How to Get/Set parameters of Ardupilot-SITL Rover
Author: Masoud Iranmehr
Github Page: github.com/masoudir/mavros_tutorial
Initialize
Please follow steps mentioned in this link
Get/Set MAVROS Parameters
Get/Set MAVROS Parameters using MAVProxy or Ardupilot-SITL
If you want to set a parameter, you can just use this command:
param set PARAMETER VALUE
- Sets the new value for the parameter
And if you want to set a parameter, you can just use this command:
param fetch PARAMETER
- Gets the value of the parameter
Or
param show PARAMETER
- Gets the value of the parameter
For example, if you want to consider "CRUISE_SPEED" as your parameter, you can use these commands to get or set it:
-
param set CRUISE_SPEED 20
- Sets the new value for the parameter -
param fetch CRUISE_SPEED
- Gets the value of the parameter
Or
param show CRUISE_SPEED
- Gets the value of the parameter
Get/Set MAVROS Parameters using ROS rqt:
At first you need to add two plugin from rqt:
Plugins -> Services -> Service Caller
If you want to set a parameter, then in "Service Caller" side, you have to select "/mavros/param/set" and then in the field of "param_id", you can enter your name of parameter and then in the field of "integer" or "real" you can set a new value for that parameter. Then click on "call" button to send this message. The example result for parameter "CRUISE_SPEED" should be as follow:
As you can see the output constitutes a "success" field which is in bool type (False/True) and indicates that this process was successfully done or not. Also the new value of this parameter will be shown on this screen as you see.
It is noted that there is not any differences between "integer" and "real" when your value is in integer format.
If you want to set a parameter, then in "Service Caller" side, you have to select "/mavros/param/get" and then in the field of "param_id", you can enter your name of parameter and then in the field of "integer" or "real" you can set a new value for that parameter. Then click on "call" button to send this message. The example result for parameter "CRUISE_SPEED" should be as follow:
As you can see the output constitutes a "success" field which is in bool type (False/True) and indicates that this process was successfully done or not. Also the new value of this parameter will be shown on this screen as you see.
Change vehicle mode using ROS command lines
If you want to set a parameter value you need to call a ros service in order to do that. Just follow these commands:
rosservice info /mavros/param/set
- To see the details of this service
This command gives you this result:
Node: /mavros
URI: rosrpc://ubuntu:58491
Type: mavros_msgs/ParamSet
Args: param_id value
"mavros_msgs/ParamSet" is the type of this service srv file and "Args" are our input arguments, but we have to know their types, so that we type this command:
rossrv show mavros_msgs/ParamSet
- Getting details of the mentioned srv file
This will result as below:
string param_id
mavros_msgs/ParamValue value
int64 integer
float64 real
---
bool success
mavros_msgs/ParamValue value
int64 integer
float64 real
In this case, "param_id" is the name of parameter needs to being configured and its type is "string". Also "integer" and "real" are the fields describing the value of this parameter.
For setting the parameter with the new value, you can rus this command:
rosservice call /mavros/param/set "{'param_id':'PARAM', 'value':[INTEGER_VALUE, REAL_VALUE]}"
- Changes the value of parameter
For example for the parameter of "CRUISE_SPEED":
rosservice call /mavros/param/set "{'param_id':'CRUISE_SPEED', 'value':[20, 0]}"
- Changes the value of parameter
And if you want to get the value of a parameter:
rosservice call /mavros/param/get "{'param_id':'PARAM'}"
- Change vehicle mode to "GUIDED"
For example for the parameter of "CRUISE_SPEED":
rosservice call /mavros/param/get "{'param_id':'CRUISE_SPEED'}"
- Gets the variable of the parameter
Change vehicle mode using rosun commands
-
rosrun mavros mavparam set PARAM VALUE
- Changes the value of PARAM to VALUE -
rosrun mavros mavparam get PARAM
- Returns the value of PARAM


Examine and Align Entities Across two networks
put app description here
Initialize from a currently loaded set of matching seeds.
Alpha:
Number of Restarts:


ESB begins decarbonising yellow van fleet with 70 full electric vehicles
ESB Networks has begun decarbonising its yellow van fleet, with the purchase of 70 full electric vehicles.
The Nissan ENV200s will be added to the fleet throughout 2019 and 2020.
It is estimated 170 tonnes of carbon will be offset annually by phasing out diesel in ESB Networks’ small van fleet.
The vehicles will be deployed nationally to replace small diesel equivalents working in the areas of metering and stores.
Richard Bruton, Minister for Communications, Climate Action and Environment, welcomed the move.
“The Climate Action Plan commits to a really significant step up in electric vehicle use,” he said.
“Our public sector must lead by example if we are to persuade the rest of society to make the changes required.
“I welcome that the ESB are committed to a 100% carbon emissions-free fleet and are making a start with today’s announcement.
“It is vital to show leadership in this area.
“This will cut greenhouse gases, improve air quality and demonstrate what can be done to other sectors.”
Paul Mulvaney, executive director, customer delivery, at ESB Networks, described it as a “step in the right direction”.
“We have conducted market research as well as extensive trialling to ensure that we are not compromising daily range nor our load capacity,” he said.
“We are delighted to be in the position to begin phasing out our diesel fleet and we will continue to explore the options available to us to increase our commercial EV numbers, as well as reducing our overall carbon footprint across the business.
“We are playing a pivotal role in paving the way for a greener society through an ever-cleaner electricity system, so we want to make sure that we are doing our part across all our operations.”


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WEDNESDAY
CHRISTMAS TIME FROM 2 JANUARY
ENTRANCE ANTIPHON
A people who walked in darkness have seen a great
light; for those dwelling in a land of deep gloom, a light has shone.
COLLECT
Before Epiphany
Grant us, almighty God, that the bringer of your
salvation, who for the world's redemption came forth with newness of heavenly
light, may dawn afresh in our hearts and bring us constant renewal. Who lives
and reigns with you in the unity of the Holy Spirit, one God, for ever and
ever.
COLLECT
After Epiphany
O God, who bestow light on all the nations, grant your
peoples the gladness of lasting peace, and pour into our hearts that brilliant
light by which you purified the minds of our fathers in faith. Through our Lord
Jesus Christ, your Son, who lives and reigns with you in the unity of the Holy
Spirit, one God, for ever and ever.
PRAYER OVER THE OFFERINGS
O God, who give us the gift of true prayer and of
peace, graciously grant that through this offering, we may do fitting homage to
your divine majesty and, by partaking of the sacred mystery, we may be
faithfully united in mind and heart. Through Christ our Lord.
Preface of Christmas
I-III or Epiphany
COMMUNION ANTIPHON
That life which was with the Father became visible,
and has appeared to us.
PRAYER AFTER COMMUNION
May your people, O Lord, whom you guide and sustain in
many ways, experience, both now and in the future, the remedies which you
bestow, that, with the needed solace of things that pass away, they may strive
with ever deepened trust for things eternal. Through Christ our Lord.


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Eat, Shit, Fuck, Die
Mid last year, I was in the process of researching and specifying a massive solution with a team of product managers, and in that process, I came to question and ultimately throw away the notion of “MVP”, or “minimum viable product”, in favour of something a little different.
Why Not MVP?
In start-ups, the MVP as a North Star is a great and functional concept. When the requirements are fairly modest and there’s a ton of leniency and agility for trial and error, building for the minimum works, and labeling your product as an MVP poses no threats.
However, for bigger solutions to bigger problems with bigger stakes and “bigger” stakeholders, I feel the concept doesn't quite capture enough detail to focus conversations during the ideation and research phases. It’s not a bright enough light, and it doesn't guide a scaled flock of shepherds. On the contrary, the simplicity of the “MVP” notion usually distracts more than it helps in this context.
Thus, in trying to better mentally model what exactly to build for a new, massive solution comprised of potentially multiple components (products themselves in some cases), I've come up with something slightly more specific but vastly more applicable.

Eat
Although perhaps controversial for start-ups, for product folk at established companies, the notion that a product won’t make money out of the gate is, at least in my experience, a non-starter. No one is going to green-light internal investment in a product if there isn’t a business and monetization plan around it.
Ergo, the first important question to answer is “how will your product eat”? How will it receive unto it its daily bread, or rather, how will it generate and sustain income?
Even for start-ups, this question should be the very next thing answered after “what problem can I solve for the market?”, regardless of whether or not the answer is largely theoretical.
Shit
The next question to answer is a bit counter-intuitive, because you often take for granted its importance. But how will your product shit?
By shitting, I’m referring to all of the necessary functions of your application that aren't sexy and don’t help it eat, fuck, or die directly: accounting and reporting, dev-ops infrastructure, compliance (e.g., PCI, SOX, etc.) — all that stinky stuff that simply must be done, no matter how gross it is.
One big mistake, particularly in small to mid-size product shops, is ignoring the “shit” work. In a bigger organization, though, even a product heartily eating will be on life support post-launch if this critical work isn't done. Worse yet, a bad shitter who eats in abundance will be in even more trouble.
More often than not, making small design conceits up-front by thinking ahead here dramatically reduces the costs and pain of doing so thereafter.
 I like to call this “fucking”.
How can the product deliver to the end-user something both fundamentally capable and simultaneously desirable? You want that wow moment, and you want it to hit the spot time and time again — and you also want to have the secret, forthcoming “twirl” waiting in the wings to mix it up when the user gets bored of that.
Die
And lastly, the inevitable: how have you prepared for your product’s death?
This step isn't meant as a defeatist “planning for the end-of-life from day one” but rather a chance to prepare for the worst.
If your product turns out to eat poorly, suffer from constipation, or ultimately lacks in mojo, what can you do to recoup costs? What kind of insurance can you invest in? Can you make it an organ donor by building reusable pieces that help you pivot?
In my experience, even in death, a short, productive life is better lived than a long, useless one.
A Life Well Lived
Ultimately, building a product that can ESFD out of the gate seems like a much more sound goal and a better goalpost — and, importantly, one that doesn't create an argument over what “viable” really means.
Every group in a product-centric business, from business development (eating) and marketing (fucking) through to ops (shitting) and R&D (dying), is accounted for and addressed in turn.
And that, to me, sounds like a better product life-cycle to live — and one certainly safer for work, in spite of its crudeness.


China's digital currency not seeking 'full control' of individuals' details: central bank official
SINGAPORE (Reuters) - China’s proposed digitized domestic currency is not a bid to gain full control of information belonging to the general
public, a senior central bank official said on Tuesday, adding that the goal was to balance privacy concerns and the
authorities’ need for information.
China is preparing to be the first country to roll out a digitized domestic currency, a development that is being closely
watched by the world’s financial services industries, though few details are currently available.
Akin to Facebook’s proposed Libra digital currency and other cryptocurrencies such as bitcoin, the officially-named Digital Currency Electronic Payment will be powered partially by blockchain technology and dispersed through digital wallets.
What sets it somewhat apart, however, is that the digital currency’s design seemingly provides Beijing with unprecedented
oversight over money flows, giving Chinese authorities a degree of control over their economy that most central banks do not have.
“We know the demand from the general public is to keep anonymity by using paper money and coins ... we will give those
people who demand it anonymity in their transactions,” Mu Changchun, head of the People’s Bank of China’s digital currency research institute, told a conference in Singapore.
“But at the same time we will keep the balance between the ‘controllable anonymity’ and anti-money laundering, CTF (counter terrorist financing), and also tax issues, online gambling and any electronic criminal activities,” he added.
“That is a balance we have to keep, and that is our goal. We are not seeking full control of the information of the general public.”
It is not clear when the new digital currency will be launched.
Mu told a public forum in August that it was “almost ready”. However, in September, Chinese central bank chief Yi
Gang said there was no timetable for its roll out and that it still needed to meet requirements, and again referenced
anti-money laundering.
Mu said on Tuesday that the goal of the project was to create a new system in case of problems with China’s existing
financial infrastructure, where electronic payments are currently dominated by just two players, and to boost financial
inclusion in rural areas.


Organization : SymPy Solvers: Completing Solveset
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by Shekhar Prasad Rajak — Posted on {{ page.date | date: "%B %e, %Y" }}


| envelope {boot} | R Documentation |
This function calculates overall and pointwise confidence envelopes for a curve based on bootstrap replicates of the curve evaluated at a number of fixed points.
envelope(boot.out = NULL, mat = NULL, level = 0.95, index = 1:ncol(mat))
boot.out |
An object of class |
mat |
A matrix of bootstrap replicates of the values of the curve at a number of
fixed points. This is a required argument if |
level |
The confidence level of the envelopes required. The default is to find 95% confidence envelopes. It can be a scalar or a vector of length 2. If it is scalar then both the pointwise and the overall envelopes are found at that level. If is a vector then the first element gives the level for the pointwise envelope and the second gives the level for the overall envelope. |
index |
The numbers of the columns of |
The pointwise envelope is found by simply looking at the quantiles of the
replicates at each point. The overall error for that envelope is then
calculated using equation (4.17) of Davison and Hinkley (1997). A sequence
of pointwise envelopes is then found until one of them has overall error
approximately equal to the level required. If no such envelope can be
found then the envelope returned will just contain the extreme values of each
column of mat
.
A list with the following components :
point |
A matrix with two rows corresponding to the values of the upper and lower pointwise confidence envelope at the same points as the bootstrap replicates were calculated. |
overall |
A matrix similar to |
k.pt |
The quantiles used for the pointwise envelope. |
err.pt |
A vector with two components, the first gives the pointwise error rate for the pointwise envelope, and the second the overall error rate for that envelope. |
k.ov |
The quantiles used for the overall envelope. |
err.ov |
A vector with two components, the first gives the pointwise error rate for the overall envelope, and the second the overall error rate for that envelope. |
err.nom |
A vector of length 2 giving the nominal error rates for the pointwise and the overall envelopes. |
Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application. Cambridge University Press.
# Testing whether the final series of measurements of the gravity data # may come from a normal distribution. This is done in Examples 4.7 # and 4.8 of Davison and Hinkley (1997). grav1 <- gravity$g[gravity$series == 8] grav.z <- (grav1 - mean(grav1))/sqrt(var(grav1)) grav.gen <- function(dat, mle) rnorm(length(dat)) grav.qqboot <- boot(grav.z, sort, R = 999, sim = "parametric", ran.gen = grav.gen) grav.qq <- qqnorm(grav.z, plot.it = FALSE) grav.qq <- lapply(grav.qq, sort) plot(grav.qq, ylim = c(-3.5, 3.5), ylab = "Studentized Order Statistics", xlab = "Normal Quantiles") grav.env <- envelope(grav.qqboot, level = 0.9) lines(grav.qq$x, grav.env$point[1, ], lty = 4) lines(grav.qq$x, grav.env$point[2, ], lty = 4) lines(grav.qq$x, grav.env$overall[1, ], lty = 1) lines(grav.qq$x, grav.env$overall[2, ], lty = 1)


A&A Fine Furniture
Caption Area
Wood texture by
Matthew Skiles.
This image is wrapped in a link.
Adapted from
Glenn Van Bogaert
Caption Area
Wood texture by
Matthew Skiles.
Caption Area
Wood texture by
Matthew Skiles.
Caption Area
Wood texture by
Matthew Skiles.


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* 1/9 * APEAL-1237-2002.doc IN THE HIGH COURT OF JUDICATURE AT BOMBAY CRIMINAL APPELLATE JURISDICTION CRIMINAL APPEAL NO.1237 OF 2002 Maharashtra Pollution Control Board Chattrapati Shivaji Maharaj Municipal Market Building, 4th Floor, Mata Ramabai Ambedkar Marg, Bombay-400 001 represented by Shri S.S.Doke, Sub-Regional Officer, Bombay III Maharashtra Pollution Control Board, CIDCO Bhavan, 5th Floor (South Wing), Navi Mumbai ......Appellants V/s. 1 M/s. Deepak Fertilisers and Petro Chemicals Corporation Ltd., Plot No.K-1, 2,3,4,5,6,7 & 8 MIDC Industrial Area, Taloja, District: Raigad. 2 Shri R.R.Kotwal, Vice President (Operation) M/s. Deepak Fertilisers and Petro Chemicals Corporation Ltd., Plot No.1,2,3,4,5,6,7 & 8 MIDC Industrial Area, Taloja, District: Raigad 3 Shri N.N.Manak, General Manager (Works), M/s. Deepak Fertilisers and Petro Chemicals Corporation Ltd., Plot No.1,2,3,4,5,6,7 & 8 MIDC Industrial Area, Taloja, District: Raigad .......Respondents Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 2/9 * APEAL-1237-2002.doc Ms. Prabha Badadare i/by Shri Rajendra Desai , Advocates for Appellants. Mr. Manoj J. Bhatt , Advocate for Respondents. CORAM : SANDEEP K. SHINDE, J. RESERVED ON : August 18, 2017. PRONOUNCED ON: September 8, 2017 JUDGMENT :
The Maharashtra Pollution Control Board (' MPCB ' for short) has preferred this Appeal under Section 378(4) of the Code of Criminal Procedure, 1973 against the judgment and order dated 25.10.2001 passed by the learned Additional Sessions Judge, Raigad, Alibag in Criminal Appeal No.6 of 1997 whereby the Respondent No.1-Company was acquitted of the offences punishable under Sections 24 read with Section 43 of the Water (Prevention and Control of Pollution) Act, 1974.
2 Heard the learned counsel for the Appellants and the learned counsel for the Respondent No.1-Company. Perused the records and proceedings and the judgment and order passed at the first instance by the learned JMFC, Panvel in Regular Criminal Case No.122 of 1994 dated 20.12.1996 Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 3/9 * APEAL-1237-2002.doc and the judgment and order dated 25.10.2001 passed in the Criminal Appeal No.6 of 1997 by the learned Additional Sessions Judge, Raigad, Alibag.
3 The MPCB had filed a complaint against the Respondent No.1 and two of its officers under Sections 43, 44, 45(A) read with Sections 24,25, 26 of the Water (Prevention and Control of Pollution) Act, 1974 (Hereinafter referred to as the 'Said Act') on 21.4.1994. It is the complainant's case that the Respondent No.1 is the limited company incorporated under the provisions of the Companies Act, 1956. The other two accused were persons in-charge and responsible to conduct the business of the accused company and in that capacity, they were jointly and severally liable for non- compliance of consent conditions and discharge of polluted water from the factory of Accused No.1 into the environment not conforming to the standards prescribed by the Board in its consent issued to the Accused No.1 and the renewal of consent orders issued from time to time. The member secretary of the Board granted consent to Accused No.1 dated 10.1.1983 which was valid upto 31.1.1985 stipulating therein certain terms and conditions for operating plant by the Accused. One Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 4/9 * APEAL-1237-2002.doc of the conditions relates to disposal whereunder the Respondents were under obligation to discharge treated effluent in MIDC Sewage System; and until such facilities are made available, it shall be disposed of into local nala. It is the Complainant's case that the Respondents had discharged its effluent in violation of the standard prescribed by the consent. On 17.2.1994, sample of the said effluent was collected and analysed whereupon it was found that the Respondent- Company was discharging the effluent causing environmental hazard. The Complainant further alleged that on 17.2.1994, a sample was collected at the extreme end of the drain carrying the effluent of the factory of the accused. Samples were sent to the Government Analyst, Public Health Laboratory for the analysis and also the Board Laboratory at New Bombay. The reports would show that parameters like suspended solids amonical nitrogen and nitrate nitrogen were not meeting the standards prescribed by the Board. In the complaint, it was alleged that factory of the Respondent-Company was discharging highly alkaline water in Kasadi river and thereby causing environmental pollution. On this set of allegations, the complaint was filed by the Board.
Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 5/9 * APEAL-1237-2002.doc 4 The learned JMFC after appreciating the evidence acquitted the officers of the said company, however, convicted the company by the judgment and order dated 20.12.1996 whereby company was convicted under Section 24 read with Section 43 of the said Act and imposed the fine of Rs.5,000/-. Aggrieved by the conviction, the company had preferred an Appeal before the Additional Sessions Judge, Alibag, Raigad who was pleased to acquit the company by the judgment and order dated 25.10.2001. That against the said acquittal, the Board has preferred this Appeal.
5 As it appears from the record that sample was collected on 17.2.1994 by the authorised officer of the Board and was sent for analysis to the State Laboratory and the laboratory of the Water Board. Therefore, the prosecution was in respect of alkaline effluent notice by the board. While taking sample on 17.2.1994, P.W.1-Complainant in his evidence had stated that effluent treatment plant of accused is connected by pipe to the effluent treatment at MIDC , Taloja. It appears from his evidence that compound wall of the accused factory is situated about 6/7 meters towards Kasadi river side from their effluent treatment plant structure. This witness Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 6/9 * APEAL-1237-2002.doc admitted that there were about 25 factories in MIDC, Taloja and effluent from all these factories were collected in MIDC plant and effluent from MIDC plant was discharged in the creek at MIDC, Taloja and the said creek is not part of the Kasadi river.
The Complainant had examined Mr. Fulmali, P.W.2 who had collected sample on 17.2.1994. According to him, alongwith production manager of the accused factory, he took an effluent sample from the extreme end of the drain of the accused effluent treatment plant from a pipe carrying effluent beyond effluent treatment plant. In cross-examination, he, however, admitted that there is distance of more than 17 meters between the effluent treatment plant and compound wall of the company and the distance between the compound wall and Kasadi river is more than 20 meters. It is his version that when he collected sample, he did not go beyond the compound wall. It also appears that he could not answer court's question, as to from which plant, he collected the sample of effluent.
Shivgan
::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 :::
* 7/9 * APEAL-1237-2002.doc
6 The learned Appellate Court upon appreciating the
evidence of the Complainant and P.W.2-Mr. Fulmali has correctly concluded the factum of collection of sample at the extreme end of the drain carrying effluent of the factory of the accused was doubtful. More so, it also appears from the evidence that the effluent treatment plant of the accused is connected by the pipe to the effluent treatment plant of the MIDC, Taloja. In the given set of facts, it cannot be said that the finding recorded by the learned Appellate Court is unreasonable and I do not find any compelling and substantial reasons to interfere with the finding recorded by the learned Appellate Court on the factum of collection of sample which according to it was doubtful. That once it is held that the factum of collection of sample was itself doubtful, all further steps taken in pursuant thereto like that of obtaining report does not carry prosecution case any more further. In view of this fact, I am of the view that finding recorded by the learned Appellate Court does not require any interference. 7 Besides, after perusing the record, it also appears that the trial Court while framing the charge had referred to collection of samples on 21.12.1993 and on 5.1.1994. In other Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 8/9 * APEAL-1237-2002.doc words, factum of collection of samples by Mr. Fulmali on 17.2.1994 has not been referred to in the charge . In view of this admitted fact, the learned Appellate Court has correctly held that the charge itself was defective. More so, it is also brought to the notice of this Court that while authorizing to file complaint against the accused, as per the resolution, company and its officers were to prosecution in respect of violation of provisions of Sections 24 and 25 of the Said Act. In other words, there was no authorisation to prosecute the company under Section 24 of the said Act. However, complaint, was also filed under Section 24 of the said Act. On this count also, finding recorded by the Appellate Court that the complainant had no authority to prosecute the company under Section 24 in absence of authorisation strikes at the root of the prosecution case, also deserves no interference. 8 It is settled position of law that an order of acquittal has to be interfered only when there are compelling and substantial reasons for doing so and if the order is clearly unreasonable. In the case in hand, in my view, the prosecution has not established beyond reasonable doubt that they had collected the samples at extreme end of the drain carrying Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 ::: * 9/9 * APEAL-1237-2002.doc effluent of the factory. In fact, the prosecution witness had admitted that the effluent treatment plant of the accused is connected by pipe to the effluent treatment plant of the MIDC at Taloja. Besides, it is an admitted fact that the Complainant was not authorised to prosecute the company under Section 24 of the said Act. It is in these circumstances even though laboratory reports indicate that the effluent release by the company were not conforming with the standards in terms of the consent but since collection of sample of effluent was itself doubtful, in my view, the Appellate Court has not committed any error in acquitting the respondent no.1-company.
That for the reasons aforesaid, the above Criminal Appeal fails and accordingly stands dismissed (SANDEEP K. SHINDE, J) Shivgan ::: Uploaded on - 12/09/2017 ::: Downloaded on - 13/09/2017 01:32:00 :::


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I made some absinthe at home using a kit I ordered online. I have some experience with distilling and general chemistry from high school and my early college years, so the setup was easy for me, but there are instructions with the kit.
Anyway, it essentially follows the Pharmako/Poeia recipe. I was pleasently surprised with the results! After using the finishing herbs, the absinthe was a nice light green color, and it smelled pretty good. It louched nicely with water. However, it is very bitter. I've never had commercial absinthe, so I don't know if it is more or less bitter than usual. I don't have a way of measuring the alcohol content, but I can tell it is very high. I probably should have diluted it some.
After two glasses (each containing 1 shot absinthe + water & sugar, consumed in about 30 minutes), I was quite drunk. I didn't notice any hallucinations or anything like that. However, I did feel very happy, and very 'lovey' toward everyone. I just wanted to hug everyone and tell them how much I love them. I know it sounds cheesy, but it's true. I would attribute that feeling to the absinthe, as I don't usually feel that way when I drink regular alcohol. Other people to whom I've described the effects noted 'that sounds like ecstasy to me.' I cannot personally comment on this, as I've never taken e. So take that with a grain of salt.
In the future, I will experiment with different cocktails, since the absinthe was so bitter. If it just tasted better, it would be a completely pleasant experience! I would, however, caution people to be careful, especially if you make your own, since it is difficult to accurately measure the alcohol content.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


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| HADOOP-9115 |
Deadlock in configuration when writing configuration to hdfs |
Blocker |
. |
Arpit Gupta |
Jing Zhao |
| HADOOP-8880 |
Missing jersey jars as dependency in the pom causes hive tests to fail |
Major |
. |
Giridharan Kesavan |
Giridharan Kesavan |
| HADOOP-8419 |
GzipCodec NPE upon reset with IBM JDK |
Major |
io |
Luke Lu |
Yu Li |
| HADOOP-8418 |
Fix UGI for IBM JDK running on Windows |
Major |
security |
Luke Lu |
Yu Gao |
| HDFS-5996 |
hadoop 1.1.2. hdfs write bug |
Major |
fuse-dfs |
WangMeng |
|
| HDFS-4423 |
Checkpoint exception causes fatal damage to fsimage. |
Blocker |
namenode |
ChenFolin |
Chris Nauroth |
| HDFS-4208 |
NameNode could be stuck in SafeMode due to never-created blocks |
Critical |
namenode |
Brandon Li |
Brandon Li |
| HDFS-3727 |
When using SPNEGO, NN should not try to log in using KSSL principal |
Major |
namenode |
Aaron T. Myers |
Aaron T. Myers |
| MAPREDUCE-4888 |
NLineInputFormat drops data in 1.1 and beyond |
Blocker |
mrv1 |
Robert Joseph Evans |
Vinod Kumar Vavilapalli |
| MAPREDUCE-4859 |
TestRecoveryManager fails on branch-1 |
Major |
. |
Arun C Murthy |
Arun C Murthy |
| MAPREDUCE-4858 |
TestWebUIAuthorization fails on branch-1 |
Major |
. |
Arun C Murthy |
Arun C Murthy |
| MAPREDUCE-4798 |
TestJobHistoryServer fails some times with 'java.lang.AssertionError: Address already in use' |
Minor |
jobhistoryserver, test |
sam liu |
sam liu |
| MAPREDUCE-4699 |
TestFairScheduler & TestCapacityScheduler fails due to JobHistory exception |
Minor |
. |
Gopal V |
Gopal V |
| MAPREDUCE-4697 |
TestMapredHeartbeat fails assertion on HeartbeatInterval |
Minor |
. |
Gopal V |
Gopal V |
| MAPREDUCE-4696 |
TestMRServerPorts throws NullReferenceException |
Minor |
. |
Gopal V |
Gopal V |
| MAPREDUCE-4478 |
TaskTracker's heartbeat is out of control |
Major |
. |
Liyin Liang |
Liyin Liang |
| MAPREDUCE-4396 |
Make LocalJobRunner work with private distributed cache |
Minor |
client |
Luke Lu |
Yu Gao |
| MAPREDUCE-4272 |
SortedRanges.Range#compareTo is not spec compliant |
Major |
task |
Luke Lu |
Yu Gao |
| MAPREDUCE-2374 |
"Text File Busy" errors launching MR tasks |
Major |
. |
Todd Lipcon |
Andy Isaacson |


A change in the subscription model. Instead of buying 10L every morning, what if a family is guaranteed 20L of water everyday. In this model, Spring Health only refills the water that was consumed the previous day. With this monthly subscription, time is saved by eliminating unnecessary tasks, and a family of five will always have more water than they consume at home any given day.
A low cost evening delivery round by cycle. What if in addition to the water received in the morning, SH provides a street hawker who makes nightly rounds to give extra water to families in need.
While in Odisha, I saw that even though children drink clean water at home, they do not have access to this water in school, and not everyone carries SH water with them when they leave home. To address this, what if SH were to provide clean water at multiple community hot spots, like schools, bus stops or Kirana shops. You can access this water is you have subscribed to and received Special spring health drinking vessels.
People look to their neighbors for inspiration, tips and tricks around everything. In Odisha, I noticed that families paint the walls outside their home with celebrations of marriage and welcome signs. What if I were to recognize these outspoken families and paint a Spring Health pattern or a mural on their wall to signify their loyalty towards clean water, so that they can take pride in their actions and motivate others to do the same.
There are Self Help Groups of women in every village. These women are highly respected within their community and are also part of a larger network that connects these women to others like them from different villages. They are independent, entrepreneurial and community driven. What if we were to use their network and influence so that they became Spring Health saleswomen and advocates of clean water.


How to make multiple channel tabs in zMUD
"Hey, Fiendish, your channel capture is great, but I wish I could have multiple windows with the channels split up in them instead of having all channels go into just one window."
I really wish I could do this part for you. Unfortunately, zMUD doesn't allow me to do create tabs in subwindows from inside a script. The only way that I know of to do this is a manual process. So I'm going to show you how to do it with a series of examples.
In order to follow this page, you'll first need to download and install the base channel capture script from here: Channel Capture Script.
Before you begin, you need some information first. Just keep the following information in mind for later.
First you need to know how to make a tabbed environment...
In order to create a tabbed environment, you need to start with at least two windows.
You also need to have your layout unlocked.
You can check this (or change it) by going to the Layout menu and unselecting "Lock Layout" if it is selected.
Having an unlocked layout allows you to dock windows inside each other.
Now you need to know about the different kinds of window docking in zMUD. There are 9 different modes for docking in windows -- tabbed, frame split left, frame split right, frame split top, frame split bottom, window split left, window split right, window split top, and window split bottom.
For this exercise, I'm only interested in the first one, tabbed, but below are examples of each so you know what you're looking at when you see them.
And here is what the results of each dock mode look like:
Now that you have the required docking information, we can move on to making the tabbed channel windows.
First, think about what tabs you want for channels. Let's assume for now that you're going to leave the CHANNELS window in place as it is (capturing all channels), and that you just want to add new tabs to that frame that each capture one or more different channels.
For the first example I'm going to make a special tab just for my Ftalk channel.
In preparation for this I'm going to actually create the tab. Then I'm going to modify the script to use it.
To make the tab I type "#MAKEW FRIENDS open floating=yes" to create a new window called FRIENDS. Then I type "FRIENDS: #MENU {Settings|Save As}" to save the new window. Then I use the information above to dock it as a new tab in the same frame that has CHANNELS.
Next bring up the main output Settings window. You can do this by clicking in the main output frame and then typing Ctrl+G. In the Settings window you want to find the class folder for ChannelCapture.
Double click on the ChannelCapture class and you'll see the stuff inside it. We're going to be working on the trigger that captures channels, so select it and look at the script contents.
See the line above that captures all channels to the CHANNELS window. We're going to modify that line to also capture just my ftalk channel to the FRIENDS tab that I made.
So add a new line after #CAPTURE CHANNELS
and type #IF (%1 = "ftalk") {#CAPTURE FRIENDS}
This means "If the channel name is ftalk, then capture it to the friends tab too."
Now the CHANNELS tab has all my channels and the FRIENDS tab has just my ftalk.
Next I want to add another tab for the Tech channel, so I do what I did before for FRIENDS and make a new tab called TECH.
This time the script change is slightly more complicated, because I want to introduce some efficiency and a new concept.
Change the line we added last time to instead say #IF (%1 = "ftalk") {#CAPTURE FRIENDS} {#IF (%1 = "tech") {#CAPTURE TECH}}
This means "If the channel name is ftalk, then capture it to the friends tab. Otherwise (the second set of curly braces associated with the first #IF means 'otherwise' or 'else'), if the channel name is tech, capture it to the tech tab."
Now I could have put #IF (%1 = "tech") {#CAPTURE TECH}
on its own line just like I originally did with the ftalk capture, but I did it this way for two reasons.
First, it's more efficient for zMUD to only check if the channel is Tech if it is not Ftalk.
Second, the "else" syntax enables us to do powerful things in fewer lines. For instance, say that for some reason you want your ftalk channel to ONLY go to the FRIENDS tab and not go to the CHANNELS tab.
You can accomplish by moving the #CAPTURE CHANNELS
line inside the "else" clause for ftalk, like this...
#IF (%1 = "ftalk") {#CAPTURE FRIENDS} {#CAPTURE CHANNELS;#IF (%1 = "tech") {#CAPTURE TECH}}
This says "If the channel is ftalk, send to FRIENDS. Otherwise, send to CHANNELS and also send to TECH if the channel is tech."
Or maybe you want both your ftalk and my tech channels to not go to the CHANNELS tab. Then you might do...
#IF (%1 = "ftalk") {#CAPTURE FRIENDS} {#IF (%1 = "tech") {#CAPTURE TECH} {#CAPTURE CHANNELS}}
This says "If the channel is ftalk, send to FRIENDS. Otherwise, if the channel is tech send to TECH. Otherwise, send to CHANNELS."
Once you're done making new tabs, don't forget to lock your layout and then save it again.
If you have more questions feel free to send me tells or personal notes.
- Fiendish


There is a beautiful theory of stochastic optimal control which connects optimal control to key ideas in physics, which I believe is due to H. Kappen starting from this paper. H. Kappen treats the problem in continuous-time, which I find to be less intuitive having spent a lot of time thinking about discrete-time systems. Fortunately, the development in these two papers is quite accessible to a computer science audience (e.g. myself). In this post, I will develop the formalism using the approach of Aggressive driving with model predictive path integral control by G. Williams et al., adapting their arguments to discrete-time. Hopefully, I will spend a few more posts exploring this area. I would like to thank G. Williams for clarifying some questions about the approach taken in his paper. $ \newcommand{\abs}[1]{| #1 |} \newcommand{\bigabs}[1]{\left| #1 \right|} \newcommand{\R}{\mathbb{R}} \newcommand{\E}{\mathbb{E}} \renewcommand{\Pr}{\mathbb{P}} \newcommand{\calE}{\mathcal{E}} \newcommand{\calF}{\mathcal{F}} \newcommand{\calD}{\mathcal{D}} \newcommand{\calN}{\mathcal{N}} \newcommand{\calL}{\mathcal{L}} \newcommand{\calM}{\mathcal{M}} \newcommand{\bbP}{\mathbb{P}} \newcommand{\bbQ}{\mathbb{Q}} \newcommand{\ip}[2]{\langle #1, #2 \rangle} \newcommand{\bigip}[2]{\left\langle #1, #2 \right\rangle} \newcommand{\T}{\mathsf{T}} \newcommand{\Tr}{\mathrm{Tr}} \newcommand{\ind}{\mathbf{1}} \newcommand{\norm}[1]{\lVert #1 \rVert}$
Free Energy and KL Divergence
We first start with a fundamental equality relating free energy as the solution to a particular minimization problem. Let $(X, \calM)$ be a measure space, and let $\bbP$ be a $\sigma$-finite measure on this space. Let $S : X \longrightarrow \R$ be a measurable function satisfying $S \geq 0$. Fix a $\lambda > 0$, and define the free energy $E(S)$ as $$ E(S) := \log \E_{\bbP}[ \exp(-S/\lambda) ] \:. $$
Proposition: We have that $$ -\lambda E(S) = \inf_{\bbQ} \: \E_{\bbQ}[S] + \lambda D_{KL}(\bbQ, \bbP) \:, $$ where the infimum over $\bbQ$ ranges over all $\sigma$-finite measures such that $\bbQ \ll \bbP$.
Proof: Since $\bbQ \ll \bbP$, let $q(x) = \frac{d\bbQ}{d\bbP}$. We can re-parameterize the RHS by $$ \inf_{q(x) : \int q(x) d\bbP = 1} \int S(x) q(x) \; d\bbP + \lambda \int q(x)\log{q(x)} \; d\bbP \:. $$ By the Euler-Lagrange equations, the optimal $q(x)$ must satisfy $$ 0 = S(x) + \lambda + \lambda \log{q(x)} + \beta \Longrightarrow q(x) \propto \exp(-S(x)/\lambda) \:. $$ The appropriate normalization constant is $\E_{\bbP}[ \exp(-S/\lambda) ]$, and hence the optimal measure is given by $$ \frac{d\bbQ}{d\bbP} = \frac{\exp(-S(x)/\lambda)}{\E_{\bbP}[ \exp(-S/\lambda) ]} \:. $$ The claim now follows by plugging this optimal measure $\bbQ$ in. $\square$
Stochastic Optimal Control
We now consider the dynamical system $$ x_{k+1} = F(x_k) + G(x_k) u_k + w_k \:, w_k \sim \calN(0, I) \:, $$ where $F$ and $G$ are specified matrix-valued functions. Assume for simplicity that $G(x)^\T G(x)$ is positive-definite for almost every $x$. We assume $x_0$ is fixed. Fix a time horizon $T$, and let $\tau$ denote a trajectory $\tau := (x_1, ..., x_T)$. We will let the measure $\bbP$ denote the distribution on $\tau$ with the input $u_k = 0$ for all $k$. Next, for a fixed set of inputs $u = (u_0, ..., u_{T-1})$, we let the measure $\bbQ_u$ denote the distribution on $\tau$ with inputs $u$ applied. That is, $\bbP = \bbQ_0$. Now let $S(\tau)$ denote any non-negative cost function on the states. The optimal control problem we are interested in solving is $$ \mathop{\mathrm{minimize}}_{\{u_k\}_{k=1}^{T-1}} \:\: \E_{\bbQ_u}\left[S(\tau) + \frac{1}{2} \sum_{k=0}^{T-1} u_k^\T G(x_k)^\T G(x_k) u_k \right] \:. $$ We note here that we are searching for fixed vectors $u_1, ..., u_{T-1}$, instead of functions $u_k(\cdot)$. More generally, we could search for parameterized policies $u_k(\cdot; \theta_k)$ (thanks to G. Williams for this suggestion). Observe that the conditional distribution $\bbQ_u(\cdot | x_k) = \calN(F(x_k) + G(x_k) u_k, I)$. Hence, we have that conditioned on $x_k$, $$ D_{KL}(\bbQ_u(\cdot|x_k), \bbP(\cdot|x_k)) = \frac{1}{2} \norm{ G(x_k) u_k }^2 \:. $$ From this, we conclude that $$ D_{KL}(\bbQ_u, \bbP) = \E_{\bbQ_u} \left[\frac{1}{2} \sum_{k=0}^{T-1} u_k^\T G(x_k)^\T G(x_k) u_k\right] \:. $$ Hence, we can write, $$ \mathop{\mathrm{minimize}}_{\{u_k\}_{k=1}^{T-1}} \:\: \E_{\bbQ_u}\left[S(\tau) + \frac{1}{2} \sum_{k=0}^{T-1} u_k^\T G(x_k)^\T G(x_k) u_k \right] = \mathop{\mathrm{minimize}}_{\{u_k\}_{k=1}^{T-1}} \:\: \E_{\bbQ_u}[S(\tau)] + D_{KL}(\bbQ_u, \bbP) \:. $$ Now here comes the heuristic argument that we will need to move forward. By the proposition above, we can minimize the RHS of the above over all measures, and futhermore we know the exact form of the minimizer. Of course, there is no reason to believe that the set of measures parameterized by inputs is equal to the set of all measures. What we can do instead is to search over inputs such that the resulting measure $\bbQ_u$ is close to the optimal measure which we denote as $\bbQ^*$. Symbolically, $$ \{u_k\}_{k=1}^{T-1} = \arg\min_{\{u_k\}_{k=1}^{T-1}} \mathrm{dist}(\bbQ^*, \bbQ_u) \:. $$ Now how do we measure distances? We pick the KL divergence for convenience, $$ \mathrm{dist}(\bbQ^*, \bbQ_u) = D_{KL}(\bbQ^*, \bbQ_u) \:. $$ Recalling that the KL divergence is not symmetric, you may wonder why we choose $\bbQ^*$ as the first argument instead of the second. This will become clear soon.
Observe that in our setting, all measures $\bbQ^*$, $\bbQ_u$, and $\bbP$ are absolutely continuous w.r.t. the Lebesgue measure, with densities denoted as $q^*(\tau)$, $q_u(\tau)$, and $p(\tau)$, respectively. We write $$ \begin{align*} D_{KL}(\bbQ^*, \bbQ_u) &= \int \log\left( \frac{q^*}{q_u} \right) q^* \; d\tau = \int \log\left( \frac{q^*}{p} \frac{p}{q_u} \right) q^* \; d\tau \\ &= \int \log\left(\frac{q^*}{p}\right) q^* \; d\tau + \int \log\left(\frac{p}{q_u}\right) q^* \; d\tau \:, \end{align*} $$ and hence because the first term above does not depend on $u$ (this is due to the order of arguments in the KL divergence), $$ \arg\min_{\{u_k\}_{k=1}^{T-1}} D_{KL}(\bbQ^*, \bbQ_u) = \arg\min_{\{u_k\}_{k=1}^{T-1}} \E_{\bbQ^*} \left[ \log\left(\frac{p}{q_u} \right) \right] \:. $$ Next, a quick computation shows that $$ \begin{align*} \log\left(\frac{p(\tau)}{q_u(\tau)} \right) = \sum_{k=1}^{T} \log\left( \frac{p(x_k | x_{k-1})}{q_u(x_k | x_{k-1})} \right) = \sum_{k=0}^{T-1} \left(\frac{1}{2} u_k^\T G(x_k)^\T G(x_k) u_k + F(x_k)^\T G(x_k) u_k\right) \:. \end{align*} $$ Hence, $$ \begin{align*} \E_{\bbQ^*} \left[ \log\left(\frac{p}{q_u} \right) \right] &= \sum_{k=0}^{T-1} \left(\frac{1}{2} u_k^\T \E_{\bbQ^*}[G(x_k)^\T G(x_k)] u_k + \E_{\bbQ^*}[F(x_k)^\T G(x_k)] u_k\right) \:. \end{align*} $$ We can now analytically solve for the minimizing $u_k$'s. Using our positive-definite assumption on $G(x)^\T G(x)$, we have $$ u_k^* = - (\E_{\bbQ^*}[G(x_k)^\T G(x_k)])^{-1} \E_{\bbQ^*}[ F(x_k)^\T G(x_k) ] \:. $$ Of course, this is not immediately useful because we do not know $\bbQ^*$, and hence we cannot directly compute these integrals.
Importance Sampling for Estimating the Control Inputs
Fix any function $H(x_k)$. Recall that $$ \E_{\bbQ^*}[ H(x_k) ] = \int H(x_k) q^*(\tau) \; d\tau = \int H(x_k) \frac{q^*(\tau)}{q_u(\tau)} q_u(\tau) \; d\tau = \E_{\bbQ_u}\left[ H(x_k) \frac{q^*(\tau)}{q_u(\tau)} \right] \:. $$ Remember that $$ q^*(\tau) = \frac{p(\tau) \exp(-S(\tau)/\lambda)}{Z} \:, $$ where the normalization constant is $$ Z := \E_{\bbP}[ \exp(-S(\tau)/\lambda) ] = \E_{\bbQ_u}\left[ \frac{p(\tau)}{q_u(\tau)} \exp(-S(\tau)/\lambda)\right] \:. $$ As we computed above, the likelihood ratio is $$ \frac{p(\tau)}{q_u(\tau)} = \exp\left(\sum_{k=0}^{T-1} \left(\frac{1}{2} u_k^\T G(x_k)^\T G(x_k) u_k + F(x_k)^\T G(x_k) u_k\right) \right) \:. $$ Hence, we can sample $M$ trajectories $\tau_1, ..., \tau_M$, form the $M$ quantities $$ A_j := \exp\left(\sum_{k=0}^{T-1} \left(\frac{1}{2} u_k^\T G(x_{k,j})^\T G(x_{k,j}) u_k + F(x_{k,j})^\T G(x_{k,j}) u_k\right) - S(\tau_j)/\lambda \right) \:, $$ and use the estimator $$ \E_{\bbQ_u}\left[ H(x_k) \frac{q^*(\tau)}{q_u(\tau)} \right] \approx \sum_{j=1}^{M} \frac{H_k(x_{k,j}) A_j}{\sum_{j=1}^{M} A_j} \:. $$


{% extends "form-wrapper.html" %}
{% block head_title %}Verify your company - great.gov.uk{% endblock %}
{% block form_title %}Verify your company{% endblock %}
{% block button_next_label %}Next{% endblock%}
{% block button_finish_label %}Continue{% endblock%}
{% block form_subtitle %}
Enter the 12 digit code from the letter that was sent to {{ company.address_line_1 }}
{% endblock form_subtitle %}
{% block formarea %}
{{ block.super }}
or
Alternatively you can sign in to Companies House to verify. You will need your Companies House authentication code and the email and password you use to sign in.


Choose Your Rai
Pete Rai
Principal Engineer
Cisco
Pete's Blog
Kiran Rai
Human Computer Interaction
University of Birmingham
Kiran's Blog
Callum Rai
Mathematics & Statistics
UCL
Callum's Blog


I needed a simple application to save PDF's from a website and store them. I couldn't find an existing app which met my needs, so WebPF was born. I hope you find it useful too.
If you'd like to modify it or learn how it works, the source is available at: https://github.com/dougdiego/WebPDF


--- layout: documentation title: ICMPv4TimeExceededType ---
Time Exceeded error message; ICMP type=11.
| Field Name | Type | Description |
|---|---|---|
| TTL_Exceeded_In_Transit0..1 | boolean |
specifies that the time-to-live was exceeded in transit (code=0). |
| Frag_Reassembly_Time_Exceeded0..1 | boolean |
specifies that the fragment reassembly time was exceeded (code=1). |


Using the TodoService to create, delete, get, and update resources at the JSON Placeholder todos endpoint.
Note, because this is only a mock server the resources won't actually be modified, just faked as if they were. Any changes made will be reset when the data is refreshed. Also, creating a new todo will always return an object with id = 201.


--- layout: post title: Switching Java versions easily on a Mac date: 2015-08-12 12:06:04.000000000 +01:00 type: post published: true status: publish categories: [] tags: [] meta: _wpcom_is_markdown: '1' _edit_last: '1' _syntaxhighlighter_encoded: '1' _publicize_twitter_user: "@dvdsmpsn" _wpas_done_all: '1' _pingme: '1' _encloseme: '1' _thumbnail_id: '3252' mdlwp-height: '' mdlwp-bg-color: '' mdlwp-title-color: '' _wpas_skip_11278197: '1' author: David Simpson excerpt_separator: ---
I do a lot of development using Java 7 and recently needed to start using Java 8.
The quickest way I know to update to the latest Java uses homebrew:
brew tap caskroom/cask
brew install brew-cask
brew cask install java
I now need an easy way to switch back and forth between Java 7 & 8.
Adding this to your ~/.bash_profile
or ~/.profile
does the trick:
function setjdk() {
if [ $# -ne 0 ]; then
removeFromPath '/System/Library/Frameworks/JavaVM.framework/Home/bin'
if [ -n "${JAVA_HOME+x}" ]; then
removeFromPath $JAVA_HOME
fi
export JAVA_HOME=`/usr/libexec/java_home -v $@`
export PATH=$JAVA_HOME/bin:$PATH
fi
}
function removeFromPath() {
export PATH=$(echo $PATH | sed -E -e "s;:$1;;" -e "s;$1:?;;")
}
# set your default version
setjdk 1.7
– Source.
This script cunningly uses /usr/libexec/java_home -v x.y
to do the hard lifting.
I can now easily swap between Java versions as seen below:
david$ setjdk 1.6
david$ java -version
java version "1.6.0_65"
Java(TM) SE Runtime Environment (build 1.6.0_65-b14-462-11M4609)
Java HotSpot(TM) 64-Bit Server VM (build 20.65-b04-462, mixed mode)
david$ setjdk 1.7
david$ java -version
java version "1.7.0_71"
Java(TM) SE Runtime Environment (build 1.7.0_71-b14)
Java HotSpot(TM) 64-Bit Server VM (build 24.71-b01, mixed mode)
david$ setjdk 1.8
david$ java -version
java version "1.8.0_51"
Java(TM) SE Runtime Environment (build 1.8.0_51-b16)
Java HotSpot(TM) 64-Bit Server VM (build 25.51-b03, mixed mode)
This is a nice simple way to swap versions and is at least good enough for now.
Aside: I also tried out jenv which promises much, but wouldn't accept my versions of Java when I tried it out.


Testing suite for ginds. Not meant for production.


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acl acl2010 acl2010-159 acl2010-159-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Raphael Hoffmann ; Congle Zhang ; Daniel S. Weld
Abstract: Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervised learning of relation-specific extractors) requires manually-labeled training data for each relation and doesn’t scale to the thousands of relations encoded in Web text. This paper presents LUCHS, a self-supervised, relation-specific IE system which learns 5025 relations more than an order of magnitude greater than any previous approach with an average F1 score of 61%. Crucial to LUCHS’s performance is an automated system for dynamic lexicon learning, which allows it to learn accurately from heuristically-generated training data, which is often noisy and sparse. — —


--- title: Vision for Investment Managers sidebar: nav: "sb_InvestmentManagers" ---
These investment firms have been using Vision to keep their portfolio management systems on the cutting-edge -- a significant accomplishment given the unprecedented market activity and rapid technological change of recent years.
Technological advances have been dramatic over the past decade. Operating systems have been revamped, and new ones introduced, to take advantage of ever- more-powerful hardware. The internet, merely a curiosity a few years ago, has become central to global -- and corporate -- connectivity. Easy-to-use web browsers have made the internet and corporate intranets accessible to everyone.
Vision has advanced, too, staying ahead of and exploiting all of these technological innovations. Now Vision offers an extensive set of intranet- based portfolio applications and easy startup procedures. As a result, more investment firms can use Vision to improve their portfolio management and analysis systems, and more investment professionals within these firms can use Vision to make better business decisions.
Vision's power lies in its ability to bring together internal and external information, analyze it, present the results in clear, easy-to-understand applications, and deliver those applications directly to the investment professionals who need them.
Vision seamlessly integrates any number of internal and external data sources (domestic or international), including:
Vision comes with an extensive set of sophisticated, yet easy-to-use, investment management and analysis applications designed to meet the needs of such functional areas as:
Vision's applications are delivered directly to your users' desktops through their familiar intranet browser. What's more, you can tailor the applications, and add new ones, as your firm's business requirements dictate.
Vision provides an infinitely flexible, extendible environment. As a result, your Vision portfolio management and analysis system can be customized easily to meet the needs of your firm and your investment professionals.
At the beginning, you may decide to implement Vision quickly and use the standard set of applications that come with the product. Over time, you may decide to modify the applications, add new applications, or add new data sources. Eventually, you may decide to exploit Vision's full range of capabilities as both a powerful database management engine and an object- oriented programming language.
Vision allows you to design a system that can meet your needs today and adapt to your changing needs tomorrow.
Weeks 1 through 4. The goal in the first four weeks is to define and
load your internal data so that portfolio managers can view their own portfolios
via their desktop browsers.
Weeks 5 through 9. The goal during the second four weeks is to link your
system to external data feeds, modify Vision's standard applications to meet
your needs, and develop custom reports. At the end of this period, you will
have a complete, functional system with all the data feeds and applications you
require for rollout.
Weeks 10 through 14. The goal during this period is to put the data upload process and other necessary operational procedures into routine production, enabling you to smoothly manage the day-to-day administration of your Vision portfolio management and analysis system.
{% include doc-footer.htm copydates="1999" %}


Choose how much readers pay in order to read your paid section.
{{story.paidSectionCost}}$
Pay-to-read Section
Choose your paywall content by selecting what's inside the green outline using the up and down arrows.
story.paidSectionLinebreak && index < paidSectionLinebreakEnd,
'paid-section__locked_section-bottom': index === paidSectionLinebreakEnd}"
[innerHTML]="convertBlockToHtml(block)">


Documentation
Shattered Ruby builds upon the efforts of Ogre3D and Ogre.rb. It is important to have a grasp of these libraries as well as Shattered Ruby's abstractions.
Shattered Ruby resources:
- RDocs
- Tutorials (coming soon)
Ogre and Ogrerb resources:
As the Ogre.rb project points out:
Ogre.rb [and Shattered] will not attempt to document the Ogre public API. This library assumes decent working knowledge of Ogre itself, though if you need help Ogre has a very good set of documentation available at these places:
Help Wanted!
We need help with making Shattered Ruby more accessible!
What we need
- Examples
- Tutorials
- Better rdocs
- Cool one page cheat sheets
- Anything else!


Getting Started with Codinie!
Codini automates the coding of boilerplate code. Basically, it retireves schema
information from database or other souces and generates skeleton or full working
code depeding on the template.
Here is a quick steps for generation
- Create a new project.
- Configure the source of schema, e.g. database connection.
- Configure the source of schema, e.g. database connection.


Hand color (Long)
Hand color (Short)
Face color (Background)
Face color (Dot)
Title Format
Supported Format
About
Color Picker
Color Picker - jQuery plugin
Design
Papier


Guess the Jersey
Your score so far is: 0 points
Level One
Check your Answer
Check your Answer
Check your Answer
Check your Answer
Check your Answer
Check your Answer
Check your Answer
Check your Answer
Check your Answer
Level Two
Oops, you must have 70 points to play Level Two!
Coming Soon!


Your partner to financial success!
Are you an investor?
Are you interested in reaping profits from the Forex Markets?
But you don’t have the time to devote to trading activities or don’t have sufficient knowledge to trade forex?
Well, no worries Beast FX have you covered, Beast FX will offer you a trading module known as “Percentage Allocation Management”
Beast Forex is an investment company, who oversees the investments within their client’s portfolio. All client’s portfolio will be supervise on a daily basis to choose the best set of trades. The clients will be able to get access to their portfolio and funds performance weekly.
The sole mission of Beast Forex is to seek out potential investors and turn them into successful investors over a short period of time. By allowing our traders to generate profits on a monthly basis. The investors will be paid up to 50 % of their investment depending on their investment plan.
Beast Fx and its traders will implement a chosen investment strategy by selecting when to buy or sell the assets held in a portfolio.


#include <parttree.h>
Public Attributes | |
| short | ktup |
| Size of the ktup. | |
| short | ng |
| power | |
| int | tsize |
| number of possible ktup | |
| int | subgroup |
| subgroup size | |
| FILE * | ktup_table_f |
| File with the ktup tables. | |
| long * | ktup_positions |
| Index of the positions in the ktup file. | |
| int | num_sequences |
| number of sequences | |
| int * | seq_lengths |
| length of the sequences | |
| double | threshold |
| threshold for filter | |
| Tree_fastal * | tree |
| An Integer array to save the tree. | |
| int | pos_tree |
| Current position in the tree. |
Saves all important paramters for the PartTree algorithm
An Integer array to save the tree.
Always three fields in this array belong together. The first two denote the number of the children the third one the number of the current node.


grafana v0.1.3 Grafana.Admin View Source
Link to this section Summary
Functions
Delete global user with given id
Create new global user as specified by json
Set password for user with given id. Json format is {“password”: “
Set permissions for given user as specified by json
Get global admin settings
Format user parameters into JSON
Link to this section Functions
Delete global user with given id.
iex> {:ok, response} = Grafana.Admin.delete_user(1) …> Map.keys(response) [“message”]
Create new global user as specified by json.
iex> {:ok, response} = Grafana.Admin.new_user(%{“name” => “User”, “email” =><EMAIL_ADDRESS>“login” => “user”, “password” => “userpassword”}) …> Map.keys(response) [“id”,”message”]
Set password for user with given id. Json format is {“password”: “
iex> {:ok, response} = Grafana.Admin.set_password(1, %{“password” => “newpassword”}) …> Map.keys(response) [“message”]
Set permissions for given user as specified by json.
iex> {:ok, response} = Grafana.Admin.set_permissions(1, %{“isGrafanaAdmin” => true}) …> Map.keys(response) [“message”]
Get global admin settings.
iex> {:ok, settings} = Grafana.Admin.settings …> Map.keys(settings) [“DEFAULT”,”analytics”,”auth.anonymous”,”auth.basic”,”auth.github”,”auth.google”,”auth.ldap”,”auth.proxy”,”dashboards.json”,”database”,”emails”,”event_publisher”,”log”,”log.console”,”log.file”,”paths”,”security”,”server”,”session”,”smtp”,”users”]
Format user parameters into JSON.
Model: { “name”:”User”<EMAIL_ADDRESS>“login”:”user”, “password”:”userpassword” }


Mexico: 2 dead, 35 homes burned in Baja California.
by EndPlayMEXICO CITY (AP) - Mexican authorities say two people have been killed and 35 homes damaged by two wildfires burning in the northwestern border state of Baja California.
The federal Department of Security and Citizen Protection said late Friday in a statement that the blazes were located in the areas of Ensenada and Rosarito.
The former covered about 60 acres (25 hectares) and was 95% extinguished. The latter covered about 25 acres (10 hectares) and there was no information on how much had been brought under control.
The department said the toll of deaths and damage was recorded since the fires "reactivated" Oct. 30.
Baja California state is across from California, which has also been hit by wildfires recently amid windy and dry conditions.


Plugin Information |
|---|
No information for the plugin 'appio' is available. It may have been removed from distribution. |
This plug-in allows you to upload an iOS application package to App.io so that you can see the app running on a remote iPhone/iPad simulator: if successful, the simulator will be displayed embedded on the main project page as shown below, and there is also a link that will take you to the App.io site, where you can customize your application view. There is an example of the plugin in use on the CloudBees partnerdemo site, with the Jenkins configuration.
Known Limitations
Limitations that I am aware of in the current implementation include:
- Need for Proxy Server support
- Allow user to configure simulator iPad/iPhone Landscape/Portrait orientation
- More generic mechanism for file upload (currently uses a simple Amazon S3 scheme
Configuring the Plugin
Global Configuration Parameters
The plugin uses Amazon's S3 service to upload the zipped .app iOS build: use Jenkins->Manage Jenkins->Manage Credentials to enter the AWS Access and Secret Key and S3 bucket to use for uploading. We strongly recommend that you create an IAM user specifically for this purpose and configure a security profile that limits access to that specific bucket, like this:
{ "Statement": [ { "Sid": "AllowPublicRead", "Action": [ "s3:GetObject", "s3:PutObject", "s3:PutObjectAcl" ], "Effect": "Allow", "Resource": [ "arn:aws:s3:::mqp-appio/*" ] } ] }
The following properties are configured via the Credentials page:
- AWS Access Key: (used for S3 file uploads)
- AWS Secret Key: (used for S3 file uploads)
- AWS S3 Bucket Name: (used for S3 file uploads)
- App.io API Key: (used for App.io REST API calls) - see https://app.io/account/api
Configuring a Post-build Action
The following parameters need to be set:
- Build package: the name of the .app iOS build package to upload to App.io. This must be a simulator build - typically this would be something like WORKSPACE/build/Debug-iphonesimulator/<package>.app. The package will be zipped and uploaded to App.io via S3.
- Application name: the name that App.io will use for this application (validation is performed via the App.io API).
Changelog
Version 1.3 (Sep 10, 2013)
- Added App.io logo to Action and ProminentProjectAction links
Version 1.2 (Sep 8, 2013)
- Fixed bug in AppioAppObject: changed model classes to include only required fields
- Changed plugin to use "prismadrop" as default URL where no succesful build exists
- Added Application Name validation to AppioRecorder descriptor
Version 1.0 (Jun 18, 2013)
- Initial release
Attachments:
Screen Shot 2013-06-19 at 11.06.03 PM.png (image/png)
Screen Shot 2013-06-19 at 11.06.51 PM.png (image/png)
Screen Shot gasp-test.png (image/png)


The Sahib Room & Kipling Bar
Known For-Luxurious North IndianThe Tasting Room
Known For- Exhaustive Wine MenuQuattro Ristorante
Known For-Its Mexican and Italian delicacies.K&K - ITC Grand Central
Known For-Its Hyderabadi/ Lucknowi CuisineFarzi Cafe
Known For-Modern Indian cuisines
High Street Phoenix Mall
Palladium, Lower Parel
Grand Galleria Mall
The design of G7 mall is evocative of a charming shopping hub in a bollywood people dominant area. The G7 Mall located in Andhe India for females only. Directions
Le Pain Quotidien
Famous for- Detailed European MenuChaayos, Lower Parel
Famous for- TeaThe Rolling Pin
Famous For-Fresh baked breadChai Pe Charcha
Famous For-Fast food and teaZen Cafe
Famous For-Lunch And Coffee
Tryst
Modern, neon-lit nightspot with private tables and a long bar offering bar bites and cocktails.EXO
Lavishly decorated hotel venue with a fully-stocked bar offering modern and classic cocktails.PLAY - THE LOUNGE
DirectionsHoppipola, Mumbai, Lower Parel
DirectionsTodi Mill Social
International cafe cuisine served alongside adventurous cocktails in a stylish urban space
PVR Phoenix,lower parel
Deepak Cinema
PVR: Phoenix, Kotak IMAX, Lower Parel
-
Shree Siddhivinayak
DirectionsLal Baug Cha Raja
DirectionsMahalakshmi Temple
DirectionsHaji Ali Mosque
DirectionsWorli Fort
Directions
The St. Regis Mumbai
DirectionsITC Grand Central
DirectionsAsilo
DirectionsMumbai Darbar Hotel
DirectionsHotel Raviraj
Directions


The Quesa distribution provides all of the header files which define the Quesa API - this includes both the QuickDraw™ 3D API, and our extensions to it.
Applications which use the Quesa headers may not be binary-compatible with QuickDraw™ 3D 1.6 (since they may make use of extensions which are not present in Apple's QuickDraw™ 3D).
| Quesa Web Site hosted by DesignCommunity.com |


bdendro package¶
Bokeh helpers for visualizing a dendrogram.
Functions¶
|
Make a renderer of a dendrogram. |
|
Set x and y axes to be appropriate for a dendrogram. |
|
Make a mapping from a subtree label to a color. |
Bokeh helpers for visualizing a dendrogram.
|
Make a renderer of a dendrogram. |
|
Set x and y axes to be appropriate for a dendrogram. |
|
Make a mapping from a subtree label to a color. |


Manage your bucket list efficiently
Easily add items with awesome feature image, data sync across devices
---
title: Home
description: The latest app to help you find new friends with common interests.
image: https://images.unsplash.com/photo-1452421822248-d4c2b47f0c81?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=2767&q=80
bottom_image: https://images.unsplash.com/photo-1568941132351-ee4fff172b42?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=2767&q=80
---
A powerful app which allows you to create and manage a list of things to do before you die!Buckist - Best bucket list app ever
Easily add items with awesome feature image, data sync across devices
Inspirations list where you can explore other users ideas and wishlist
Buckist supports many types of security methods: Pincode, Passcode, Fingerprint and customizations to make the most comfortable app to use
It's free, fun and an exciting way to motivate yourself.


Previous article: Project description - Get and store data
Next article: Project description - Drawing conclusions with data
What this section is about
After having decided about the data we should collect and store, in this stage we start to prepare the data for the subsequent analysis. There two important goals here. First, to avoid what goes by the acronym GIGO; that is ‘Garbage In, Garbage Out’. It is obvious that if the values that we use are not correct, then either the analysis will not produce results, or even worse, will produce statistically valid results, but that will fail to materialise in reality. Second, to get a deeper idea about the variables in the dataset, and their interrelations. Therefore, what we have here are three main goals, where each one of them informs the others. As it was the case in stage 1, here too we have a triangle where each vertex is cleaning, validating, and summarising our data. Let us see in more detail.
In the previous stage, we tried to make sure that the data we have conform to some rules. If, for example, we loaded records in a database, we wanted to make sure that each column has the correct type. Here we can take a step further. If a field goes under the name ‘patient height’ we should have already made sure that each record is a float number – measuring in meters. Suppose we observe the value 18.5m. In that case it is almost sure that the decimal sign is misplaced by one digit, and we should correct this value. Another example is a misspelled string, say a company name, which would then appear as a separate entity, although it’s not. This should be fixed too. This is the sort of activity that I use the term cleaning for.
If we do all that - we will be more explicit in the next level - we will have a caught many data glitches, input errors, etc. But we will still need something more; we will have to compare our data, against the domain canvas. This is necessary since we cannot interpret data otherwise. Revisiting the airdata example, suppose we have a flight record with normal fields. The departure time is before the arrival time, the dates are ok, etc. We perform a calculation to find the speed of the flight (distance over airtime), and surprisingly it is higher than 1 Mach. Is this possible for a domestic passenger flight? Well, in order to clarify the issue we need to get further than looking at the data set and delve into the specific domain. Only in this way we can validate that what is there in our dataset, corresponds to the real processes that produced it.
As you have probably noticed, we have already made use of summary statistics. In detecting the abnormal ‘patient height’ we didn’t check every individual record, but looked at the range of the values which showed the abnormal maximum. That is, summarising the main characteristics of the dataset, is not something to be done in the end. It is part of iterative process. Actually, we could even start with producing summary statistics and plots for the data. This first look will help us to detect possible anomalies to be further examined, that will lead to a better understanding, that will lead to better summary statistics, and so on.
input
At this stage the input is the main data source we have prepared previously. Note, that the domain knowledge collected in stage 1, will also be useful in make sense of the data.
processing steps
First effort to describe data - summary statistics, lots of plots. Flag possible errors and outliers Perform semantic tests against the domain canvas Decide what should be "flagged". Removing records might not be good practice, flag them as inappropriate instead. Produce summary statistics and plots. If more problems spring out, repeat the above processes.
output
After having performed the above steps, we should be having these:
- Review of decisions on data cleaning: outliers, input errors, etc.
- Data description report.
- The cleaned data set; a transformed copy of the "read only" raw data.
- The code script for that section, that should be reading the data, fixing what is to be fixed, and producing the necessary plots and summary statistics tables to be used in the data description report.
example
We continue with the airdata example we introduced in the previous articles. In the previous stage we have decided on the way to store the data relevant for answering the questions at hand.
It is now time to start exploring the dataset. How many airports and airlines are there? The variable descriptions of the flights data indicate that departure and arrival times are recorded in local time. Do these make sense? Are these in accordance with the flight duration captured in other variables? Do different air carriers have variations in the delays? In the next section we will see some of our findings.
attention
If we have to pay attention to a couple of points these would be:
- Instead of removing records, flag them and leave them with the rest of the data if it is possible. You might remove something that shouldn’t have been removed. Also, the ‘bad’ themselves might have certain patterns worth investigating.
- Use a lot of plots. Visual inspection can provide more information, faster.
- Don’t forget the domain. You need it to understand what is normal and what is not.
sources:
- Tamraparni, Johnson, Exploratory Data Mining and Data Cleaning
- McCallum, Bad Data Handbook
- Squire, Clean Data


WAVE TWISTERS A film review by Christopher Null Copyright 2001 filmcritic.com filmcritic.com
Have I lost my hipness? Signs point to yes!
Wave Twisters, the brainchild of a foursome of turntable DJ's, is practically a 45-minute animated music video wherein DJ QBert's spins and samples are given Technicolor life. There's a story of sorts inside the movie -- though the dialogue is, as near as I can tell, all sampled from TV commercials and old sitcoms. For those who insist on playing along, it's a sci-fi-ish tale a la Star Wars, wherein the animated Inner Space Dental Commander must use his own brand of "force" (aka spinning records) to wage battle against the villainous DJs (who play themselves in live footage among the animation, Roger Rabbit style).
Full of pop culture references -- villains with Palm Pilots, Macs that ask you about alcoholism, robots that need to be reset with a paperclip -- Wave Twisters is reasonably fun; it's just not what I'd call great cinema. Rather, it's something that would probably play better projected on the wall at a rave instead of in a dark and quiet movie theater. (No doubt, most people who see Wave Twisters will do so standing up.)
Alas, I never got the "All your base are belong to us" payoff I was hoping for in the movie, but I guess Wave Twisters was created a tad too early for that craze. But what do I know? The film tied for best "midnight film" at this year's SXSW film festival. Here's to the hip kids.

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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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Related links: index of all rec.arts.movies.reviews reviews


Jobless Benefits
An analysis of labor department data shows half a million prematurely lost jobless benefits
Data and graphics reporter at Louisville Public Media working with supertalented journalists of NPR's local station WFPL News, Kentucky Center for Investigative Reporting and Ohio Valley ReSource.
Past lives: Reuters News, DNA, Columbia Journalism School, Asian College of Journalism, National Institute of Technology, Srinagar
Resident of Louisville, native of Indian-administered Kashmir, lover of New York City and hater of narrative fallacies.
Favorite quote: The lust for comfort kills the passions of the soul. - Khalil Gibran, The Prophet.
Interests: Debunking conventional wisdom.
Goals: To become a better person than I was yesterday.
Secrets to success: Collabartion, collaboration and collaboration.


Macro Afternoon
by Chris BeckerOutside China, stocks are quite boisterous here in Asia leading to good buy signals for the northern hemisphere as we close the trading week out. The USD is coming back against Yen, while risk proxies Kiwi and Aussie bounced a little higher today but are lacking any signs of real momentum.
Chinese stocks are still under pressure with the Shanghai Composite playing catchup to fall over 0.6% to close the week out below 2900 points while the Hang Seng Index finally stopped falling, gapping higher at the open but holding on with a minor 0.1% gain into the close to 26366 points. Price remains well below previous trailing ATR support and the previous resistance zone so a continued retracement down to 25000 points is still on the cards here:
Japanese share markets flipped from selloff mode to all hands on the buy button with the Nikkei 225 closing 0.7% higher to 23303 points. Yen buying abated somewhat with a sizable bouncbeack in the USDJPY pair after being considerably oversold overnight. This is not yet over however and definitely not a buy signal due to the lack of a crossover in negative momentum:
The ASX200 rebounded again, closing only a few points shy of the 6800 level, up nearly 0.9% despite a slightly higher Aussie dollar. The Pacific Peso rebounded late last night but has failed to hold at or above the 68 handle here going into the City open, as this swing looks almost out of puff before it starts:
Both S&P and Eurostoxx futures are up 0.6% or so with the S&P500 four hourly chart showing price breaking out above overhead resistance at the 3100 points level, suggesting a good finish to the week here:
The economic calendar finishes the week with US retail sales figures for October. Have a safe weekend and good trading!
Chris Becker
Latest posts by Chris Becker (see all)
- Macro Afternoon - November 15, 2019
- Macro Morning - November 15, 2019
- Macro Afternoon - November 14, 2019


Across: 1,9,20,11. One down! (5 9 3 7) 4. Fed nutty aides nuts (9) 9. see 1 10. Pitch side that believe in motion - skipping that is! (5) 11. see 1 or 24dn 12. Upset refined surface having a joint (7) 13,26dn. Powerful person, such as one with oversight of London perhaps (3 5) 14. see 24dn 19. No covers in set for a change (10) 20. see 1 or 24dn 22. Different products, but same formula: tax office takes some! (7) 25. It flies back or wraps around (7) 27. Lowering lid evenly to come down gently (5) 28. Backing white not red numbers gave a hint (9) 29. Creed, plus getting drunk in bars! (9) 30. Complete child criminal (5) Down: 1. For a dark passage? (5) 2. Porridge cooked for ten to dine (9) 3. Whale concealed being without a flower (6) 4. Fish lingers, taking in mysterious grin (9) 5. Used by bats on a raid (5) 6. Bail Anna out (she's probably in Europe) (8) 7. New form of love story (5) 8. Fooling Penny and getting away (8) 15. In Cromwell's forces (9) 16. At the heart of force nine storm (9) 17. Cat messed up in getting dog back for misbehaving (6 2) 18. Reconvene, really partial to intercourse (8) 21. Vehicle to spoil motivation (6) 23. Passive one scores six! (5) 24,14ac,20ac,11ac. Five down! (5 10 3 7) 26. see 13ac


If you need a nice dummy text generator I recommend using PKDipsum built by my friend Alex Muraro. He lives in Italy. PKDipsum generates placeholder text for a variety of uses and all the text is taken from Phillip K. Dick novels.
It looks like this was the result of either:
This paragraph follows a nice h3.
Paragraph text.
List item with embedded paragraph
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces. With her black hair and her pale skin, doleful, probing eyes
If Juliana were here, he thought, she could stroll in there and do it without batting an eye; she’s pretty, she can talk to anybody on earth, and she’s a woman. After all, this is women’s jewelry. She could wear it into the store. Shutting his eyes, he tried to imagine how she would look with one of their bracelets on. Or one of their large silver necklaces.


{% extends "base.html" %} {% block head_content %}
Mathematician by the Autonomous University of Madrid, and master's degree in Advanced Mathematics and Mathematical Engineering by the Polytechnic University of Catalonia.
Passionate about technology
Lifelong learner
Abstract: Word embeddings have recently become a fundamental tool of Natural Language Processing, with application to tasks like machine translation or image annotation. The high-dimensional space defined by these embeddings is typically explored and exploited through distance-based operations. In this paper we work on the problem of finding words related between them in a text embedding. This relationship can be of different kind, we focus in semantic relations like synonymy and antonym. We explore the idea of using the distance between norms instead of, like other authors has done before, the vector that units them. We present different norms, some of them well known in the literature and others no so widely used and also we introduce a new one and its theoretical mathematical framework. We also give an explanation of why them work properly or not and compare their performance on the two most used embeddings, GloVe and Word2Vec.
Relevant Coursework: Codes and Cryptography, Discrete and Algorithmic Geometry, Graph Theory, Estadística para la Gestión Empresarial (from MESIO, Máster universitario en Estadística e Investigación Operativa).
2015-2016: Universitat Autònoma de Barcelona (UAB).
2016-2017: Universitat Politècnica de Catalunya (UPC).


RRS-OACIS in various feature is disabled by default. It is possible to use by activating the setting screen.
In the browser
http://localhost:3080/settings
Go to.
Move by clicking on the "Apps" in order to move to the function list screen
This time, select the Run
Enable the feature by pressing the "Enabled" button.
When you see as above is the activation is complete.
This section describes how to update.
In the browser
http://localhost:3080/settings-general
Go to.
Press the button "Update".
Button is the update success if it becomes "Latest version" as shown in the image above.