Anthony Joshua flaunts his adorable daughter after winning against Andy Ruiz
- Anthony Joshua flaunts his little daughter after the bout against Mexican boxer Andy Ruiz Jnr.
- After winning via unanimous decision, Joshua brought over his daughter to the boxing ring, carrying her on his shoulder while granting the interview
- Anthony Joshua has regained his titles from Ruiz who took them from him in a boxing bout six months ago
Heavyweight champion Anthony Joshua has shown his little daughter to the world after winning his match in Saudi Arabia.
In a video making waves on social media, the reigning holder of four title belts was seen showing off his daughter after beating Andy Ruiz Jnr.
Joshua was captured carrying his daughter on the shoulder while talking about his willingness to continue boxing and meet other boxers.
The little girl, on the other hand, held his father's shoulder as she starred at the parked auditorium with innocence.
"I took my L, and I bounced back, anyone could do it. Life is like a roller coaster, what do you want me to do, give up?" he quizzed.
PAY ATTENTION: Become a member of the leading sports Facebook group 'Naija Football Fan Zone'
"I hear a man say I should retire, I should retire, come on, I love this sports," he bragged, calling on Andy Ruiz to ask if he is willing to retire.
Andy Ruiz who defeated Joshua six months ago but lost on the night responded, saying "I won't retire! I want to see the third fight."
Patrons of the much-attended boxing match cheered the two boxers up with a loud noise, as the journalist asked them to talk about the future.
In response to whether he will love to have a third fight with Andy Ruiz Jnr, Anthony Joshua said "No doubt," in agreement to another match.
READ ALSO: NAIJ.com upgrades to Legit.ng
In a much-anticipated second bout between Anthony Joshua and Andy Ruiz, the judges scored the fight 118-110, 118-110 and 119-109 to 30-year-old Joshua.
This is the first time such a high profile boxing match was held in The Clash on the Dunes in Diriyah, Saudi Arabia.
By this win, Anthony Joshua has the IBF, WBA, WBO, and IBO titles, having a record of 23 fights with only 1 loss.
Legit.ng earlier reported that British fighter Anthony Joshua has reclaimed his heavyweight titles six months after initially losing them to Andy Ruiz.
The 30-year-old boxer won the bout through unanimous decision having amassed more points than his opponent in the bout.
Joshua won back the WBO, IBF and WBA heavyweight titles on Saturday night with a 12-round action-packed after defeating Ruiz Jr. in Saudi Arabia.
Can Nigeria U17 team win a 6th World Cup title in Brazil? | Legit TV


Compute cw EPR resonance line positions (fields or frequencies), line amplitudes and line widths.
Pos = resfields(Sys,Param) Pos = resfields(Sys,Param,Opt) [Pos,Amp] = resfields(...) [Pos,Amp,Wid] = resfields(...) [Pos,Amp,Wid,Trans] = resfields(...) [Pos,Amp,Wid,Trans,Grad] = resfields(...)
The usage of resfields_perturb
, resfreqs_matrix
, and resfreqs_perturb
is identical.
resfields
and resfields_perturb
compute resonance fields, line intensities and line widths for field-swept cw EPR spectra. resfields
using matrix diagonalization and energy level diagram modelling, and resfields_perturb
uses perturbation theory.
resfreqs_matrix
and resfreqs_perturb
compute resonance frequencies, line intensities and line widths for frequency-swept cw EPR spectra. resfreqs_matrix
using matrix diagonalization, and resfreqs_perturb
uses perturbation theory.
Sys
is a spin system structure containing all parameters of the spin system.
Params
is a structure containing the following experimental parameters.
mwFreq
resfields
and resfields_perturb
only.)
Field
resfreqs
and resfreqs_perturb
only.)
CenterSweep
[center sweep]
of the range which is searched for resonances. For field sweeps, the units are mT. For frequency sweeps, the units are GHz. Only resonances within this range are computed.
CenterSweep
or in Range
. If both are given, CenterSweep
has precedence.
Range
[sweepmin sweepmax]
of the range which is searched for resonances. For field sweeps, the units are mT. For frequency sweeps, the units are GHz. Only resonances within this range are computed.
CenterSweep
or in Range
. If both are given, CenterSweep
has precedence.
Temperature
This field specifies the temperature of the spin system in the EPR experiment, in kelvin. E.g., Exp.Temperature = 298
corresponds to room temperature. If given, populations are computed for all energy levels assuming thermal (Boltzmann) equilibrium, and the population differences between two levels are included in the line intensities of the corresponding EPR transition. If not given (or set to NaN
), the populations are not calculated, and all transitions are assumed to have equal population difference of 1.
To specify non-equilibrium populations, use the spin system field Sys.Pop
. See the user guide on spin polarization.
CrystalOrientation
φ, in the first column, is the angle between the xC axis and the xCyC plane projection of the orientation of the external field (zL) in the molecular frame of the spin system. θ, in the second column, is the angle at which the external field is off the zC axis. The optional χ, in the third column, specifies the third Euler angle and fixes the xL axis of the laboratory in the crystal frame. If the third angle is not given, it is assumed to be zero.
CrystalSymmetry
Param.CrystalSymmetry = 'P21/c'; % space group symbol Param.CrystalSymmetry = 11; % space group number (between 1 and 230) Param.CrystalSymmetry = 'C2h'; % point group, Schönflies notation Param.CrystalSymmetry = '2/m'; % point group, Hermann-Mauguin notation
When CrystalSymmetry
is given, all symmetry-related sites in the crystal are included in the calculation. If CrystalSymmetry
is not given, space group 1 (P1, point group C1, one site per unit cell) is assumed.
MolFrame
Param.MolFrame=[0,pi/4,0]
tilts the x and z axis of the spin system's molecular frame (xM, zM), relative to the crystal frame (xC,yC,zC).
mwPolarization
'linear'
(default), 'circular+'
, 'circular-'
, 'unpolarized'
. 'circular+'
('circular-
) means that the magnetic field component of the radiation is rotating in the positive (negative) sense around the propagation direction.
Mode
'perpendicular'
(default), 'parallel'
, [k_tilt alpha_pol]
.
Resonator experiments:
For conventional experiments involving linear polarized microwave in a standard resonator, use 'perpendicular'
(default) or 'parallel'
. In the perpendicular mode, the microwave field B1 is along the laboratory x axis (xL), in the parallel mode it is along the z axis (zL), parallel to the external static field B0. The perpendicular detection mode is by far the most common.
Beam experiments:
For beam experiments, specify the angle between the propagation vector k and the static magnetic field B0 in k_tilt
, in radians. Param.Mode = 0
corresponds to Faraday geometry, where B0 and k are parallel. Param.Mode = pi/2
corresponds to Voigt mode, where B0 and k are perpendicular. B0 is along the laboratory z axis (zL), [0; 0; 1]
in the lab frame. Together, B0 and k define the zL-yL plane, where yL is the laboratory y axis.
alpha_pol
gives the polarization angle of the radiation. alpha_pol
is the angle off the zL-yL plane in the plane perpendicular to the propagation vector k. This has only an effect for linearly polarized excitation (Param.Mode = 'linear'
).
In the lab frame, the direction of propagation is
nk = [0; sin(k_tilt); cos(k_tilt)]and the direction of the linearly polarized B1 field is
nB1 = [sin(alpha_pol); -cos(alpha_pol)*cos(k_tilt); cos(alpha_pol)*sin(k_tilt)]
The structure Opt
contains computational options. The separate fields as well as the structure as a whole are optional. If a field or the structure are missing, the function defaults to standard settings.
The fields are different for resfields
/resfreqs_matrix
(matrix diagonalization function) and resfields_perturb
/resfreqs_perturb
(perturbation theory function).
For resfields
and resfreqs_matrix
, the option fields are
Transitions
'all'
resfields
uses them and skips its
automatic transition selection scheme. State pairs are specified in Transitions(k,:)
by the level numbers which start with 1 for the
lowest-energy level. E.g., Opt.Transitions=[1 3; 2 6; 4 6];
specifies three transitions, where the third is between levels 4 and 6.
'all'
is given, all transitions are included.
Threshold
resfields
's transition pre-selection. Any transition with an estimated relative average amplitude less than this number is not included in the calculation. The relative average amplitude of the strongest transition is 1, the default is 1e-4
. The pre-selection is an approximate procedure, and it might miss transitions for complicated spin systems. In these cases, setting it to zero will include all transitions in the computation.
Sites
Opt.Sites
is empty or not given, all sites are included. If given, it must be a list of site numbers. The number of sites depends on the space group given in Exp.CrystalSymmetry
. E.g. the following set limits the simulation to sites 1 and 3 of the 4 magnetically distinct sites in crystal of space group no. 47.
Exp.CrystalSymmetry = 47; % space group Pmmm Opt.Sites = [1 3];In powder simulations,
Opt.Sites
is ignored.
Sparse
Verbosity
Opt.Verbosity=0
, nothing is shown. 1 logs relevant information, 2 gives more details.
For resfields_perturb
and resfreqs_perturb
, the option fields are
PerturbOrder
Verbosity
Opt.Verbosity=0
, nothing is shown. 1 logs relevant information, 2 gives more details.
There are up to five outputs from resfields
, resfields_perturb
, resfreqs_matrix
, and resfreqs_perturb
.
Pos
, in units of mT. The various transitions are along columns, each column corresponding to a separate orientation.
Int
output contains the intensities, with the same layout as Pos
.
Wid
, again in mT. They are Gaussian FWHM (full widths at half maximum).
Trans
is the list of computed transitions. This list has the same format as the Transitions
option in Opt
.
A comparison between the resonance field position obtained from resfields
(spline modelling approach) and eigfields
(exact solution) shows that differences are negligible.
First we compute the resonance fields for an axial spin system with two equivalent protons.
Sys = struct('S',.5,'g',[2.3,2.3,2],... 'Nucs','1H,1H','A',[10 10 500; 10 10 500]); Param = struct('mwFreq',9.5,'Range',[200 400]); [p,t] = sphgrid('Dinfh',201); Param.CrystalOrientation = [p;t].''; x = resfields(Sys,Param);
Next we compute line positions using eigfields
, which is much slower.
xr = []; for i=1:length(p) Param.CrystalOrientation = [p(i),t(i)]; xr(:,i) = eigfields(Sys,Param); end
After plotting the result
h = plot(t*180/pi,xr,'k.',t*180/pi,x,'r'); ylim([290 360]); xlabel('theta [deg]'); ylabel('field [mT]');
we see that the resonances obtained by the two methods are practically identical.
eigfields, garlic, levels, levelsplot, pepper


--- layout: post title: Picture of the Day—Snowflake date: '2011-01-13T22:35:00.003-06:00' author: Jabell tags: - Photography - Weather modified_time: '2011-01-13T22:37:48.200-06:00' thumbnail: http://farm6.static.flickr.com/5166/5352791727_0dbb65b282_t.jpg blogger_id: tag:blogger.com,1999:blog-19739956.post-7587603587715192756 blogger_orig_url: http://theabellsix.blogspot.com/2011/01/snowflake.html ---
My wife is ah-may-zing. Click on this photo to see more at her flickr site. She had to stay outside and freeze to get these shots.


Locating at homepage.
Current version is: <%= VERSION %>;
%- include ./header.html -%>
<%- include nav.html -%>This is a test page, tests for javascript & CSS & images version to makes browser clear cache automatic when the static files was changed;
Locating at homepage.
Current version is: <%= VERSION %>;


Seahawks capitalise on Wentz woes, Gore rushes to third
by OmnisportCarson Wentz had a Sunday to forget as the Philadelphia Eagles were beaten 17-9 in an NFC battle with the Seattle Seahawks, while Frank Gore moved third on the all-time NFL rushing list.
The injury-hit Eagles really needed a win to put pressure on NFC East leaders the Dallas Cowboys, but fell to 5-6 after quarterback Wentz and the Philadelphia offense failed to fire in Week 12.
Second-placed Seattle are 9-2 in the NFC West after improving their perfect record on the road to 6-0, Rashaad Penny playing a huge part in their fourth consecutive win.
Gore moved past Barry Sanders on the list of the leading rushers in a 20-3 victory for the Buffalo Bills over the Denver Broncos.
Wil Lutz's last-gasp field goal snatched a 34-31 win for the New Orleans Saints over the Carolina Panthers, while Pittsburgh Steelers quarterback Mason Rudolph was benched in a 16-10 success against the Cincinnati Bengals.
There were also victories for the Tampa Bay Buccaneers, Chicago Bears, New York Jets, Cleveland Browns and Washington Redskins.
WENTZ UNABLE TO GET EAGLES SOARING
Eagles signal caller Wentz's critics were out in force again after he was 33 of 45 for 256 yards, with one touchdown.
There were also two interceptions and a couple of lost fumbles for the 26-year-old, who was also reportedly checked out for a hand injury.
Wentz threw a TD pass to Zach Ertz in the final minute, but the damage had already been done.
Seattle running back Rashaad Penny ran for a career-best 129 yards, including a 58-yard touchdown, while MVP contender Russell Wilson was sacked six times but was 13 of 25 for 200 yards, with one TD and one pick.
GORE THE MERRIER
Star running back Gore moved beyond Hall of Famer Sanders' tally of 15,269 yards with a seven-yard dart in the fourth quarter of a victory for the Bills.
Gore made 65 yards in 15 carries and took his career total to an astonishing 15,289 yards.
Buffalo are 8-3 in the AFC East behind the New England Patriots, while the struggling Broncos are 3-8 at the foot of the AFC West.
LUTZ SEALS DRAMATIC SAINTS WIN
Lutz stepped up as time expired to give the Saints a four-game lead over the Panthers at the top of the NFC South
Joey Slye missed a field goal at the other end from 28 yards out with two minutes to play, but Lutz held his nerve with a 33-yard kick.
Two attempts from Christian McCaffrey were in vain as Drew Brees completed 30 of 39 passes for 311 yards and three touchdowns in a captivating contest.
MORE PAIN FOR RUDOLPH
Rudolph was fined $50,000 for his part in an ugly brawl late in a defeat to the Browns last week.
Browns defensive end Myles Garrett ripped off Rudolph's helmet and hit him on the head with it as things got out of hand in Week 11.
Steelers quarterback Rudolph escaped a ban, but he was sidelined during the clash with the sorry Bengals when Devlin Hodges replaced him during the third quarter.
Hodges wasted no time in making an impact, picking out James Washington for a 79-yard catch-and-run touchdown as the Bengals suffered yet another loss to go 0-11.


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Lstsq
| input | (Tensor) the matrix \(B\) |
|---|---|
| A | (Tensor) the \(m\) by \(n\) matrix \(A\) |
| out | (tuple, optional) the optional destination tensor |
The case when \eqn{m < n} is not supported on the GPU.
Computes the solution to the least squares and least norm problems for a full rank matrix \(A\) of size \((m \times n)\) and a matrix \(B\) of size \((m \times k)\).
If \(m \geq n\), torch_lstsq()
solves the least-squares problem:
$$
\begin{array}{ll}
\min_X & \|AX-B\|_2.
\end{array}
$$
If \(m < n\), torch_lstsq()
solves the least-norm problem:
$$ \begin{array}{llll} \min_X & \|X\|_2 & \mbox{subject to} & AX = B. \end{array} $$ Returned tensor \(X\) has shape \((\mbox{max}(m, n) \times k)\). The first \(n\) rows of \(X\) contains the solution. If \(m \geq n\), the residual sum of squares for the solution in each column is given by the sum of squares of elements in the remaining \(m - n\) rows of that column.
# \dontrun{ A = torch_tensor(rbind( c(1,1,1), c(2,3,4), c(3,5,2), c(4,2,5), c(5,4,3) )) B = torch_tensor(rbind( c(-10, -3), c(12, 14), c(14, 12), c(16, 16), c(18, 16) )) out = torch_lstsq(B, A) out[[1]]#> torch_tensor #> 2.0000 1.0000 #> 1.0000 1.0000 #> 1.0000 2.0000 #> 10.9635 4.8501 #> 8.9332 5.2418 #> [ CPUFloatType{5,2} ]# }


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introducing
jmpress.js
a jQuery plugin to build a website on the infinite canvas
next >
a jQuery port of
but with a different goal in mind. Why keep it behind a podium? Let's make websites!
next >
why jQuery?
- great plugin framework that is familiar to a lot of people
- easier to add and maintain features
- wouldn't be surprised if CSS3 transforms/itions are later supported
- Fallback to .animate() when needed
- jQuery UI themes
- easier to implement ajax into slides
- jQuery mobile for adding touch support
So why not?
next >
why not contribute to the
original?
I have contributed and will continue to send pull requests :)
@bartaz has a very specific vision for impress.js which I respect.
Plus I asked him and he said no.
next >
download
Download, clone, submodule or fork on github
next >
contribute
Good news! I accept pull requests ;)
Please work and pull against the dev or beta branch. Thanks!
next >
tests
jmpress.js uses the jasmine bdd library for testing. Please load test.html in your browser to run the tests.
next >
wishlist
- Browser Support (hard but important)
- Better fallback support for older browsers
- Mobile/Touch (use jQuery mobile)
- Integrate an option for jQuery UI theme support
- Simple to use for new users, but flexible for advanded
- Community for plugins
next >


The Down's Link Double is a new ITT (Individual Time Trial), following the Down's Link Bridleway, linking the North Downs near Guildford with the South Downs and the coast near Shoreham. For a record to count, the route is to be followed exactly in a self-supported, ITT format, as per the guidelines over at Self Supported UK.
The route is a straightforward "double" that can be completed in a day, following the Down's Link route from St Martha's Hill, near Guildford, to Shoreham. The vast majority of the route follows a disused railway trail, and is suitable for almost all bikes & riders. The start/finish is nearby to local trains, and the route traverses the picturesque Surrey Hills, Low Weald & South Downs, with little elevation change.
Explore the route


--- layout: default ---
GitHub Pages doesn't support custom Jekyll plug-ins, is this plug-in whitelisted? This is all written in Liquid so need for any whitelisting.
Worried about how weird or ugly a plug-in's CSS may be? These projects only generate semantically sane HTML for you to style.
No need to worry about learning Ruby to edit a plug-in or getting your edits approved. It’s all Liquid, just change whatever HTML you want generated.


Numbers 31:28
And levy a tribute unto the LORD of the men of war which went out to battle: one soul of five hundred, both of the persons, and of the beeves, and of the asses, and of the sheep:


WHAT I DO
Requriement analysis
Functional specification design
Customer support
Code implementation
E2E testing
Technical documentation preparation
Projects & resource planing
WHAT I INTRESTED
Recently read
Recently made


Animezb is an open source usenet indexer for anime & Japanese media related newsgroups.
Animezb is meant to complement Fanzub's service. As Fanzub is currently very slow at indexing new uploads and it make sometimes take hours for a new upload to be indexed.
The various parts that make up Animezb are available on Github — http://github.com/animezb.
As most files are posted minutes after they are uploaded to torrent trackers, Animezb makes an effort to keep an up to date index. Once an article is posted to a newsgroup, it should be available for searching, rss and downloading less than a minute after it is posted.
Animezb currently uses ElasticSearch for searching. The syntax for queries is available here. The available fields for searching are poster, subject, and filename.
Animezb does not actually host any files. For a complete guide on downloading from usenet, check out Fanzub's Usenet Guide.
Open a GitHub isssue or email miyachan [at] animezb.com


DBI/RJDBC interface to h2 database. h2 version 1.3.175 is included.
| Version: | 0.2.4 |
| Depends: | chron, methods, RJDBC, rJava |
| Published: | 2018-03-14 |
| Author: | G. Grothendieck. Author of h2 is Thomas Mueller. |
| Maintainer: | "David M. Kaplan" <dmkaplan2000 at gmail.com> |
| License: | Mozilla Public License 1.1 |
| URL: | https://github.com/dmkaplan2000/RH2.git |
| NeedsCompilation: | no |
| SystemRequirements: | java runtime |
| Materials: | README NEWS INSTALL |
| In views: | Databases |
| CRAN checks: | RH2 results |
| Reference manual: | RH2.pdf |
| Package source: | RH2_0.2.4.tar.gz |
| Windows binaries: | r-devel: RH2_0.2.4.zip, r-release: RH2_0.2.4.zip, r-oldrel: RH2_0.2.4.zip |
| OS X binaries: | r-release: RH2_0.2.4.tgz, r-oldrel: RH2_0.2.4.tgz |
| Old sources: | RH2 archive |
| Reverse suggests: | sqldf |
Please use the canonical form https://CRAN.R-project.org/package=RH2 to link to this page.


{% extends 'intro-to-bibcat/base.html' %} {% block main %}
How to install and use BIBCAT, the bibliographic catalog pull platform, for RDF-based cataloging applications.


{# approve/approve.html #} {% extends "approve/base.html" %} {% block point %}
Video approved.
Shortly (moments, hours or maybe a day) the host website(s) will get updated, meaning it will no longer be in hidden/draft mode, the URL will be tweeted and sent to the event organizer to add to the event website.
{% endblock %}


Meet the Octo-Docs team members and project sponsors responsible for creating CrossDoc. Additional team member information is available by hovering over (or clicking on) a member's picture.


Quantum++
v1.2
A modern C++11 quantum computing library
Class Hierarchy
Go to the textual class hierarchy
Generated on Mon Mar 4 2019 15:38:36 for Quantum++ by
1.8.14


{% extends 'layout-v2.html' %} {% block pageTitle %} NHS.UK prototype kit {% endblock %} {% block content %}
If you typed the web address, check it is correct.
If you pasted the web address, check you copied the entire address.
If the web address is correct or you selected a link or button, contact the someone if you need to speak to someone about something.


Sharks are Awesome because they are brave
Sharks sometimes gets caught in a fishing net
SHARKS is super super Awesome.
SHARKS is Awesome cause they are super cool.
This is a tiger shark.
Tiger sharks are like tigers because tiger sharks have lines on their body.
when i first saw a shark was in a magazine and on sharkweek.
Sharks have many kinds teeth.
Sharks are a cool animal because they are brave.
There are so many kinds of sharks.
Your couch. It is mine.
Im a cool paragraph that lives inside of an even cooler modal. Wins
×Your couch. It is mine.
Im a cool paragraph that lives inside of an even cooler modal. Wins
×


Treat your ears to this week's episode of Hooting Yard On The Air, featuring a bint, a conquistador, a horseman, and not a single nocturnal pig.


84
My Soul Longs for the Courts of the LORD
TO THE CHOIRMASTER: ACCORDING TO THE GITTITH. A PSALM OF THE SONS OF KORAH.
1 How lovely is your dwelling place,
O LORD of hosts!
2 My soul longs, yes, faints
for the courts of the LORD;
my heart and flesh sing for joy
to the living God.
3 Even the sparrow finds a home,
and the swallow a nest for herself,
where she may lay her young,
at your altars, O LORD of hosts,
my King and my God.
4 Blessed are those who dwell in your house,
ever singing your praise!
Selah
5 Blessed are those whose strength is in you,
in whose heart are the highways to Zion.
6 As they go through the Valley of Baca
they make it a place of springs;
the early rain also covers it with pools.
7 They go from strength to strength;
each one appears before God in Zion.
8 O LORD God of hosts, hear my prayer;
give ear, O God of Jacob!

I would rather be a doorkeeper in the house of my God
than dwell in the tents of wickedness.
11 For the LORD God is a sun and shield;
the LORD bestows favor and honor.
No good thing does he withhold
from those who walk uprightly.
12 O LORD of hosts,
blessed is the one who trusts in you!


The following is my GitHub source repository:
"James Redford", GitHub, https://github.com/JamesRedford .
This next item is my curriculum vitæ:
James Redford, "Curriculum Vitæ of James Redford", Jan. 17, 2022, PDF: https://jamesredford.github.io/Redford-Curriculum-Vitae.pdf , source: https://github.com/JamesRedford/writings/tree/master/CurriculumVitaeOfJamesRedford .
Below are some of my scholarly writings, including their LaTeX sources:
James Redford, "The Physics of God and the Quantum Gravity Theory of Everything", Social Science Research Network (SSRN), Sept. 10, 2012 (orig. pub. Dec. 19, 2011), 186 pp., doi:10.2139/ssrn.1974708, PDF: https://jamesredford.github.io/Redford-Physics-of-God.pdf , sources: https://github.com/JamesRedford/writings/tree/master/PhysicsOfGodAndTheQuantumGravityTheoryOfEverything/Redford-Physics-of-God .
James Redford, "Video of Profs. Frank Tipler and Lawrence Krauss's Debate at Caltech: Can Physics Prove God and Christianity?", God and Physics Wiki, May 12, 2019 (orig. pub. Apr. 3, 2013), https://megalodon.jp/2019-0512-1524-14/godandphysics.fandom.com/wiki/Tipler-Krauss_2007_Debate , http://www.freezepage.com/1557642247WROWXLAMHG , https://web.archive.org/web/20190512065553/http://theophysics.freevar.com/Tipler-Krauss_2007_Debate.html , https://archive.is/V9njw .
James Redford, "Jesus Is an Anarchist", Social Science Research Network (SSRN), Dec. 4, 2011 (orig. pub. Dec. 19, 2001), 60 pp., doi:10.2139/ssrn.1337761, PDF: https://jamesredford.github.io/Redford-Jesus-Is-an-Anarchist.pdf , source: https://github.com/JamesRedford/writings/tree/master/JesusIsAnAnarchist .
James Redford, "Libertarian Anarchism Is Apodictically Correct", Social Science Research Network (SSRN), Dec. 15, 2011, 9 pp., doi:10.2139/ssrn.1972733, PDF: https://jamesredford.github.io/Redford-Apodictic-Libertarianism.pdf , source: https://github.com/JamesRedford/writings/tree/master/LibertarianAnarchismIsApodicticallyCorrect .
James Redford, "Societal Sadomasochism", Internet Archive, July 4, 2021 (orig. pub. May 29, 2018), 4 pp., ark:/13960/t2r59ws9q, PDF: https://jamesredford.github.io/Redford-Societal-Sadomasochism.pdf , source: https://github.com/JamesRedford/writings/tree/master/SocietalSadomasochism .


Mixture Density Network¶
The Mixture Density Network (MDN) [BISHOP1994] combines a conventional neural network (in our implementation specified as \(estimator\)) with a mixture density model for modeling conditional probability distributions \(p(t|x)\). Given a sufficiently flexible network and considering a parametric mixture model, the parameters of the distribution \(t\) can be determined by the outputs of the neural network provided the input to the network is \(x\) (in our implementation specified as X_ph (placeholder) and X). This approach therefore constitutes as a framework capable of approximating arbitrary conditional distributions.
The following example develops a model for Gaussian components with isotropic component covariances, while \(K\) being the number of components of a single mixture (our model currently allows to choose an arbitrary number of (global) mixture components, see parameter L below) and \(\pi(x)\) denoting the mixing coefficients:
It is both feasible to replace the components by components of other distributions and extending the MDN to arbitrary covariance matrices. Although the later is generally much more difficult, it has been shown by [TANSEY2016] that, for example one can have the MDN output the lower triangular entries in the Cholesky decomposition.
Using \(x\) as input, the mixing coefficients \(\pi_{k}(x)\), the means \(\mu_{k}(x)\), and the variances \(\sigma_{k}^2(x)\) can be governed by the outputs of neural network. Assuming the mixture model has L mixture components (in our implementation specified as n_centers), the total number of network outputs is given by \((K+2)L\).
The mixing coefficients are computed as a set of \(L\) softmax outputs, where \(a_k^{\pi}\) determine the mixing coefficients emitted by the network:
ensuring the constraint that \(\pi_k(x)\) over \(K\) must sum to 1. Similarly, the variances must me larger or equal to zero. Due to isotropy we have \(L\) kernel widths \(\sigma_k(x)\) which are determined by the network output \(a_k^{\sigma}\) and can be represented as exponentials:
For the \(K \times L\) means we directly use the network outputs: \(\mu_k(x) = a_{kj}^{\sigma}\).
The weights and biases \(w\) of the neural network are learned by minimizing the negative logarithm of the likelihood (maximum likelihood) over \(N\) data points:
This can be executed via the standard backpropagation algorithm, given that suitable expressions for the derivations can be obtained.
-
class
cde.density_estimator.
MixtureDensityNetwork
(name, ndim_x, ndim_y, n_centers=20, hidden_sizes=(16, 16), hidden_nonlinearity=<function tanh>, n_training_epochs=1000, x_noise_std=None, y_noise_std=None, entropy_reg_coef=0.0, weight_normalization=True, data_normalization=True, random_seed=None)[source]¶ Mixture Density Network Estimator
See “Mixture Density networks”, Bishop 1994
Parameters: - name – (str) name space of MDN (should be unique in code, otherwise tensorflow namespace collitions may arise)
- ndim_x – (int) dimensionality of x variable
- ndim_y – (int) dimensionality of y variable
- n_centers – Number of Gaussian mixture components
- hidden_sizes – (tuple of int) sizes of the hidden layers of the neural network
- hidden_nonlinearity – (tf function) nonlinearity of the hidden layers
- n_training_epochs – Number of epochs for training
- x_noise_std – (optional) standard deviation of Gaussian noise over the the training data X -> regularization through noise
- y_noise_std – (optional) standard deviation of Gaussian noise over the the training data Y -> regularization through noise
- entropy_reg_coef – (optional) scalar float coefficient for shannon entropy penalty on the mixture component weight distribution
- weight_normalization – (boolean) whether weight normalization shall be used
- data_normalization – (boolean) whether to normalize the data (X and Y) to exhibit zero-mean and std
- random_seed – (optional) seed (int) of the random number generators used
-
cdf
(X, Y)¶ Predicts the conditional cumulative probability p(Y<=y|X=x). Requires the model to be fitted.
Parameters: - X – numpy array to be conditioned on - shape: (n_samples, n_dim_x)
- Y – numpy array of y targets - shape: (n_samples, n_dim_y)
Returns: conditional cumulative probability p(Y<=y|X=x) - numpy array of shape (n_query_samples, )
-
conditional_value_at_risk
(x_cond, alpha=0.01, n_samples=10000000)¶ Computes the Conditional Value-at-Risk (CVaR) / Expected Shortfall of a GMM. Only if ndim_y = 1
Based on formulas from section 2.3.2 in “Expected shortfall for distributions in finance”, Simon A. Broda, Marc S. Paolella, 2011Parameters: - x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
- alpha – quantile percentage of the distribution
Returns: CVaR values for each x to condition on - numpy array of shape (n_values)
-
covariance
(x_cond, n_samples=None)¶ Covariance of the fitted distribution conditioned on x_cond
Parameters: x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x) Returns: Covariances Cov[y|x] corresponding to x_cond - numpy array of shape (n_values, ndim_y, ndim_y)
-
fit
(X, Y, random_seed=None, verbose=True, eval_set=None, **kwargs)[source]¶ Fits the conditional density model with provided data
Parameters: - X – numpy array to be conditioned on - shape: (n_samples, n_dim_x)
- Y – numpy array of y targets - shape: (n_samples, n_dim_y)
- n_folds – number of cross-validation folds (positive integer)
- verbose – (boolean) controls the verbosity (console output)
-
fit_by_cv
(X, Y, n_folds=3, param_grid=None, random_state=None)¶ Fits the conditional density model with hyperparameter search and cross-validation.
- Determines the best hyperparameter configuration from a pre-defined set using cross-validation. Thereby, the conditional log-likelihood is used for evaluation_runs.
- Fits the model with the previously selected hyperparameter configuration
Parameters: - X – numpy array to be conditioned on - shape: (n_samples, n_dim_x)
- Y – numpy array of y targets - shape: (n_samples, n_dim_y)
- n_folds – number of cross-validation folds (positive integer)
- param_grid –
(optional) a dictionary with the hyperparameters of the model as key and and a list of respective parametrizations as value. The hyperparameter search is performed over the cartesian product of the provided lists.
Example: {“n_centers”: [20, 50, 100, 200],
”center_sampling_method”: [“agglomerative”, “k_means”, “random”], “keep_edges”: [True, False]}
- random_state – (int) seed used by the random number generator for shuffeling the data
-
get_configuration
(deep=True)¶ Get parameter configuration for this estimator.
Parameters: deep – boolean, optional If True, will return the parameters for this estimator and contained subobjects that are estimators. Returns: params - mapping of string to any Parameter names mapped to their values.
-
get_params
(**tags)¶ Get the list of parameters, filtered by the provided tags. Some common tags include ‘regularizable’ and ‘trainable’
-
mean_
(x_cond, n_samples=10000000)¶ Mean of the fitted distribution conditioned on x_cond :param x_cond: different x values to condition on - numpy array of shape (n_values, ndim_x)
Returns: Means E[y|x] corresponding to x_cond - numpy array of shape (n_values, ndim_y)
-
pdf
(X, Y)¶ Predicts the conditional likelihood p(y|x). Requires the model to be fitted.
Parameters: - X – numpy array to be conditioned on - shape: (n_samples, n_dim_x)
- Y – numpy array of y targets - shape: (n_samples, n_dim_y)
Returns: conditional likelihood p(y|x) - numpy array of shape (n_query_samples, )
-
plot2d
(x_cond=[0, 1, 2], ylim=(-8, 8), resolution=100, mode='pdf', show=True, prefix='', numpyfig=False)¶ Generates a 3d surface plot of the fitted conditional distribution if x and y are 1-dimensional each
Parameters: - xlim – 2-tuple specifying the x axis limits
- ylim – 2-tuple specifying the y axis limits
- resolution – integer specifying the resolution of plot
-
plot3d
(xlim=(-5, 5), ylim=(-8, 8), resolution=100, show=False, numpyfig=False)¶ Generates a 3d surface plot of the fitted conditional distribution if x and y are 1-dimensional each
Parameters: - xlim – 2-tuple specifying the x axis limits
- ylim – 2-tuple specifying the y axis limits
- resolution – integer specifying the resolution of plot
-
predict_density
(X, Y=None, resolution=100)¶ Computes conditional density p(y|x) over a predefined grid of y target values
Parameters: - X – values/vectors to be conditioned on - shape: (n_instances, n_dim_x)
- Y – (optional) y values to be evaluated from p(y|x) - if not set, Y will be a grid with with specified resolution
- resolution –
integer specifying the resolution of evaluation_runs grid
- Returns: tuple (P, Y)
- P - density p(y|x) - shape (n_instances, resolution**n_dim_y)
- Y - grid with with specified resolution - shape (resolution**n_dim_y, n_dim_y) or a copy of Y in case it was provided as argument
-
sample
(X)¶ sample from the conditional mixture distributions - requires the model to be fitted
Parameters: X – values to be conditioned on when sampling - numpy array of shape (n_instances, n_dim_x) - Returns: tuple (X, Y)
- X - the values to conditioned on that were provided as argument - numpy array of shape (n_samples, ndim_x)
- Y - conditional samples from the model p(y|x) - numpy array of shape (n_samples, ndim_y)
-
score
(X, Y)¶ Computes the mean conditional log-likelihood of the provided data (X, Y)
Parameters: - X – numpy array to be conditioned on - shape: (n_query_samples, n_dim_x)
- Y – numpy array of y targets - shape: (n_query_samples, n_dim_y)
Returns: negative log likelihood of data
-
set_params
(**params)¶ Set the parameters of this estimator.
The method works on simple estimators as well as on nested objects (such as pipelines). The latter have parameters of the form
<component>__<parameter>
so that it’s possible to update each component of a nested object.Returns: Return type: self
-
tail_risk_measures
(x_cond, alpha=0.01, n_samples=10000000)¶ Computes the Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR)
Parameters: - x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
- alpha – quantile percentage of the distribution
- n_samples – number of samples for monte carlo evaluation
Returns: - VaR values for each x to condition on - numpy array of shape (n_values)
- CVaR values for each x to condition on - numpy array of shape (n_values)
-
value_at_risk
(x_cond, alpha=0.01, n_samples=10000000)¶ Computes the Value-at-Risk (VaR) of the fitted distribution. Only if ndim_y = 1
Parameters: - x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
- alpha – quantile percentage of the distribution
Returns: VaR values for each x to condition on - numpy array of shape (n_values)
| [BISHOP1994] | Bishop (1994). Mixture Density Networks, Technical Report, Aston University (http://publications.aston.ac.uk/373/) |
| [TANSEY2016] | Tansey et al. (2016). Better Conditional Density Estimation for Neural Networks (https://arxiv.org/abs/1606.02321) |


this website is Online shop for buying Hyundai Cars .
this website is located in manila and for the whole philippens
We want to provide online wibsite for our dear costumers who are not aware of our latest cars and the improves .
from YEMEN
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How To
We're going to explore the Riot Games API which exposes a small variety of information about their game, League of Legends. The API loosely follows the RESTful philosophy, that is to say that interactions with the server are stateless and all requests to the API are performed by GETing some specific URL with parameters specified both as request parameters and as portions of the URL itself.
The first step is to make an account. This is necessary because one of the parameters to each API request is an API key which is unique to your account. This allows Riot to track usage and limit requests to a certain number per time interval, which as of writing is 10 requests per 10 seconds.
From here, it is a matter of deciding what you want to do with the API. The full API reference gives all of the information necessary to put together some very complex applications and the information exposed keeps growing. For this guide, we will focus on the steps necessary to create a basic match history with detailed statistics about a given match.


Osteosarcomas are the most frequent form of bone cancer, as illustrated by the chart above. Before discussing this form of cancer in detail, it is essential to understand the implications of this cancer in regard to specifically being located in the skeletal system. It is pretty apparent to most people what the skeletal system does for the body: protection and support. The only reason why the body is able to move the way it is is due to the joints and bones located all over the body.
The fact that bones are located everywhere on the body is what makes this form of cancer so dangerous. Osteosarcomas can technically occur anyplace where a bone exists, but most commonly forms near the lower thigh (femur), shin bone (tibia), and the upper arm (humerus). The exact causes of bone cancer are unknown, but it is known that genetics play a key factor in the transmission of this disease.
Symptoms of bone cancer vary, depending on the location and size of the tumor. The most common ones include intense pain at tumor site, rare bone fractures, breathing issues, and unexplained weight loss.
Ewing Tumors account for over 30% of all bone cancer cases. They usually form in the same spots as osteosarcomas, with two exceptions. They can form in the cavities of the leg and arm bones, and can also form in soft tissues of the body near bones.
Ewing Tumors are a bit different than Osteosarcomas, because they form from primitive cells, the oldest cells in the body. This doesnt mean they are treated differently: Ewing tumors still contain the same DNA abnormailities, and respond to all methods of treatment the same way other cancerous cells do.
As of now, there are no environmental factors that contribute to the development of Ewing Tumors. The only way to protect someone against this disease is to make sure that the person is diagnosed as soon as possible
Chondrosarcomas are different than the other forms of bone cancer in one very specific way. Instead of infecting hard bones, Chondrosarcomas actually go for the cartilage in the body. They can still form in the hips, ribs and arm bones, but the key difference is that they can attack places with cartilage.
Because of the fact that this type of Bone Cancer can affect cartilage, symptoms are the same as osteosarcomas, but with the addition of olfactory (smell) and auditory (hearing) loss, because those two areas are made up of mostly cartilage.
Once a patient is diagnosed with any form of Thyroid Cancer, the best doctors and other medical staff work with the patient to create the best possible treatment plan. The oncologist is a general cancer doctor that establishes the optimal treatment plan for the patient. The nuclear medicine doctor is a doctor who specializes in applying radioactive substances to diagnose and treat various thyroid carcinomas. Lastly, the Orthopedist is a doctor who specializes in treatment of the joints, muscles, ligaments, and skeletal system.
Depending on the type and stage of the cancer and other factors, treatment options for bone cancer can include: Surgery, radiation therapy (proton therapy), laser therapy, chemotherapy, and certain types of targeted therapy. Sometimes, more than one of type of treatment might be used. In choosing which treatment plan is best for the patient, some important factors to consider include the location and stage of the cancer, the patient's overall health, the chances of curing the disease, and the possible impact of the treatment on the bones.
This new development in the bone cancer treatment industry refferred to as Proton Therapy offers an alternative to complete surgery, where the bone in question simply cannot be removed or shifted.
In terms of bone cancer, proton therapy is especially revolutionary because it concentrates a beam of focused protons at the diseased section of the bone. It provides enough radiation to kill the cancerous cells, while sparing the surrounding cells.
This type of treatment is such a huge breakthrough in modern science, especially when considered that it is considered a form of radiation, without all the negatives consequences.
Myeloablative Therapy Is one of the most interesting treatment types that have been invented in the past couple of years. This type of treatment uses strong forms of chemotherapy to attack cancerous cells, especially when spread throughout the body.
This form of cancer is unique because it utilizes a new form of treatment that has been becoming more popular over the past couple of years: stem cells. Traditionally, concentrated chemotherapy would cause the marrow in the bones to be destroyed. Unfortunately during this treatment they are. However, this specific form of therpay actually enables stems cells to come in, replace the bone marrow that was damaged or destroyed, giving a foundation for the patient, while still keeping the other healthy cells alive.
This is only scratching the surface of what modern science has brought the world in terms of treatment options, and we hope that you are able to further this process as well, until we finally crack the case of 100% cancer treatment.
The Bone Cancer Research Trust is a foundation dedicated to stop the spread of Bone Cancer, and prevent it from limiting people from achieving their dreams. They began in 2006, and aim to provide support for research of bone cancers, raising awareness, providing information, and giving support to the patients already inflicted with bone cancer.
The BCRT has funded 35 peer-reviewed research projects since 2006, totalling £1,392,731, which equates to roughly $2,114,792. This massive sum of money has all gone towards the betterment of lives of people with bone cancer, and providing research in orderto prevent bone cancer from spreading even more. You can help take one step forward in this fight by donating money to their cause. Every dollar brings bone cancer closer to it's demise.
The Sunbeam Foundation is a foundation that works tirelessly to help against the fight against bone cancer that afflicts young children and teenagers, since they are the ones affected most by this terrible disease.
The Sunbeam Foundation, created by songwriter Brad Wolfe to help his dear friend, strives to provide money to fund cutting edge research related to the different forms of bone cancer, in addition to being an all-volunteer corporation.
People like you are the ones who keep foundations like these running.  Take a simple step forward, and contribute to the grand battle against Bone Cancer through te Sunbeam Foundation.
In order to succeed in the fight for life we must join together and connect. Through social media, the sharing of stories, and advancement in research we, together, have the opportunity to beat bone cancer.


TRUE LIES A film review by James Berardinelli Copyright 1994 James Berardinelli
Rating (0 to 10): 8.1
Date Released: 7/15/94 Running Length: 2:20 Rated: R (Language, violence)
Starring: Arnold Schwarzenegger, Jamie Lee Curtis, Tom Arnold, Tia Carrere, Art Malik, Bill Paxton, Eliza Dushku, Grant Heslov Director: James Cameron Producers: James Cameron and Stephenie Austin Screenplay: James Cameron Cinematography: Russell Carpenter Music: Brad Fiedel Released by 20th Century Fox
A few months ago, when speculation was rampant about who would be the next actor to nab the role of James Bond, Arnold Schwarzenegger's name was bandied about as one of the "long shots." Well, Pierce got the job, not Arnold, but for those who wondered what a muscle-bound Austrian 007 might be like, take a look at TRUE LIES. Only here, the name's Tasker. Harry Tasker.
I have yet to decide whether TRUE LIES is a better comedy or action film. It contains heavy elements of both, and plays them equally well. Unlike such failed attempts as HUDSON HAWK and LAST ACTION HERO, however, TRUE LIES is a big, grandiose movie that has an immense amount of fun while never taking itself too seriously. A slightly shorter running time might have been appreciated (one-hundred forty minutes is too long for even a very good action film), but overall, I don't have many complaints.
In the past, James Cameron has proven himself to be a master of action and suspense. Titles like THE TERMINATOR and ALIENS speak volumes about his talent. His least original film, T2, was still a rollicking good time, if a little limited when it came to a plot. Now, with TRUE LIES, the director has not only reaffirmed his ability to keep viewers on the edge of their seats, but he has shown himself capable of making an audience laugh. One of the best things about TRUE LIES is that it's genuinely funny.
The storyline isn't really all that inventive, although it contains a few original moments. Arnold plays Harry Tasker, a man who leads a double life. At home, with his wife Helen (Jamie Lee Curtis) and daughter Dana (Eliza Dushku), he's a loving--if somewhat meek--husband and father. When he goes off to work, however, he doesn't travel to the sales office where Helen thinks he has a desk.  That includes romancing beautiful-but-deadly women like Juno Skinner (Tia Carrere) and squaring off against "wacko" terrorists like Salim Abu Aziz (Art Malik, in a role far from the one that won him praise in THE JEWEL IN THE CROWN).
The point of TRUE LIES is enjoyment. The plot is a little meatier than that of SPEED, but, until the last forty-five minutes, it doesn't thunder along at nearly the same breakneck pace. In fact, the main "terrorist-blackmailing-the-world" story stays in low gear until the film is ninety minutes along. Until then, a lot of time is spent examining the duplicitous relationship between Harry and Helen. When he suspects her of having an affair with a used car salesman (Bill Paxton), the results are hilarious.
As enjoyable as the Harry/Helen proceedings are, they start to drag. What begins as great comic relief grows tiresome before it gives way to something else. After all, with actors of the limited scope of Schwarzenegger and Curtis, there's little hope of anything dramatic coming out of this part of the movie. Better to move on, which TRUE LIES eventually does.
Tom Arnold is probably not many people's idea of Arnold Schwarzenegger's ideal sidekick (uh oh, I've got too "Arnolds" in this review--how to keep them straight...?). In fact, he many not be anyone's ideal Tonto to the big man's Lone Ranger. Surprisingly, however, his wisecracking character works. Had this been a serious film, Roseanne's hubby would have been hopelessly out-of-place, but amidst all the multi-million dollar foolery, he's at home. Comic relief is his job, and he does it admirably.
There are the requisite spectacular explosions, coupled with an expectedly high body count (more people die in the first fifteen minutes of TRUE LIES than in the whole of SPEED). This is, after all, an Arnold Schwarzenegger motion picture, and certain things are expected. It certainly delivers a lot more than LAST ACTION HERO did.
TRUE LIES is an old-fashioned, high-tech, fun time at the movies. By not trying to "out-DIE HARD" DIE HARD, and relying instead on its own brand of mayhem and humor, this movie has injected some much-needed freshness into a genre that always threatening to turn stale. In combination, SPEED and TRUE LIES deliver a summer one-two punch that will leave viewers squirming with excitement and gasping for breath.
As for Arnold, even though he doesn't say it this time around, we all know that he'll be back...
- James Berardinelli<EMAIL_ADDRESS>.
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rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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--- layout: post title: This Moment date: 2011-11-04 09:47:47.000000000 -04:00 categories: - The Natives - This Moment tags: - Amanda Blake Soule - Amanda Soule - echidna - Native Australian animals - Soulemama - This Moment status: publish type: post published: true meta: aktt_notify_twitter: 'no' _edit_last: '1' dsq_thread_id: '1188560873' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
From Soulemama {this moment} – A Friday ritual. A single photo – no words – capturing a moment from the week. A simple, special, extraordinary moment. A moment I want to pause, savour and remember.
[caption id="attachment_1290" align="aligncenter" width="600" caption="For those who were wondering, this is an echidna. They are native to Australia."][/caption]
I love your moments too. So feel free to leave a link in the comment section for us all to see. Have a beautiful weekend. Jacinta x


Homebrew Launcher (PegaSwitch)
If you like the guide, please consider donating via PayPal.
If you have any issues or problems, please ask on our Discord Server.
While this guide should work, it has not been tested
After 27th April 2018, the <IP_ADDRESS>
and <IP_ADDRESS>
update blocking DNS servers will not work. Please remove these and replace these with the new ones detailed in the guide to continue blocking updates.
This guide will allow you to install the Homebrew Launcher on 2.0.0 to 2.3.0, using PegaSwitch. This will have to be reinstalled upon each reboot, but will remain active until then.
The Homebrew Launcher allows you to run unsigned, user-made software on your Nintendo Switch on versions 3.0.0 and below. If you would like to run homebrew on version 3.0.0, follow this guide.
Make sure to only download homebrew from trusted sources. Running untrusted homebrew could potentially damage your Switch and void your warranty.
If you’d like to read more on the Homebrew Launcher, go to the offical website here.
Downloads
- The latest version of PegaSwitch
- The latest version of node.js
- The latest release of nx-hbmenu
- loader.nsp
Preparations
- Insert your microSD card into your computer
- Copy
loader.nsp
to the root of your microSD card - Extract the contents of the nx-hbmenu
.zip
file to the root of your microSD card - Create a folder called
switch
on the root of your microSD card if it doesn’t already exist
Configuring PegaSwitch
- Extract the PegaSwitch
.zip
file to a folder on your Desktop - Copy
hbmenu.js
to theusefulscripts
folder in your PegaSwitch folder - Install node.js if you haven’t already
- Navigate to the PegaSwitch folder and open your terminal/cmd
- Run
npm install
to install PegaSwitch - Run
node start.js
to start PegaSwitch- You may need to use
sudo
on Linux/macOS
- You may need to use
- Write down the IP address displayed on-screen
- This is usually in the format of
192.168.1.XXX
- This is usually in the format of
Configuring DNS
- Launch the System Settings application
- Scroll down the menu on the left-hand side and select “Internet”
- Select “Internet Settings”
- Select your network
- Scroll down to “DNS Settings”
- Set your DNS Settings to “Manual”
- Set your “Primary DNS” and “Secondary DNS” to the IP Address you got earlier from PegaSwitch
- Save your network settings
Installation
- If it was successful, you will see the message, “Registration is required to use this network”
- Select “Next”
- The PegaSwitch website should load
- PegaSwitch on your computer should show that your device is connected
- Run
evalfile usefulscripts/installFakeNews.js
in your terminal/cmd - Reboot your device
- You should see a PegaSwitch news entry
- Exit PegaSwitch by pressing
Ctrl+C
twice - Run the command
node start.js --webapplet
- Select the PegaSwitch news entry on your device
- Tap to open the “Video”
Installing Homebrew Applications
- Make a new directory on the root of your Switch’s MicroSD Card called
switch/
- Download a homebrew application of your choice from switchbrew, r/SwitchHacks or GBAtemp
- Extract an archive file if it comes with one
- Find the
.nro
file and place it into theswitch/
directory on your MicroSD Card


Below are our results for our data analysis for PGC litter Track data. This data is a collection of individual and group clean-up events throughout the county. We used this data to highlight areas of higher concentrations of illegal trash pick-ups through a heat map of the county. The bottom right is our heatmap analysis, where areas of higher concentration are represented in yellow. Most of trash that was reported was through individual and group clean-ups and were a result of illegal dumping of litter and trash.It is important we are aware of this issue and address it accordingly.
We offer an interactive map to the left of our results for residents of the community to locate areas for proper litter drop-off. Although this map is currently limited, in the future we hope to have a bigger vareity of places people can dump their trash with the option to filter based on the type of trash they have and the distance from their location.


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Detecting Golden ratio from any image using computer vision
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Steps to use
1. Check the directory of the image. -> C:\Users\UserName\Downloads
2. Make sure the image is of type .jpg or .png.
3. Enter the name of the image without type. The software will automatically figure out the type of image.
4. To close the image tab, press the 'Q' key.


- Creating an HTML file
- Creating folders to categorise files
- Linking an HTML and CSS file
- Identity, Values and Strengths Exploration
- Compare CSS concepts to determine the differences
- Explain how and when to use CSS concepts
- Reflected on your learning journey
- Published your findings as a personal blog
- JavaScript and its relationship to HTML and CSS
- Control flow and loops, arrays and objects
- Functions and why they are useful
- The DOM and DevTools
- Discussed your understanding of Emotional Intelligence
- Published that discussion as a personal blog
- Your approach to problem solving.
- Discussed your understanding about Neuroplasticity and Growth Mindset and how it influences
your learning
- Published that discussion as a personal blog
- Reflect on your learning journey into the Core Skills covered in the Foundations curriculum
to date
- Publish your reflections as a personal blog
- Preparing for Bootcamp
sprint5-all games


Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
IN THE HIGH COURT OF PUNJAB AND HARYANA AT CHANDIGARH CWP no.1715 of 2018 (O&M) Date of Decision : 26.03.2018 M/s Crown Milk Specialities Pvt. Ltd. ....Petitioner(s) Versus State of Punjab and others ...Respondent(s)
CORAM : HON'BLE MR.JUSTICE MAHESH GROVER HON'BLE MR JUSTICE RAJBIR SEHRAWAT Present : Mr. Aalok Jagga, Advocate for the petitioner(s) Mr. Sandeep Vermani, Addl. AG, Punjab Ms. Diya Sodhi, Advocate for respondent no.2 Mr. Chetan Mittal, Sr. Advocate with Mr. Vivek Singla and Mr. Lalit Sood, Advocates for respondents no. 3 MAHESH GROVER, J.(ORAL) Learned counsel for respondent no.2 states that the petitioner has shifted over to a high speed boiler which is functioning and is giving satisfactory results.
In view of the above, when petitioner has become compliant, it is liberated from the consequences of the impugned order. However, it is made clear that if the Pollution Control Board finds any violation under the Air (Prevention and Control of Pollution) Act, 1981 it would be at liberty to initiate fresh action against the petitioner. We also make it clear that this is an interim arrangement as the petitioner has to finally shift to CNG boiler, a 1 of 2 ::: Downloaded on - 14-05-2018 14:03:22 ::: CWP no.1715 of 2018 (O&M) 2 change to which he has bound himself to and abide within a period of 3 months i.e by 1st July, 2018.
In view of above, instant petition stands disposed of.
(Mahesh Grover)
Judge
26.03.2018 (Rajbir Sehrawat)
rekha Judge
Whether speaking/reasoned Yes/No
Whether reportable Yes/No
2 of 2
::: Downloaded on - 14-05-2018 14:03:23 :::


--- title: Natural Area Flowers date: 2016-05-03 00:00:00 -06:00 categories: - whats-blooming layout: post blog-banner: whats-blooming-now-spring.jpg post-date: May 03, 2016 post-time: 7:50 AM blog-image: wbn-default.jpg ---
Spring is the best time to take a hike in the Red Butte Garden Natural Area. Flowers can be found blooming from the top to the bottom. Come take a stroll today.
Pale Agoseris Agoseris glauca
Longstalk Springparsley Fruits Cymopterus longipes
Ball Head Water Leaf Hydrophyllum capitatum
Western Water Leaf Hydrophyllum occidentale
Fewflower Pea Lathyrus pauciflorus
Longleaf Phlox Phlox longifolia
Don't forget about the annual Plant Sale fundraiser this Friday and Saturday! Friday is for members only and Saturday is for everyone. Memberships can be purchased at the Plant Sale.


Class PurgeHistoryResult
Class to hold statistics about this execution of purge history.
Inheritance
System.Object
PurgeHistoryResult
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Microsoft.Azure.WebJobs
Assembly: Microsoft.Azure.WebJobs.Extensions.DurableTask.dll
Syntax
[DataContract]
public class PurgeHistoryResult
Constructors
| Improve this Doc View SourcePurgeHistoryResult(Int32)
Constructor for purge history statistics.
Declaration
public PurgeHistoryResult(int instancesDeleted)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Int32 | instancesDeleted | Number of instances deleted. |
Properties
| Improve this Doc View SourceInstancesDeleted
Gets the number of deleted instances.
Declaration
[DataMember(Name = "instancesDeleted")]
public int InstancesDeleted { get; }
Property Value
| Type | Description |
|---|---|
| System.Int32 | The number of deleted instances. |


comfyinvestor is a site created to educate and empower new investors.
we want to make learning to invest straight forward by providing informative guides and helpful research and analysis tools.
a key component of comfyinvestor's philosophy is a belief in numbers and statistics before speculation. the majority of information you will find on comfyinvestor is rooted in data, facts, and analysis.
The comfyinvestor team is a tight-knit unit comprised of 2 dudes named Mike. Both Mikes have over 10 years of investing experience and are passionate researchers of different strategies and concepts of the financial markets.


{{ define "content"}}
Malt is a web application starter template built on Google App Engine/Go(GAE/Go).
GAE/Go is very powerful platform, and you can run your application in a minute.
Photo from flickr: Whisky / Joshua RappenekerMalt has a simple content management system, you can use as a corporate site or a blog.
moreWhen you add contents to Malt from CMS, contents are saved to Full-Text-Search Index.
moreJust type "goapp deploy". You do not need to setup web servers, database and so on.
more


| public class | FilePathRule |
| public class | FormatVersionRule |
| public class | FullVersionRule |
| public class | GuidLineRule |
| public class | GuidRule |
| public class | GuidStringRule |
| public class | LanguageGuidStringRule |
| public class | MajorMinorVersionRule |
| public class | MinimumVisualStudioVersionRule |
| public class | ProjectDependencySectionRule |
| public class | ProjectFilePathStringRule |
| public class | ProjectGuidStringRule |
| public class | ProjectHeaderRule |
| public class | ProjectNameStringRule |
| public class | ProjectRule |
| public class | ProjectSectionRule |
| public class | ProjectsRule |
| public class | SolutionHeaderRule |
| public class | SolutionRule |
| public class | VisualStudioVersionRule |
| public | SolutionGrammar() |
| public | SolutionGrammar(ParsingDomain* parsingDomain) |
| public override void | CreateRules() |
| public override void | GetReferencedGrammars() |
| public Solution* | Parse(const uchar* start, const uchar* end, int fileIndex, const String<char>& fileName) |


Report An Issue
Use the form below to notify the City of community issues, such as potholes, graffiti, malfunctioning street lights, and more. When you submit your reports or comment to the City it will be sent to the appropriate department. Choose a category to get started!
You may also send an e-mail directly to<EMAIL_ADDRESS>call the City at<PHONE_NUMBER>, or view other ways to contact the City of Bloomington.
PLEASE NOTE: This system is not for reporting emergencies or imminent safety hazards.
If this is an emergency, please immediately dial 911 for assistance. Examples of an emergency include if you see a crime in progress, a fire, someone is experiencing a serious health issue or you witness a traffic accident.
If this is a safety hazard that could cause an injury, please immediately call City Utilities Control at<PHONE_NUMBER>. This number is staffed 24 hours a day. The appropriate staff will be dispatched to address the safety hazard. Examples of this could include a fallen branch blocking a road, downed power line, or a displaced manhole cover.
When in doubt, please call, even if you are not sure. Staff will be happy to assist you!


StherFix helps to Create personalized booking experiences for Dental Check-Up,people can book from multiple channels. It allows customers sync appointments to their calendar
| Day | Hours |
|---|---|
| SUNDAY | DAY OFF |
| MONDAY | 8AM-6PM |
| TUESDAY | 8AM-6PM |
| WEDNESSDAY | 8AM-6PM |
| THURSDAY | 8AM-6PM |
| FRIDAY | 8AM-3PM |
| SATURDAY | DAY OFF |
Fill In All Your Details Correctly


I am Azme Bengraine a Computer Science Student, and an espiering Software Engineer.
Since the age of 16 and, like most nerds. I wanted to make my own game and that's what started a life long lasting passion for all Techonolgy
Creative Commen Licence.


public class DiskOrderedCursor extends java.lang.Object implements ForwardCursor
Database.openCursor(DiskOrderedCursorConfig)
method or the Environment.openDiskOrderedCursor(Database[], DiskOrderedCursorConfig)
method.
WARNING: After opening a DiskOrderedCursor, deletion of log files
by the JE log cleaner will be disabled until close()
is called. To
prevent unbounded growth of disk usage, be sure to call close()
to
re-enable log file deletion.
Optional configurations: the following options are available to tune the DiskOrderedCursor.
The DiskOrderedCursor creates a background producer thread which prefetches
some target records and inserts them in a queue for use by the cursor. The
parameter EnvironmentConfig.DOS_PRODUCER_QUEUE_TIMEOUT
applies to
this background thread, and controls the timeout which governs the blocking
queue.
See DiskOrderedCursorConfig
for additional options.
The consistency guarantees provided by a DiskOrderedCursor are, at best, the
same as those provided by READ_UNCOMMITTED (see LockMode
). With
READ_UNCOMMITTED, changes made by all transactions, including uncommitted
transactions, may be returned by the scan. Also, a record returned by the
scan is not locked, and may be modified or deleted by the application after
it is returned, including modification or deletion of the record at the
cursor position.
In other words, the records returned by the scan correspond to the state of the database (as if READ_UNCOMMITTED were used) at the beginning of the scan plus some, but not all, changes made by the application after the start of the scan. The user should not rely on the scan returning any changes made after the start of the scan. For example, if the record referred to by the DiskOrderedCursor is deleted after the DiskOrderedCursor is positioned at that record, getCurrent() will still return the key and value of that record and OperationStatus.SUCCESS. If a transactionally correct data set is required (as defined by READ_COMMITTED), the application must ensure that all transactions that write to the database are committed before the beginning of the scan. During the scan, no records in the database of the scan may be inserted, deleted, or modified. While this is possible, it is not the expected use case for a DiskOrderedCursor.
The internal algorithm used to approximate disk ordered reads is as follows.
For simplicity, the algorithm description assumes that a single database is
being scanned, but the algorithm is almost the same when multiple databases
are involved.
An internal producer thread is used to scan the database. This thread is
created and started when the DiskOrderedCursor
is created, and is
destroyed by close()
. Scanning consists of two
phases. In phase I the in-cache Btree of the scanned database is traversed
in key order. The LSNs (physical record addresses) of the data to be
fetched are accumulated in a memory buffer. Btree latches are held during
the traversal, but only for short durations. In phase II the accumulated
LSNs are sorted into disk order, fetched one at a time in that order, and
the fetched data is added to a blocking queue. The getNext
method
in this class removes the next entry from the queue. This approach allows
concurrent access to the Database during both phases of the scan, including
access by the application's consumer thread (the thread calling getNext
).
Phase I does not always process the entire Btree. During phase I if the
accumulation of LSNs causes the internal memory limit
or
LSN batch size
to be
exceeded, phase I is ended and phase II begins. In this case, after phase
II finishes, phase I resumes where it left off in the Btree traversal.
Phase I and II are repeated until the entire database is scanned.
By default, the internal memory limit and LSN batch size are unbounded (see
DiskOrderedCursorConfig
). For a database with a large number of
records, this could cause an OutOfMemoryError
. Therefore, it is
strongly recommended that either the internal memory limit or LSN batch size
is configured to limit the use of memory during the scan. On the other
hand, the efficiency of the scan is proportional to the amount of memory
used. If enough memory is available, the ideal case would be that the
database is scanned in in a single iteration of phase I and II. The more
iterations, the more random IO will occur.
Another factor is the queue
size
. During the phase I Btree traversal, data that is resident in the JE
cache will be added to the queue immediately, rather than waiting until
phase II and fetching it, but only if the queue is not full. Therefore,
increasing the size of the queue can avoid fetching data that is resident in
the JE cache. Also, increasing the queue size can improve parallelism of
the work done by the producer and consumer threads.
Also note that a keys-only
scan
is much more efficient than the default keys-and-data scan. With a
keys-only scan, only the BINs (bottom internal nodes) of the Btree need to
be fetched; the LNs (leaf nodes) do not. This is also true of databases
configured for duplicates
, even
for a keys-and-data scan, since internally the key and data are both
contained in the BIN.
| Modifier and Type | Method and Description |
|---|---|
void |
close()
Discards the cursor.
|
OperationResult |
get(DatabaseEntry key,
DatabaseEntry data,
Get getType,
ReadOptions options)
Moves the cursor to a record according to the specified
Get
type. |
DiskOrderedCursorConfig |
getConfig()
Returns this cursor's configuration.
|
OperationStatus |
getCurrent(DatabaseEntry key,
DatabaseEntry data,
LockMode lockMode)
Returns the key/data pair to which the cursor refers.
|
Database |
getDatabase()
Returns the Database handle for the database that contains the
latest record returned by getNext().
|
OperationStatus |
getNext(DatabaseEntry key,
DatabaseEntry data,
LockMode lockMode)
Moves the cursor to the next key/data pair and returns that pair.
|
public Database getDatabase()
getDatabase
in interface ForwardCursor
public void close() throws DatabaseException
The cursor handle may not be used again after this method has been called, regardless of the method's success or failure.
WARNING: To guard against memory leaks, the application should discard all references to the closed handle. While BDB makes an effort to discard references from closed objects to the allocated memory for an environment, this behavior is not guaranteed. The safe course of action for an application is to discard all references to closed BDB objects.
close
in interface ForwardCursor
close
in interface java.io.Closeable
close
in interface java.lang.AutoCloseable
EnvironmentFailureException
- if an unexpected, internal or
environment-wide failure occurs.DatabaseException
public OperationResult get(DatabaseEntry key, DatabaseEntry data, Get getType, ReadOptions options)
ForwardCursor
Get
type.get
in interface ForwardCursor
options
- the ReadOptions, or null to use default options.
For DiskOrderedCursors, ReadOptions.getLockMode()
must return
null, LockMode.DEFAULT
or
LockMode.READ_UNCOMMITTED
, and no locking
is performed.key
- the key returned as
output.data
- the data returned as
output.getType
- is Get.NEXT
or Get.CURRENT
.
interface. Get.CURRENT
is permitted only if the cursor is
initialized (positioned on a record).public OperationStatus getCurrent(DatabaseEntry key, DatabaseEntry data, LockMode lockMode)
ForwardCursor
Calling this method is equivalent to calling ForwardCursor.get(DatabaseEntry, DatabaseEntry, Get, ReadOptions)
with
Get.CURRENT
.
getCurrent
in interface ForwardCursor
lockMode
- the locking attributes. For DiskOrderedCursors this
parameter must be either null, LockMode.DEFAULT
or LockMode.READ_UNCOMMITTED
, and no locking
is performed.key
- the key returned as
output.data
- the data returned as
output.OperationStatus.KEYEMPTY
if there are no more records in the
DiskOrderedCursor set, otherwise, OperationStatus.SUCCESS
. If
the record referred to by a DiskOrderedCursor is deleted after the
ForwardCursor is positioned at that record, getCurrent() will still
return the key and value of that record and OperationStatus.SUCCESS.public OperationStatus getNext(DatabaseEntry key, DatabaseEntry data, LockMode lockMode)
ForwardCursor
Calling this method is equivalent to calling ForwardCursor.get(DatabaseEntry, DatabaseEntry, Get, ReadOptions)
with
Get.NEXT
.
getNext
in interface ForwardCursor
lockMode
- the locking attributes. For DiskOrderedCursors this
parameter must be either null, LockMode.DEFAULT
or LockMode.READ_UNCOMMITTED
, and no locking
is performed.key
- the key returned as
output.data
- the data returned as
output.OperationStatus.NOTFOUND
if no matching key/data pair is found;
otherwise, OperationStatus.SUCCESS
.public DiskOrderedCursorConfig getConfig()
This may differ from the configuration used to open this object if the cursor existed previously.
Copyright (c) 2002, 2017 Oracle and/or its affiliates. All rights reserved.


Leap Year
Square Phrase
Pig Latin
Enter a year:
Show me leap years
Enter a phrase:
Print in console
Enter a phrase:
To pig latin
To english
Translate


{{#account}}
{{#error_code}}
Error
Blot cannot sync the folder for {{blog.title}}. You can probably fix this by reconnecting to Dropbox. If you can't fix this, please contact support.
{{/error_code}}
{{^error_code}}
Dropbox synchronizes the folder for {{blog.title}}. You can switch to a different client seamlessly.


Notebooks
Story: The monster ||khwai-hemm’s speech to the Mantis and the Mantis's reply
The monster ||khwai-hemm’s speech to the Mantis and the Mantis's reply
Title
The monster ||khwai-hemm’s speech to the Mantis and the Mantis's reply
Collection
Summary
The monster ||khwai-hemm's speech and |kaggen's (the Mantis's) reply, in which |kaggen speaks of the monster devouring |kaggen's things and the Porcupine's things, without waiting for the food that |kaggen will give him.
Comments
1) See also The Mantis takes away the Tick's sheep (including Porcupine's speech concerning the coming of ||khwai-hemm), 2) This story is found in Book II-34
Contributors
Date
August 1873
Categories
Keywords
|kaggen (the Mantis) , |kaggen (his speech or reply to the monster ||khwai-hemm) , |kaggen (||khwai-hemm's speech to) , speech (the monster ||khwai-hemm's to |kaggen) , speech (|kaggen's reply to ||khwai-hemm) , ||khwai-hemm (||khwai-khemm) , ||khwai-hemm (his speech to |kaggen) , ||khwai-hemm (devours |kaggen's things) , ||khwai-hemm (|kaggen's reply to) , ||khwai-hemm (the monster) , monster (||khwai-hemm's speech to |kaggen and |kaggen's reply) , things (|kaggen's devoured by ||khwai-hemm) , things (the Porcupine's devoured by ||khwai-hemm) , things (||khwai-hemm's speech to |kaggen and |kaggen's reply)
Story Pages
3118v & 3119v


A Hackathon site. Used Firebase. Technologies : Firebase, Bulma, VanillaJS Timescale : 3 Days
An E-learning site. Used HTML5 Video for the video player. Technologies : Bulma, VanillaJS Timescale : 1 Day (Was built in a hackathon)
My music blog. Technologies : Vue, Vuepress, Surge Timescale : 1 Day


{% extends 'bootstrap/base.html'%} {% include 'navbar/navbar.html' %} {% block content %}
Trust me, heres stuff you want to read
Im sorry, this is the end of our journey.JUST KIDDING!!!! theres lots and lots of stuff coming.This is just the begining!
More stories will be updated soon,if youd like to share, create an account and post your stuff! as easy as that!
Dont forget to subscribe,and leave a comment!


From:Stark Cindy To:Geaccone Tracy Sent:2017-01-11T04:37:04.0000000Z Subject:BUSINESS REVIEWS IN EUROPE END OF 1ST QUARTER, 2002
Good morning, Tracy!
Stan wants us to look at the week of May 6, 2002, to travel to Europe and meet with Colin's team(s) and Adam's team(s). See if we can hit all the necessary sites within that one week time span.
I'll await to hear back from you.
Thanks!
Cindy Stark
Executive Assistant to Stan Horton
Tel: 713/853-6197
Fax: 713/345-7047
<EMAIL_ADDRESS>***********
EDRM Enron Email Data Set has been produced in EML, PST and NSF format by ZL Technologies, Inc. This Data Set is licensed under a Creative Commons Attribution 3.0 United States License <http://creativecommons.org/licenses/by/3.0/us/> . To provide attribution, please cite to "ZL Technologies, Inc. (http://www.zlti.com)."
***********
California


Brianna Fredeluces is a third year Cognitive Science major with a Specialization in Design and Interaction at UC San Diego.
Waiting in Line
Needfinding
Prototyping
Heuristic Evaluation
Visualization
Social design
Gestural interaction
Design tools


{% extends "layout.html" %} {% block page_title %} Registered Traveller {% endblock %} {% block content %} Back Sign out What is your new passport number? Use the number on your passport photo page, include any zeros at the start {% endblock %}
Use the number on your passport photo page, include any zeros at the start


Moe's Retro Eyes
Hi, I'm Moe, welcome to my web page!
Some of my favorite pairs:
- Black cat eyes with clear lens
- Red square with red lens
- Clear cat eyes with clear lens
| Color |
Lense Type |
Shape |
| Black |
Red |
Clear |
| Green |
Orange |
Gray |
Make sure to follow me on Instagram


--- layout: post title: Bookmarks for February 9th from 22:06 to 22:57 tags: - browser - canvas - charts - cloud - css - css3 - generator - gradient - inspiration - javascript - knockout.js - menu - nav - page - parallax - performance - ribbon - saucelabs - selector - selenium - stellar.js - testing - tools - transitions - tumble - turn.js status: publish type: post published: true meta: aktt_notify_twitter: 'no' ---
These are my links for February 9th from 22:06 to 22:57:


First click on "Connect" and then you'll see some greeting messages being sent as WS messages
Then click on the "Download file" button; Firefox will prompt you where to save the file and close the WS connection.
The code of this demo is available on github
| Greetings |
|---|


Vietnam POWs ... Return with Honor
By Ross Anthony
Generally, documentaries don't carry well in the movie theater (that goes for the one's I've produced as well). However, "Return with Honor" is an exception.
Beginning with what in hindsight sounds like pipe-dreams, "The clouds open up like fields of cotton ... it's really beautiful," top-gun pilots talk about the joy of flying ... and then the painful reality of being shot down into enemy territory.
"I was taught to escape and evade under a variety of conditions and terrain, and then after I was shot down and ejected to the ground I was able to escape and evade for all of five seconds before I was surrounded by what seemed like a hundred guns." This paraphrase sums up the "capture" segment of "Return with Honor."
>From there the POWs (now 25 years later) recount their experiences in "Heartbreak Hotel" and other prisons deep in Northern Vietnam. In a terribly candid manner and then occasionally moved to tears (or humor), these survivors sit as relaxed as old friends and tell in detail the tragic hardships and bone bending tortures that just needed to be endured. Even at their breaking points, they seem somehow to crawl away with chins up.
The interviews are shot on film and mixed with occasion recreations. Most of the field footage is real -- including images of the prisoners under captivity (from the archives of North Vietnam).
"We weren't allowed to talk, but we had to communicate, so we worked out a tap code. We coughed in code, we raked leaves in code, we swept the floor in code."
Some may see "Return with Honor" as an Air Force propaganda film, and though it may tip in that direction, the genuine testimonials of these "Heroes" transcend political opinion. The filmmakers create a work that progresses with a very sincere intensity resulting in a rare mix of drama and fact. It has all the soul of the Rambo movies, without the acting. Truly inspirational.
Testimonials of Lt. jg. Everett Alvarez, Lt. Cmdr. Bob Shumaker, Lt. Cmdr. John McCain, Cmdr. Jeremiah Denton, Cmdr. James Stockdale, Lt. Col. Robinson Risner, Capt. Douglas Peterson, Maj. Red Cherry, Capt. George McKnight, Maj. Sam Johnson, Lt. Paul Galanti, Lt. Ron Bliss, Lt. Tom McNish, Lt. Cmdr. Richard Stratton, Seaman Douglas Hegdahl, Col. Tom Madison, Lt. Ed Mechenbeir, Lt. Kevin McManus, Lt. John McGrath, Maj. George Day, Sybil Stockdale, Henry Etta Madison, Alice Stratton, Phyliss Galanti, Marlene McGrath, Lorraine Shumaker.
Written/Produced/Directed by: Freida Lee Mock, Terry Sanders with Christine Z. Wiser at An American Film Foundation. Released by Ocean.
Grade..........................A
See Ross Anthony's interview with Terry Sanders and Freida Lee Mock at http://www.rossanthony.com/interviews/returnint.shtml
-- Copyright © 1999 Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.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


public class JsonExporter
extends java.lang.Object
| Constructor and Description |
|---|
JsonExporter() |
| Modifier and Type | Method and Description |
|---|---|
void |
exportItemAsJson(nuix.Item item,
java.io.File exportFilePath)
Exports an item as a JSON representation.
|
boolean |
getIncludeCustomMetadata()
Gets whether item custom metadata will be included in generated JSON
|
boolean |
getIncludeProperties()
Gets whether item metadata properties will be included in generated JSON
|
boolean |
getIncludeTags()
Gets whether items' tags will be included in generated JSON
|
boolean |
getIncludeText()
Gets whether item content text will be included in generated JSON
|
boolean |
getPrettyPrint()
Gets whether JSON will be "pretty printed".
|
boolean |
getSerializeNulls()
Gets whether entries with a null value are included in the generated JSON
|
static java.util.Map<java.lang.String,java.lang.Object> |
mapAddress(nuix.Address address)
Converts a Nuix Address object to a HashMap<String,Object> for JSON serialization.
|
static java.util.List<java.util.Map<java.lang.String,java.lang.Object>> |
mapAddresses(java.util.List<nuix.Address> addresses)
Converts a List of Nuix Address objects to a list of HashMap<String,Object> for JSON serialization.
|
static java.util.Map<java.lang.String,java.lang.Object> |
mapCommunication(nuix.Communication comm)
Converts a Nuix Communication object to a HashMap<String,Object> for JSON serialization.
|
java.util.Map<java.lang.String,java.lang.Object> |
mapItem(nuix.Item item)
Converts a Nuix item into a series of nested Map objects, which later can be easily serialized
into JSON.
|
static java.util.Map<java.lang.String,java.lang.String> |
mapItemType(nuix.ItemType itemType)
Converts a Nuix ItemType object to a HashMap<String,String> for JSON serialization.
|
static java.util.Map<java.lang.String,java.lang.Object> |
mapProperties(java.util.Map<java.lang.String,java.lang.Object> properties)
This method generates a
Map of the properties for an item, organizing properties into
sub-categories based on the data type of their values. |
java.util.Map<java.lang.String,java.lang.Object> |
mapSourceItem(nuix.SourceItem sourceItem)
This method takes a provided SourceItem and generates a series of nested
Map instances
representing the SourceItem and its data. |
void |
setIncludeCustomMetadata(boolean includeCustomMetadata)
Sets whether item custom metadata will be included in generated JSON
|
void |
setIncludeProperties(boolean includeProperties)
Sets whether item metadata properties will be included in generated JSON
|
void |
setIncludeTags(boolean includeTags)
Sets whether items' tags will be included in generated JSON
|
void |
setIncludeText(boolean includeText)
Sets whether item content text will be included in generated JSON
|
void |
setPrettyPrint(boolean prettyPrint)
Sets whether JSON will be "pretty printed".
|
void |
setSerializeNulls(boolean serializeNulls)
Sets whether entries with null value are included in the generated JSON
|
public boolean getIncludeText()
public void setIncludeText(boolean includeText)
includeText
- True if content text should be includedpublic boolean getIncludeProperties()
public void setIncludeProperties(boolean includeProperties)
includeProperties
- True if item metadata properties should be included in generated JSONpublic boolean getIncludeCustomMetadata()
public void setIncludeCustomMetadata(boolean includeCustomMetadata)
includeCustomMetadata
- True if item custom metadata should be included in JSONpublic boolean getIncludeTags()
public void setIncludeTags(boolean includeTags)
includeTags
- True if items' tags should be included in generated JSONpublic boolean getSerializeNulls()
public void setSerializeNulls(boolean serializeNulls)
serializeNulls
- True if entries with null value should be included in generated JSONpublic boolean getPrettyPrint()
public void setPrettyPrint(boolean prettyPrint)
prettyPrint
- True if the output should be "pretty printed"public java.util.Map<java.lang.String,java.lang.Object> mapSourceItem(nuix.SourceItem sourceItem)
Map
instances
representing the SourceItem and its data. The resulting Map
is later used as input
to GSON for serializing to JSON.
In turn the following methods are called by this one: mapItemType(ItemType)
, mapProperties(Map)
,
mapCommunication(Communication)
sourceItem
- Source item to serialize into a Mappublic java.util.Map<java.lang.String,java.lang.Object> mapItem(nuix.Item item)
item
- The item to serialize into a Mappublic void exportItemAsJson(nuix.Item item, java.io.File exportFilePath)
mapItem(Item)
, the result of which is then converted into JSON.item
- The item to serialize into JSONexportFilePath
- File path to write the JSON result to.public static java.util.Map<java.lang.String,java.lang.Object> mapProperties(java.util.Map<java.lang.String,java.lang.Object> properties)
Map
of the properties for an item, organizing properties into
sub-categories based on the data type of their values.properties
- A Nuix item properties map to convertMap
instances with properties categorized by value data typepublic static java.util.Map<java.lang.String,java.lang.String> mapItemType(nuix.ItemType itemType)
itemType
- The Nuix ItemType object to Map-ifypublic static java.util.Map<java.lang.String,java.lang.Object> mapCommunication(nuix.Communication comm)
mapAddresses(List)
.comm
- The Nuix Communication object to Map-ifypublic static java.util.Map<java.lang.String,java.lang.Object> mapAddress(nuix.Address address)
address
- The Nuix Address object to Map-ifypublic static java.util.List<java.util.Map<java.lang.String,java.lang.Object>> mapAddresses(java.util.List<nuix.Address> addresses)
mapAddress(Address)
for each Address object provided.addresses
- The list of Nuix Address objects to Mapify


Psalm 25
A psalm of David.
1 To you, Yahweh, I lift up my life!
2 My God, I trust in you.
Do not let me be humiliated;
do not let my enemies rejoice triumphantly over me.
3 May no one who hopes in you be disgraced
may those who act treacherously without cause be ashamed!
4 Make known to me your ways, Yahweh;
teach me your paths.
5 Guide me into your truth and teach me,
for you are the God of my salvation;
I hope in you all day long.
6 Call to mind, Yahweh, your acts of compassion and of covenant faithfulness;
for they have always existed.
7 Do not think about the sins of my youth or my rebelliousness;
Call me to mind with covenant faithfulness because of your goodness, Yahweh!
8 Yahweh is good and upright;
therefore he teaches sinners the way.
9 He guides the humble with justice,
and he teaches the humble his way.
10 All the paths of Yahweh are made from covenant faithfulness and trustworthiness
to those who keep his covenant and his solemn commands.
11 For your name's sake, Yahweh,
pardon my sin, for it is great.
12 Who is the man who fears Yahweh?
The Lord will instruct him in the way that he should choose.
13 His life will go along in goodness;
and his descendants will inherit the land.
14 The friendship of Yahweh is for those who honor him,
and he makes his covenant known to them.
15 My eyes are always on Yahweh,
for he will free my feet from the net.
16 Turn toward me and have mercy on me;
for I am alone and afflicted.
17 The troubles of my heart are enlarged;
draw me out from my distress!
18 See my affliction and my toils;
forgive all my sins.
19 See my enemies, for they are many;
they hate me with cruel hatred.
20 Protect my life and rescue me;
I will not be humiliated, for I take refuge in you!
21 May integrity and uprightness preserve me,
for I hope in you.
22 Rescue Israel, God,
from all of its troubles!


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species_mix.fit is similar to glm.fit and does all the heavy lifting when it comes to estimating species mix models. If you are unfamilar with how to use glm.fit it is recommended that you use species_mix which is the user friendly wrapper around this function.
species_mix.fit( y, X, W, U, G, S, spp_weights, site_spp_weights, offset, y_is_na, disty, size, powers, control, inits = NULL )
| y | is a matrix generated from model.response containing the species information. The matrix has the dimensions n_sites * n_species. |
|---|---|
| X | is a design matrix for the archetype_formula dimension n_sites * n_covariates. |
| W | is a design matrix for species_formula and will be implemented if species_formula has covariates. |
| U | is a design matrix for all_formula and will be implemented if not NULL. |
| G | is the number of species archetypes that are being estimated. |
| S | is the number of species to be modelled (this will be calculated internally in species_mix()) |
| spp_weights | These are weights on the species logls and are specifically used in the Bayesian Bootstrap. |
| site_spp_weights | These are site and species specific weights. For most distributions these will be the same across all species. But this form is required to correctly estiamte the IPPMs. See species_mix for more details. |
| offset | this is a vector of site specific offsets, this might be something like area sampled at sites. |
| y_is_na | This is a logical matrix used specifically with 'ippm' modelling - don't worry about this, it'll be worked out for you. Yay! |
| disty | the error distribution to used in species_mix estimation. Currently, 'bernoulli', 'poisson', 'ippm' (Poisson point process), 'negative.binomial' and 'guassian' are available - internal conversion of distribution to a integer. |
| size | The size of each of binomial sample at each site. Length should be the number of sites. |
| powers | The power parameters for the Tweedie distribution. |
| control | this is a list of control parameters that alter the specifics of model fitting. |
| inits | This will be a vector of starting values for species_mix (i.e you've fitted a model and want to refit it). |


How many objects are created by this declaration?
String[] array = new String[10];
Each object is created using "new". When creating an array that holds references to objects, all of the slots in the array are initialized to null.


Type Number Event networkRequest Revision Current Public Release (2013.2076) Keywords networkRequest, bytesEstimated
This value indicates the number of bytes expected to be processed by the given request, if known, otherwise it will be -1
.
The meaning of this value depends on the type of progress
indicated for the request.
If "upload"
progress is specified, then this value cooresponds to the size of the request body to be uploaded, if any. A value of 0 indicates no request body.
If "download"
progress is specified, or if no progress is specified, then this value cooresponds to the size of the response body to be downloaded, if any. A value of 0 indicates no response body, and a value of -1 indicates that the response body size is unknown.
Web servers will typically report the expected size of the transfer when sending binary files, and will typically not report the expected size for text files (including HTML documents, XML, JSON, etc), but there are exceptions to this rule.
This byte count represents the number of bytes projected to actually be sent over the wire, and may not coorelate to the final size of the response content. For example, many web servers will compress content before sending, and in those cases the byte count will be of the bytes of compressed content to be sent.
In some cases web servers may provide an "estimate" of the transfer size, which not only may not match the actual content size due to compression (as explained above), but which also may not coorelate as expected to the bytesReceived values. For example, during the "progress"
phase of a request, it is entirely possible that the bytesReceived value will exceed the bytesTotal value. And likewise, it is possible that in the "ended"
phase of a request you may have a bytesReceived value that is either greater than or less than the bytesTotal value.