template.html' %} {% block title %}{{ member }}{% endblock %} {% block members_content %}
This account is new and needs to be verified.
As anyone can create an account on this system new accounts must be approved to allow access.
{{ member.first_name }}'s record has been archived
Personal data has been expunged. If they sign into the site they'll be prompted to re-enter these details and their record will be restored.
{{ member.first_name }} joined the database on {{ member.date_joined|date }} and last logged in on {{ member.user.last_login }}
{% if member.membership_problem %}| Address | {% if not member.address or member.post_code %}
{% else %}{{ member.formatted_address|safe }} {{ member.postcode }}{% endif %} |
|---|---|
| {{ member.email }}{% if not member.email %} {% endif %} | |
| Home Phone | {{ member.home_phone }}{% if not member.home_phone %} {% endif %} |
| Mobile Phone | {{ member.mobile_phone }}{% if not member.mobile_phone %} {% endif %} |
| Date of Birth | {% if member.date_of_birth %}{{ member.date_of_birth }}{% else %} {% endif %} |
| Allergies or other requirements |
{{ member.alergies| linebreaks }}{% if not member.alergies %}None {% endif %} {% if member.veggie %}Vegetarian{% else %}Omnivore{% endif %} |
| Club ID | {{ member.uid }} |
|---|---|
| Student ID | {{ member.student_id }} |
| Membership Type | {{ member.club_membership_type }} |
| Membership Expiry Date | {{ member.club_expiry }}{% if member.club_expired %} {% endif %} |
| Medical Form Expiry Date | {{ member.medical_form_expiry }}{% if member.medical_form_expired %} {% endif %} |
| Name | {{ member.next_of_kin_name }}{% if not member.next_of_kin_name %} {% endif %} |
|---|---|
| Relation | {{ member.next_of_kin_relation }}{% if not member.next_of_kin_relation %} {% endif %} |
| Phone | {{ member.next_of_kin_phone }}{% if not member.next_of_kin_phone %} {% endif %} |
| Current Qualification | {{ member.top_qual }} |
|---|---|
| Training For | {{ member.training_for }} |
| Instructor Qualification | {{ member.top_instructor_qual }} |
| Instructor Number | {{ member.top_instructor_qual.code }} {{ member.instructor_number }} |
| SDCs |
|
| Other Qualifications | {{ member.other_qualifications | linebreaks }} |
| BSAC ID | {% if member.bsac_id %}A{{ member.bsac_id }}{% else %} {% endif %} |
|---|---|
| Membership Type |
{% if member.bsac_direct_debit %} Pays by direct debit {% endif %} {% if member.bsac_direct_member %}Member of BSAC directly {% endif %} {% if member.bsac_member_via_another_club %}Member of BSAC through another club {% endif %} {% if not member.bsac_direct_member and not member.bsac_member_via_another_club %}Standard club member {% endif %} |
| BSAC Expiry Date | {{ member.bsac_expiry }}{% if member.bsac_expired %} {% endif %} |


TABLE OF INTERACTIONS WITH
MINERALOCORTICOIDS
From the French ANSM drug interactions document of September 2016, p. 160
MINERALOCORTICOIDS CLASS CODE: H02AA0 |
ANTICONVULSANT ENZYMATIC INDUCERS CLASS CODE: N03A-001 |
Decrease of the plasma concentrations and of the effectiveness of the corticoids due to increase of their hepatic metabolism by the inducer: the consequences are particularly great in patients with Addison’s disease treated with the hydrocortisone and in the case of transplants. |
Precaution for use Clinical and biological monitoring; adjustment of the dosage of the corticoids during the treatment with the inducer and after it is stopped. |
MINERALOCORTICOIDS CLASS CODE: H02AA0 |
RIFAMPICIN RxNorm: 9384 ATC: J04AB02 |
Decrease of the plasma concentrations and of the effectiveness of the corticoids due to increase of their hepatic metabolism by the rifampicin; the consequences are particularly great in persons with Addison's disease treated with the hydrocortisone and in the case of transplants |
Precaution for use Clinical and biological monitoring; adjustment of the dosage of the corticoids during the treatment with the rifampicin and after it is stopped. |


abstract |
|---|
| Methods | ||
|---|---|---|
public
|
__construct(Application $app)
|
# |
public
|
deferred(): bool
|
# |
abstract
public
|
register(): void
|
# |
| Properties | |||
|---|---|---|---|
protected
|
Application
|
$app
|
# |


RUN LOLA RUN A film review by Steve Rhodes Copyright 1999 Steve Rhodes RATING (0 TO ****): *** 1/2
In an age of sardonic titles, writer and director Tom Tykwer's RUN LOLA RUN (LOLA RENNT) refreshingly means precisely what it says. Lola, played with unbounded energy in an utterly captivating performance by Franka Potente, does exactly that, run almost the entire movie. And we're not talking about merely some yuppie jogging -- Lola looks like she's in training for Olympic sprints. Well, she would if it were not for her black combat boots, her sea green, checked pants, her powder blue tank top and her piece de resistance, hair dyed bright reddish-orange.
With heavy music that pulsates to the same fast-paced beat as the storyline, the movie literally flies by you. One blink in this SLIDING DOORS on steroids, and you've missed two scenes and three key events. In fact, the story's funniest parts happen in little subplots that zip by so fast that they are almost impossible to follow. Suffice it to say that this is a enormously fun film that will not put you to sleep -- in fact it has the effect of several large cups of heavily caffeinated coffee.
"The ball is round," a man declares in the film's opening. "The game lasts 90 minutes. Everything else is theory." He then kicks a soccer ball into the heavens, and movie is off and running like a sprinter after the blast from a starter's pistol. With MTV-style jump cuts, split screens and light-speed zooms, Mathilde Bonnefoy's editing and Frank Griebe's cinematography are two of the stars of this hyperactive motion picture, with heavy emphasis on the word "motion." There is even an animated version of the ever-running Lola that makes a few appearances.
As we meet Lola, she is answering the phone. It seems that she just missed a very important rendezvous, in which she was supposed to pick up her boyfriend, Manni (Moritz Bleibtreu), a bagman for some very bad dudes. He panicked when she didn't show up and left his bag of 100,000 deutsche marks on the subway, where a homeless man took it. If Manni doesn't come up with 100,000 marks from somewhere by the time the bad guys return in exactly twenty minutes, his life will be in jeopardy.
Lola tells Manni not to worry; she will come up with the money by the deadline. He warns her that, if she doesn't, he will rob the supermarket across the street. Lola then literally bolts out of her apartment and down the stairs before she ever has much of a plan in mind. One thing is certain, she doesn't have time for slow means of transportation, such taxis or bikes, instead she runs like the wind, which gives the whole movie a wonderfully free and energetic spirit. (One can just imagine the casting of the part. After sprinting non-stop for blocks, please halt and read these lines.)
Along the way, we meet a host of minor characters with my favorite being her father, a banker. You've heard of families who complain that all the father ever does is work. Well, her father has a rather unusual solution, which is one of many delicious little stories in this black comedy. The story is structured into three wholly contained alternative versions of what could have happened after Lola heard Manni's plea.
 As Lola, Franka Potente is as likeable and charming as they come. Even so, one still wonders what she looks like in her natural hair color. One thing is certain; her look in this movie is a perfect match for her character.
RUN LOLA RUN runs a blisteringly fast 1:21. The film is in German with English subtitles. It is rated R for some violence and profanity and would be fine for teenagers.
Email<EMAIL_ADDRESS>Web: www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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| Felix Jaehn & Jasmine Thompson Ain't Nobody Eletrónica |
|
| Valete Canal 115 Rap |
|
| Sia Chandelier Pop |
|
| System Of A Down Chop Suey Metal |
|
| Michael Bublé Cry Me A River Jazz |
|
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--- layout: default title: "Ed." ---
This site features transcriptions of letters, telegrams and other documents sent to Dr. William Wilberforce Baldwin, an American expatriate doctor living in Florence and Rome at the end of the 19th century and the beginning of the 20th century. Baldwin's interlocutors were a veritable who's who of Anglo-American and European arts, letters and high society, making this body of correspondence, some 3,000 letters, a treasure for cultural historians. The collection, held at the Pierpont Morgan Library and Museum in New York City, has never been digitized or published and remains largely unstudied by scholars.


Gio Corsi leaves PlayStation after six years
by AshGio Corsi, Head of Global Second Party Games at PlayStation and avid supporter of the PlayStation Vita, has announced his departure from the company.
Corsi had been at the company for six years. During this time, he originally occupied the role of Senior Director from 2013 until April 2018, when he was appointed Head of Global Second Party Games.
 I’m taking some time off but I will be back in games soon enough.” Corsi said in a thread on Twitter.
“I’m extremely proud of all the amazing things we accomplished. Big love to everyone past & present who made my time there truly special.”
Corsi also extended his thanks to many different people, finishing his Tweet thread with “Finally, a hearty thank-you to all the great devs, pubs, partners, friends & fans who made my time at PlayStation so memorable.. so many cool moments. From all the titles, to all the shows, as I said, it was a hell of a ride! Thanks for it all & long love the Vita!”
We here at MSPoweruser wish Gio Corsi all the luck in his future endeavours. Long live the Vita indeed.


Control your own infrastructure
Create a zero-maintenance production environment in ten minutes.
- Runs in your own AWS account
- Use industry best practices without the work. Easily scale up without breaking the bank.
- Instant deploys
- Confidently deploy new code in seconds.
- Graceful rollouts
- Easily deploy changes without dropping a single request.
- Flexible runtime
- Run any language or framework. Open TCP listeners on arbitrary ports.
- Powerful introspection
- Centralized access to your metrics and logs.
- Secure by default
- Run applications in a private network with secrets encrypted at rest.
$ convox apps
APP STATUS myapp running
$ convox apps info
Name myapp Status running Release REXIQURVKXE Processes admin web Hostname myapp-1749418666.us-east-1.elb.amazonaws.com Ports web:80 web:443 admin:9322
$ convox ps
ID NAME RELEASE CPU MEM STARTED COMMAND 13254981d20 admin REXIQURVKXE 0.47% 2.21% 17 hours ago bin/admin 92d4a822c13 web REXIQURVKXE 3.29% 20.68% 17 hours ago bin/web
$ convox env
PASSWORD=xyzzy
$ convox logs
web: [01/Jan/2015:00:00:00] "GET / HTTP/1.1" 200 554 0.0027 web: [01/Jan/2015:00:00:00] "POST /users HTTP/1.1" 303 - 0.0049


Dear Sir/Madam,
I apologies to take your value time to introduce this business proposal to you which I imagine will be of utmost benefit to us. I am the first and only son of the late environmental activist, a writer /publisher and a business man Chief Ken Saro Wiwa of the Ogoni land an oil producing community in the Niger Delta area of Nigeria, President and founder of Movement for the Survival of the Ogoni People (MOSOP), a non-violent action group.
My father died by hanging during the military regime of president General Sani Abacha (deceased) as my father was fighting for the right of his of people Ogoni land to have resource control over their resources but the government was so brutal until the gang up to kill my father .
Actually my father knew he was going to die due to the ugly situation since the government was against him. Prior to his untimely death, he wrote his Will that stated clearly that all his stocks /bonds, property and fund belongs to me. My father personal legal advisor Mr. Briggs conspired with the government to confiscate some of my father's fixed assets and frozen some of his account they were able to trace.
Right now, am seeking assistance from you to inherit the stocks and bonds, property and fund on my behalf and use it to set up a good investment for me in nearest future which I believe the dividend will be great. My father deposited the some of US$34.Million in a private security company somewhere in Europe which I have all the paper work as proof of ownership in my custody and no one else knows about this accept my mother.
After serving under the immediate past government of former president Olusegun Obasanjo as a minister in his cabinet. I am currently now undergoing a pastoral course in school of divinity. If you are sincerely interested and willing to help me in claiming this fund at the finance house in Europe and also capable handling a business of this magnitude kindly as a matter of urgency write me only through this email address<EMAIL_ADDRESS>and to know more about my father please, kindly visit www.remembersarowiwa.com
Thank you.
Respectfully
Ken Saro-Wiwa Jr.


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2. Tap the ePrint Mobile Printing button on the homepage, or go to http://eprint.ubalt.edu, and sign in with your netID.
3. Choose the file you want to print and the printer you'd like to send it to.
4. Upload and then choose print when you're at the printer you want to pick up at. You can do this anywhere you have an Internet connection.
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1. Use the Locate an Available Book button to see books currently available, and where they are on a map.
2. You can also use the Search our Whole Catalog to look for things at Langsdale and other libraries all over the world.
3. From our Catalog you can request that it be sent to Langsdale for pickup. While you can do these from mobile devices, it might be easier on the full site.
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1. We have a handy PDF guide for what you need to do before you can read eBooks on your device.
2. Then search for eBooks here. (EBSCOhost)
Locate a book on the shelves?
1. Langsdale arranges books using the same system as the Library of Congress. Each book has a CALL NUMBER. These are the letters and numbers you see printed on a label on the spine of each book. Think of them as an address for the book.
2. How call numbers are ordered - Call numbers are kept in groups that are arranged alphabetically, and then by the first few numbers that follow. So H comes before HA, and HA10 goes before HA100. The numbers and letters that come after the decimal points just lets you get a more accurate address.
See if a book/article is on reserve for my class?
1. e-Reserves (articles & book chapters) are in Sakai. Go to your class tab and look for e-Reserves Langsdale in the menu on the left, on a full web browser, in the main list on a mobile device.
2. Or you can look up Print Reserves right here! Tap Home, and then Reserves @Langsdale. You can filter the list by title, class or instructor.
Find scholarly articles?
1. This kind of searching can be easier on the library website from a tablet or desktop computer. Go to http://langsdale.ubalt.edu/databases, to see databases listed by subject or by title. These are huge collections of articles (and other things like audio recordings, e-Books and videos).
2. You can also use our EBSCO Discovery Service for searching on the go, they have a lot of the databases we subscribe to in one place. You can access it here: http://goo.gl/jczyA. (Login Required)
3. If the article you are interested in is not available in full text you can use the Find It! button to help locate a copy of it.
Get started on research for a paper?
1. Two good places to familiarize yourself with a topic are CQ Researcher and Opposing Viewpoints in Context. You may want to look at them from a desktop, laptop or tablet.
2. Once you get to one of these databases, try making a list of words that describe your topic. Try the broadest words first and slowly get more focused. Look at a few articles that sound interesting, and then try your search again using keywords from those.
3. You can also use our EBSCO Discovery Service for searching on the go, they have a lot of the databases we subscribe to in one place. You can access it here: http://goo.gl/jczyA. (Login Required)
Get help citing sources for my paper?
1. Find guides on how to cite using MLA and APA here: http://goo.gl/WfvEk
2. Use a citation tool like EasyBib, located in the student quick links box on the main Langsdale site. You may want to sit down at a desktop, or laptop, for this.
3. Need it quick? Go to Worldcat.org, type in the title, hit the CITE button, choose APA or MLA and copy the citation.
Find other library resources for mobile?
Here's how to get the mobile version of some of our databases and services:
1. WorldCat Local (books, dvds, and more) - http://worldcat.org/mobile.
2. EBSCOhost (articles, e-books) - http://www.ebscohost.com/academic/mobile-access.
3. Mango Languages (language resources) - http://www.mangolanguages.com/libraries/products-overview/mango-mobile/.
4. EasyBib (citation help) - Apps available for iPhone and Android.
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2. Just that easy.
Still have questions? Ask A Librarian


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Services
Services are self-contained binaries, made up of libraries, tools, and dependencies for the codebase. The services should be described with exactly the same way as docker-compose specification.
Preliminaries
Docker provides a standardized way for building, sharing and executing containerized applications.
Specifically, dockerfiles
are files that include all details for building docker Images
.
Images
package all the service’s code, dependencies, artifacts, etc.
The system stores images
on local or remote repositories.
The most well-known publicly available repository is docker-hub.
Docker containers
are the running instances of the images and, consequently,
the execution environment of Fog Node emulated instances.
Dockerfiles
As we explained before, Docker builds images automatically by scanning the instructions from a Dockerfile. A Dockerfile is a file that includes all instructions that the user calls in order to assemble a docker image. To build a new docker image, users run the build command that executes the instructions, creates and stores the new image. A simple example of a dockerfile is the following:
FROM ubuntu:18.04
COPY . /app
RUN make /app
CMD python /app/app.py
For more example and a detail documentation, we suggest the dockerfile’s official documentation.
Images
The simplest way to create an image is to build a dockerfile.
The docker build
command creates a Docker image from a Dockerfile.
We can use the -t
flag in order to specify a tag for the created image.
Usually, this tag is the name of the image along with its version.
For instance the following command creates an image with the simple-app:0.1
tag,
which illustrates that the image contains the version 0.1
of the simple-app
service.
docker build -t simple-app:0.1 .
One can search the available images on the local host by running the docker image ls
command.
docker image ls
For more example and a detail documentation, we suggest to check the available commands like image pull
, image rm
,
etc, on docker command documentation
while dedicated pages exist for
the docker image’s docker image
and docker build documentations.
Containers
When a user “runs” an image, a running instance of that image is created, namely a docker container.
The docker run
command execute a docker image and creates a docker container
.
For instance the following command creates a docker container from the simple-app:0.1
image.
docker run simple-app:0.1
Similarly with the other concepts of docker, there are many parameters and commands that a user can use. Again, a more detailed view of docker container’s commands is provided on the docker’s command line official documentation
Docker-compose files
Docker-compose
is a toolkit for determining and executing multi-container applications.
A YAML file defines and configures the application’s services.
Docker-compose helps users to create, start, and stop all services.
The docker-compose specification configures many concepts that an application needs, such as environmental parameters,
dependencies between the services, resources from local host, exported container’s ports, and many more.
An overview of the docker-compose can be found on the official page.
To illustrate the functionalities of docker-compose, followingly, we present an example of a typical docker-compose file
(docker-compose.yaml
) that describes an Apache Storm
cluster:
services: # The list of the available services
zookeeper: # The service name that we use as service identifier
image: zookeeper # The image of the service
restart: always
nimbus:
image: storm:2.1.0
command: storm nimbus
depends_on:
- zookeeper # This determines that the service nimbus will wait until the zookeeper starts
restart: always
ports: # On this port the service receives external requests (host-port:container-port)
- 6627:6627
volumes: # We can pass specific files into the service file system (host-path:container-path)
- /home/TestTopology.jar:/example/TestTopology.jar
ui:
image: storm:2.1.0
command: storm ui
depends_on:
- nimbus
- zookeeper
restart: always
ports:
- 8080:8080
supervisor:
image: storm:2.1.0
command: storm supervisor
depends_on:
- nimbus
- zookeeper
restart: always


{% include analytics.html %}
{% include post-header.html %}
{{ page.title }}
Posted on {{ page.date | date: "%B %e, %Y" }} by
{{ page.author }}
{{ content }}
{% include disqus.html%} {% include footer.html%}


Wait!
You have a Notice of Intended Prosecution for a speeding ticket from London Metropolitan Police.
Your reference:
NIP-12345678
You have only 5 days left to respond to avoid a court summons.
{% endblock %}You have only 5 days left to respond to avoid a court summons. View and take action now


cosTransactions
Module
Module Summary
Description
To get access to the record definitions for the structures use:
-include_lib("cosTransactions/include/CosTransactions.hrl").
This module contains the functions for starting and stopping the application. If the application is started using application:start(cosTransactions) the default configuration is used (see listing below). The Factory reference is stored using the CosNaming Service under the id "oe_cosTransactionsFac_IPNo".
The following application configuration parameters exist:
- maxRetries - default is 40 times, i.e., if a transaction participant is unreachable the application will retry to contact it N times. Reaching the maximum is considered to be a disaster.
- comFailWait - default is 5000 milliseconds, i.e., before the application retries to contact unreachable transaction participants the application wait Time milliseconds.
Exports
Types
This operation starts the cosTransactions application.
Types
This operation stops the cosTransactions application.
start_factory() -> TransactionFactory
Types
This operation creates a Transaction Factory. The Factory is used to create a new top-level transaction using default options (see listing below).
start_factory(FacDef) -> TransactionFactory
Types
This operation creates a Transaction Factory. The Factory is used to create a new top-level transaction.
The FacDef list must be a list of {Item, Value} tuples, where the following values are allowed:
- {hash_max, HashValue} - This value denotes the upper bound of the hash value the Coordinator uses. Default is 1013. HashValue must be an integer.
- {allow_subtr, Boolean} - If set to true it is possible to create subtransactions. Default is true.
- {typecheck, Boolean} - If set to to true all transaction operation's arguments will be type-checked. Default is true.
- {tty, Boolean} - Enables or disables error printouts to the tty. If Flag is false, all text that the error logger would have sent to the terminal is discarded. If Flag is true, error messages are sent to the terminal screen.
- {logfile, FileName} - This function makes it possible to store all system information in FileName (string()). It can be used in combination with the tty(false) item in to have a silent system, where all system information are logged to a file. As default no logfile is used.
- {maxRetries, Integer} - default is 40 times, i.e., if a transaction participant is unreachable the application will retry to contact it N times. Reaching the maximum is considered to be a disaster. This option overrides the application configuration parameter.
- {comFailWait, Integer} - default is 5000 milliseconds, i.e., before the application retries to contact unreachable transaction participants the application wait Time milliseconds. This option overrides the application configuration parameter.
stop_factory(TransactionFactory) -> Reply
Types
This operation stop the target transaction factory.


"How do we model multiple classes when they share properties or behaviour?"
For example:
We could repeat the code in each class, but this would violate the DRY principle. (Don't repeat yourself!)
We can move the common functionality to a super class.
Let's look at how to do this.
(We can and should check that our tests still pass - this is one of the benefits of working in a TDD fashion)
If we want a class to do something unique, but also perform its parent's functionality, we can call super() in Ruby.
Let's take a look.
If we add a constructor to a parent class, each of our subclasses will share it.
Let's take a look.
Task! Make a Person class. This class should have:
Make a Medic class, which:
Make an Agent class that talks like an agent.
("The name's Bond, James Bond")
What if we want to add a vehicle that doesn't have an engine? Or a bird that doesn't fly, like a penguin?
We could:
These are all stinky!


--- layout: post status: publish published: true title: ! 'Virtual Iron dead in the water? ' author: display_name: iguy login: iguy email<EMAIL_ADDRESS>url: '' author_login: iguy author_email<EMAIL_ADDRESS>wordpress_id: 163 wordpress_url: http://itsjustanotherlayer.com/?p=163 date: !binary |- MjAwOS0wNy0wOCAwMzoxOTozNiAtMDUwMA== date_gmt: !binary |- MjAwOS0wNy0wOCAwMzoxOTozNiAtMDUwMA== categories: - OpenSolaris - Server Virtualization tags: - oracle - solaris - virtual iron - Virtualization comments: [] ---
Is this true? If so what's Oracle's game plan? They just buy Virtual Iron for a virtualization management. Appear to have a clue since they are buying Sun with a huge virtualization skill set and product line. Then this info comes along?
http://www.theregister.co.uk/2009/06/19/oracle_kills_virtual_iron/
In a letter to Virtual Iron's sales partners, Oracle says it "will suspend development of existing Virtual Iron products and will suspend delivery of orders to new customers." And in a second letter to a partner speaking with The Reg, the company says it will not allow partners to sell new licenses to anyone - including existing customers - after the end of this month.
So is Oracle's plan just to cannibalize Sun & Virtual Iron's code and forsake all the customers they bought?
Makes me pretty sad since I'm a big Sun fan with OpenSolaris and I have the fear that they will do the same thing there.


Here are 10 lesser known facts about Freddie Mercury
At the age of 8, he was sent to St. Peters boarding school in Panchgani, Maharashtra
by DH Web DeskOn the 28th anniversary of Queen legend Freddie Mercury's passing, here are some lesser-known facts about the singer.
1. Freddie Mercury was born as Farrokh Bulsara on September 5, 1946 -- the name he went by until the 70s.
2. His parents were Parsis hailing from Gujarat, Bombay Province (British India). Religiously, they followed Zoroastrianism.
3. At the age of 8, he was sent to St. Peters boarding school in Panchgani, Maharashtra. He formed a school band called The Hectics at age 12, covering artists like Cliff Richards.
4. Before taking the world by storm with his high-octave vocals, Mercury was working at Heathrow Airport as a baggage handler.
5. Aretha Franklin and Jimi Hendrix were Mercury's favourite artists.
6. He was the one who designed the Queen logo that included the zodiac signs of all band members (Leos, Virgo, Cancer).
7. Before he christened his legendary rock band 'Queen', it was known as 'Smile'.
8. He had collaborated with Michael Jackson, but their work could not be completed because of a llama named Louie. Jackson brought his llama to the recording studio all the time, something Mercury was not a fan of.
9. Mercury was suffering from AIDS, and he confirmed the same on the day before his passing.
10. The Bohemian Rhapsody singer was a cat person and reportedly had 10 cats. He even made a song after his calico cat 'Delilah'.


Date of birth
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News story
How the reception baseline assessment will change the way we monitor and fund infant schools.
On 27 March 2014, we published our response to the consultation on reforming the way we hold primary schools to account.
We announced the introduction of the reception baseline assessment from 2016 as a new way of measuring primary schools’ progress.
The baseline assessment will also allow us to monitor the progress of pupils in infant schools. From 2016, we will be able to measure and publish pupils’ attainment from reception year to the end of key stage 1 ( KS1 ) for the first time. However, there will not be a floor standard for infant or first schools.
Infant school pupils taking the reception baseline in 2016 will reach the end of KS1 in 2019, so we will first publish the progress of pupils in infant schools in the 2019 performance tables .
To help increase confidence and consistency in our moderation of infant schools, we will be increasing the proportion of schools where KS1 assessments are moderated externally. From summer 2015, half of all infant schools will have their KS1 assessments externally moderated.
We will continue to support low attaining pupils through the low prior attainment funding. Once the early years foundation stage (EYFS) profile stops being compulsory in 2016, we will use the outcomes from the baseline assessment to allocate low priority funding to primary schools, including infant schools.
Published: 6 June 2014
From: Department for Education
Part of: School and college accountability


Clone from Github:
git clone https://github.com/jxnblk/basscss.git
NPM:
npm install basscss
Bower:
bower install basscss
CDN:
{% highlight 'html' %}{% endhighlight %}
Next: Learn about Basscss’s Base Element Styles and how to use them in your own project.


Ownded Fridges
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Friended Fridges
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Personal Notes