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Search » All » Medical » Radiology » Ch 2 RAD 150
Ch 2 RAD 150
The Structure of Matter
During the Greek era, scientist believed that all matter was composed of what four substances? earth, water, air and fire
_____ elements have been identified. 118
An _____ is the smallest particle that has all the properties of an element. atom
According to Dalton, an element was composed of ______ atoms that reacted the same way chemically. identical
Mendeleev's work resulted in the: periodic table of elements
J.J Thompson described the atom as a ____ _____. plum pudding
In 1911, _______ described the atom as a dense, positive nucleus surrounded by a cloud of negative electrons. Rutherford
In 1913, ____ described the atom as a miniature solar system. Bohr
The center of an atom is termed the ____. nucleus
Name the three fundamental particles of an atom: neutron, proton and electron
Stable atoms are considered electrically _____. (same number of protons and neutrons) neutral
Because of its size, the atomic particle is expressed in _____. (amu) atomic mass unit
Atoms that have the same number of protons but differ in the number of neutrons are ______. isotopes
______ is the removal or addition of an orbital electron from an atom. Ionization
The _____ _____ distinguishes elements by number of protons contained in the nucleus. atomic number
Protons and neutrons are subdivided into _____ and _____. quarks; gluons
Protons and neutrons are located in the _____. nucleus
Electrons are located in ____ surrounding the nucleus. orbits.
The _____ an orbit is to the nucleus, the stronger the binding energy. closer
What is the max number of electrons that can exist in the O shell? 50 (use the 2n2 formula) (O is the 5th shell)
The formula 2n2 gives you the ____ number of electrons in a shell. maximum
Atoms of various elements combine to form _____; Molecules combine to form ______. molecules; compounds
The value ____ eV is called the ionization potential. 34
Chemical combining characteristics describes how an ____ will bond with other atoms. atom
Abbreviations of elements are called ____. chemical symbols
The number of protons is called the ______. atomic number
Atomic nuclei that have the same atomic mass number but different atomic numbers are ________. isobars
Atoms that have the same number of neutrons but different number of protons are _____. isotones
_____ have the same atomic number and the same atomic mass number. Isomers
In _____ emission, an electron is created and ejected from the nucleus of an isotope. beta
In _____ emission, an isotope emits 2 protons and 2 neutrons, changing chemically and in weight. alpha
The process of a nucleus spontaneously emitting particles and energy and transforming itself into another atom to reach stability is called _____ ____. radioactive decay
3.3 half lives = 1 tenth life
Particulate radiation is associated with ___ and ____ particles and radioactive decay. alpha, beta
The ____ particle range is longer than that for a _____ particle. beta; alpha
X-rays and gamma rays are forms of _______. electromagnetic ionizing radiation
X-rays and gamma rays are often called _____, which travel at the speed of light. photons
Created by: teachable monkeys

redpajama_set_name: RedPajamaCommonCrawl


Bringing Wainwright Back Is Fine, As Long As He Truly Earns A Roster Spot.
The Cardinals and Adam Wainwright are extending their relationship for a while longer, with the beloved veteran agreeing to a one-year contract that's packed with incentives. And this is fine.
This isn't a long-term deal loaded with huge salaries.
The incentives make this is a pay for performance arrangement. If Wainwright can pitch regularly and effectively, then his compensation will increase. If Wainwright breaks down with another injury and isn't viable, there are no payroll repercussions for the Cardinals.
The Cardinals are showing respect to Wainwright by taking a look. The rest is up to him. If he's an asset — as a starter or reliever — that's great. And there's nothing to complain about.
If Wainwright doesn't pitch well or is flat-out bad, then presumably the team would move on.
Of course, there is a potential issue — which is rendered irrelevant if Wainwright pitches with "plus" stuff that can hold up for five, six innings.
If this doesn't work out for Wainwright, then the Cardinals must pivot and do what's best for the team. The nostalgia, sentiment and personal feelings must be put aside. Manager Mike Shildt, pitching coach Mike Maddux, president of baseball operations John Mozeliak and GM Michael Girsch can't let the heart overrule the brain.
But does it make sense to see what Wainwright is capable of doing in spring training and early in the 2019 season?
Yes, it's OK to take a look. Even with all of the red flags in full view.
Wainwright is 37. He's been on the DL six times over the last four seasons, averaging only 17 starts per year since the start of 2017. Elbow miseries limited him to 40.1 innings and eight starts in 2018. He had a 4.84 ERA in four September starts. Over the past two seasons, Wainwright has spent 197 days on the DL and pitched to a 4.95 ERA with only 10 quality starts in 31 assignments.
That profile isn't a source for optimism.
I would have opposed this decision — not that my opinion matters — before I took a closer look at Wainwright's four September starts to close 2018.
There definitely were some positives.
Wainwright's ERA over the four starts was 4.84. That's lousy, right?
On the surface, yes. But his fielding independent ERA in the four starts was a more accurate 3.21.
Small sample and all of that stuff, but Wainwright's strikeout rate in four September starts was 27 percent — well above his career rate of 20.3 percent. And Wainwright hasn't had a strikeout rate over 20 percent since posting a 23% K rate in 2013.
Wainwright's walk rate has been escalating in recent seasons, but he reversed the trend. In the four September starts, his walk rate was 4.3 percent.
That's good pitching. His fastball had more velocity. His curve ball was back in business. His pitches had new life.
It just showed that if Wainwright can stay healthy, he has a chance to help this team in 2019.
But if Wainwright isn't helping this team as a starter or reliever, then the Cardinals can't be be intimidated by Wainwright's popularity and superb skill at working the media to get a good spin out to the public. Wainwright is an outstanding politician in that way.
This team must get back to the postseason in 2019. And the Cardinals can't afford to carry any pitcher — even a future team Hall of Famer — if he isn't doing the job.
And that doesn't include any free-agent signings.
The Cardinals front office is sizing up the pros and the cons of pursuing an expensive free-agent pitcher this offseason. They have a couple of candidates in mind. Hint: Keep an eye on the American League Championship Series.
Wainwright will fit if he's one of the Cardinals' most qualified and deserving options.
But if turns out that Wainwright isn't deserving of a spot on the staff — and the Cardinals stubbornly defer to him, anyway — then they won't be trying their best to win.
Thanks for reading … have a nice weekend.


Umeå is a youthful city with a rich selection of cultural activities and places of entertainment, as well as a beautiful countryside. During several decades Umeå has given the role of culture high priority in its city planning. We have long believed that culture contributes to a creative and growth-promoting social climate.
Umeå´s strength lies in that we are curious and highly motivated to do new things. At the same time we know that we cannot sit back and depend on old traditions. We know that we must work with others, something we do most willingly. In Umeå one finds a cultural climate that is freer than many other places. Many of our cultural activities are of high quality and status. We constantly take on new challenges and dare to walk on thin ice. Often this is successful since we are many who are willing to face a risk.
During 2014 visitors will be pouring into Umeå and they will of course be taken care of in the best possible way. Our desire is to create a special feeling and an atmosphere that the visitors will remember long after they have left Umeå.
The web site visitumea.se can help plan your visit to the Umeå region. It has information about accomodation, activities, restaurants and much more. You can book hotel rooms and different types of adventures. There is also a complete list of all the conference venues in the region.


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10 Best Vampire TV Shows
Abhishek Pandeyar
Vampire movies and TV shows are on the up in the 21st century. The primary target segment for almost every movie genre today is the 18-25 age group; adolescents having the most time to spare and the highest propensity to consume. However, the themes that appeal the most to the teenagers and impending adults are the vampire and the supernatural kind. As such, movies like Twilight, and series like The Vampire Diaries have seen immense success in the previous decade. With more and more such pieces being made every day, we thought it was a good idea to reminisce and prepare a list of top Vampire TV shows running today. You can also find some of these best Vampire shows on Netflix, Hulu, or Amazon Prime.
10. Van Helsing (2016-Present)
Vanessa Helsing, the gorgeous descendant of the great vampire hunter Van Helsing, is resurrected after a five-year coma. She wakes up into a world which is ripe with mayhem and has been taken over by vampires. Vanessa now must ready herself to fulfill her destiny and take up the family mantle to eradicate Earth of the eternal night.
9. Blood Ties (2007)
In Blood Ties, a former police investigator Vicki Nelson who left the force to become a private investigator crosses path with the mysterious Henry Fitzroy. A 470-year-old vampire Henry has his motives in seeking out Vicki's help. The smart and beautiful private investigator, in turn, accepts the companionship of Henry and his former partner and flame Mike, to form an unlikely alliance determined to solve mysterious crimes.
8. Young Dracula (2006-Present)
Dracula is a father now and a responsible one at that. To be up-to-date with the modern world, Dracula moves with his two sons Ingrid and Vlad to Britain. To Dracula's dismay, Vlad gets enchanted by the hot and happening teenage life, and abandons their family customs to fit in with his new friends. Not at all happy with this, Dracula does everything in his immortal power to stop Vlad, which makes a brilliant story full of cheeky comedy.
7. Dracula (2013-2014)
The original Bram Stoker's version twisted a little to suit the modern age; this is the story of Dracula. Starring Jonathan Rhys Meyers, the series follows Dracula imposing as an aristocrat who has come to England to display his American opulence. In reality, Dracula has been revived by Van Helsing to aid him in his fight against the Order of the Dragon, their common enemy. The situation becomes troublesome when the king of vampires falls for Mina Murray, a reincarnation of his long-dead wife.
6. The Originals (2013-Present)
A spinoff of the Vampire Diaries, this one follows the story of the origin of vampires and the extremely-powerful Originals. Being the first humans to be made vampires through magic, the Originals family is right at the top of the food-chain and naturally, have a lot of enemies. In the first season, we see the three main Originals Elijah, Klaus, and Rebekah being forced to return to their favorite city of New Orleans, because of a stupid one-night-stand of Klaus. When Klaus, the Original Hybrid, comes to know about his unborn child, he leaves his animal nature and considers saving the child for his family's redemption. However, there is a witch lurking around the corner, whose power is something the Original family has never encountered before. Will the worst of the worst need to rethink their heinous strategies?
Read More: Vampire Movies
5. True Blood (2008-2014)
After the development of a synthetic version of human blood, vampires no longer have to hide behind the veil of deception. Two years after this Great Revelation, 173-year old vampire Bill Compton (Stephen Moyer) returns to Louisiana. The series follows the story of Sookie Stackhouse (Anna Paquin), a barmaid in that town, her relationship with Bill and the chain of events that resonate across the place after they get together. With subsequent introduction of supernatural characters like werewolves, shapeshifters, witches, fairies, and even maenads the series eventually becomes a full package for anyone interested in the paranormal genre. However, the series primarily revolves around vampires and their jest to gain equal rights in a human-rich world.
4. Buffy the Vampire Slayer (1996–2003)
Dealing with her own personal hell every day, Buffy Summers is the chosen vampire slayer of her generation. Alongwith coping with the mysterious aspect of her life, she also has to deal with the common elements, i.e. her school life and a non-existent love-life. Aided in her efforts by her family and a league of faithful friends, Buffy fights with the demons of her dual life one monster a day.
3. Preacher (2016-Present)
Jesse Custer (Dominic Cooper) a preacher and a man of god living in Texas has slowly lost his faith and is searching for a reason to continue on God's path. Meanwhile, a powerful entity called Genesis, a result of procreation between an angel and demon crosses the galaxy to inhabit the body of Jesse. The Preacher wakes up after three days with a power to make everything he says true. What will faithless Jesse-possessed by an entity as powerful as God himself- do when he is confronted by the truth of this creation?
2. Castlevania (2017-Present)
A twist to the mainstream story of Dracula, Castlevania is an animated version of Konami's hit video game of the same name. It weaves the untold tale of Dracula who unleashes terror upon Transylvania when his wife is killed on false accusations of being a witch by the Church. One year after the incident, Dracula sets lose the army of Hell on every innocent citizen without any bias. The only man who can save their homeland is Trevor Belmont, the last heir of House Belmont which was excommunicated by the church centuries ago. Will Trevor be able to ward off the evil known as Dracula and his vampire pets?
1. The Vampire Diaries (2009-2017)
The Vampire Diaries I reckon is the most popular vampire TV series nowadays. Every other teenager fascinated by the night crawlies seems to be engrossed in this simple yet powerful tale. Brothers Stefan and Damon who look adolescent but are prowlers of the eternal night, return to the city of Virginia where they were first made vampires. Stefan falls in love with Elena, and Damon as always thwarts all his plans. While trying to win the affection of the beautiful Elena, the brothers struggling with their personal differences have to take care of their common enemies.
Read More: Sexiest Vampires
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I had a craving for a home made beef burger but the minced beef at the super market looked rather sad. So I decided to use up the frozen minced pork at home. And it turned out great! Honestly, it was another one of those times where adaptation and invention turned out YuMmmEe!
This entry was posted in BRUNCH ITEMS, MAIN COURSES, MEATS (Butcher's Delights ) and tagged Bacon, caramelized onions, good, hamburger by Whisky Uncle. Bookmark the permalink.


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This Bill replaces the existing Registered Dietitians Act. It defines the practice of dietetics and provides for the regulation of the profession.
creating processes for handling complaints and discipline.
This Bill contains a consequential amendment to The Professional Home Economists Act.


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Q: mixedCor: Misidentification of categorical data for PCA? I am running a series of principal components analyses using the psych package in R. I have a mix of continuous (read discrete), binary, and ordinal variables. See below for a subset of the data comprising 10 continuous (read discrete) variables (c1 to c10) and one dichotomous variable (d):
dput(s)
structure(c(21, 0, 0, 6, 3, 18, 15, 0, 18, 0, 12, 13, 3, 3, 0,
21, 6, 0, 0, 12, 12, 11, 0, 0, 12, 0, 0, 0, 21, 10, 0, 0, 0,
0, 4, 0, 3, 30, 8, 12, 0, 0, 0, 0, 0, 0, 9, 0, 7, 15, 0, 11,
0, 0, 24, 0, 22, 0, 21, 0, 15, 12, 0, 0, 0, 0, 0, 18, 17, 4,
0, 26, 13, 0, 0, 12, 17, 0, 0, 0, 0, 22, 0, 0, 0, 0, 3, 0, 0,
21, 11, 8, 30, 22, 11, 18, 0, 5, 6, 0, 6, 0, 0, 15, 0, 18, 0,
24, 6, 18, 0, 0, 0, 21, 0, 0, 0, 0, 0, 0, 9, 5, 15, 3, 15, 19,
20, 15, 27, 12, 0, 0, 0, 22, 0, 0, 12, 18, 22, 0, 15, 8, 18,
5, 11, 0, 9, 0, 0, 0, 5, 0, 6, 0, 21, 19, 11, 12, 24, 5, 6, 0,
0, 4, 0, 0, 0, 3, 3, 0, 0, 4, 5, 0, 29, 3, 21, 5, 5, 8, 18, 0,
0, 0, 0, 0, 6, 27, 24, 0, 3, 12, 3, 0, 3, 0, 0, 8, 0, 0, 5, 3,
0, 0, 10, 3, 5, 4, 4, 0, 4, 9, 12, 6, 0, 5, 3, 4, 3, 8, 25, 3,
0, 0, 10, 13, 3, 4, 21, 6, 0, 0, 6, 0, 23, 0, 5, 6, 9, 9, 0,
6, 0, 4, 3, 7, 7, 29, 8, 0, 21, 9, 0, 5, 5, 0, 9, 0, 11, 11,
3, 7, 0, 11, 14, 3, 4, 6, 10, 4, 0, 17, 11, 3, 0, 3, 3, 0, 7,
3, 0, 4, 5, 4, 0, 0, 6, 3, 0, 15, 13, 17, 3, 21, 0, 15, 0, 11,
10, 3, 4, 0, 3, 5, 0, 0, 0, 5, 3, 4, 0, 3, 0, 9, 3, 9, 0, 5,
8, 0, 12, 4, 13, 3, 8, 5, 11, 11, 9, 5, 7, 3, 10, 22, 4, 3, 5,
5, 25, 0, 31, 8, 4, 4, 5, 10, 0, 3, 0, 0, 0, 0, 8, 0, 6, 9, 4,
8, 11, 5, 3, 0, 3, 15, 0, 0, 0, 0, 3, 0, 0, 10, 11, 5, 23, 5,
10, 18, 0, 6, 3, 0, 0, 4, 5, 0, 3, 25, 3, 0, 4, 8, 7, 5, 3, 0,
0, 3, 7, 0, 0, 0, 0, 0, 0, 33, 0, 0, 0, 0, 8, 9, 0, 6, 0, 8,
0, 0, 0, 28, 31, 10, 0, 0, 35, 0, 0, 0, 5, 3, 0, 0, 0, 0, 0,
0, 0, 9, 0, NA, 0, 0, 0, 0, 0, 3, 0, 3, 0, 0, 0, 8, 0, 0, 4,
0, 22, 0, NA, 0, 27, NA, 0, 0, 3, 0, 0, 24, 17, 12, 0, 15, 6,
0, 0, 11, 34, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 32, 7, 7,
33, 17, 0, 24, 0, 0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 7, 16, 0,
0, 0, 0, 0, 0, 0, 0, 0, 18, 0, 10, 6, 3, 0, 16, 15, 11, 9, 11,
0, 0, 0, 22, 0, 3, 0, 8, 6, 0, 0, 3, 12, 0, 5, 0, 9, 0, 0, 0,
3, 0, 4, 0, 12, 12, 11, 0, 24, 0, 14, 0, 0, 3, 0, 0, 0, 0, 0,
0, 0, 3, 14, 0, 0, 0, 6, 7, 0, 0, 0, 0, 0, 0, 3, 0, 3, 3, 24,
0, 6, 16, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0,
3, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 6, 6, 3, 0, 0, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, NA, 0, 0, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0,
0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 6, 6, 6, 0, 10, 0, 0,
0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
15, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 6, 3, 6,
0, 0, 3, 3, 3, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 6, 13, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 3, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0,
0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
5, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 0, 0, 0, 6, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0,
0, 0, 0, 0, NA, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7, 0, 6, 0, 9, 0, 0,
0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6, 0,
0, 0, 3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14, 0, 0, 0, 0, 3, 0, 0, 0,
0, 0, 0, 3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15, 0, 0, 0, 0, 0, 0, 0, 0, 0,
9, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 9, 31, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
6, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, NA, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 2, 1, 2, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), .Dim = c(200L,
11L), .Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8",
"9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19",
"20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30",
"31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41",
"42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52",
"53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63",
"64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74",
"75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85",
"86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96",
"97", "98", "99", "100", "101", "102", "103", "104", "105", "106",
"107", "108", "109", "110", "111", "112", "113", "114", "115",
"116", "117", "118", "119", "120", "121", "122", "123", "124",
"125", "126", "127", "128", "129", "130", "131", "132", "133",
"134", "135", "136", "137", "138", "139", "140", "141", "142",
"143", "144", "145", "146", "147", "148", "149", "150", "151",
"152", "153", "154", "155", "156", "157", "158", "159", "160",
"161", "162", "163", "164", "165", "166", "167", "168", "169",
"170", "171", "172", "173", "174", "175", "176", "177", "178",
"179", "180", "181", "182", "183", "184", "185", "186", "187",
"188", "189", "190", "191", "192", "193", "194", "195", "196",
"197", "198", "199", "200"), c("c1", "c2", "c3", "c4", "c5",
"c6", "c7", "c8", "c9", "c10", "d")))

Running:
pca <- principal(s, nfactors = 11, rotate = "none", cor = "mixed"
should compute a heterogeneous correlation matrix; however, the code throws an error, in which it seems to be misidentifying the dichotomous variable (d) as a polytomous variable:
Some polytomous variables have fewer categories than they should.  Please check your data.
Potential bad items are
Error in mixedCor(r, use = use, correct = correct) :
I am stopping because of the problem with polytomous data
Why is the variable being misidentified and how do I rectify the issue?

A: I'm worried you're missing too much data across the correlation matrix, but if you're sure it's misidentification try this...
library(psych)

# Make variable types explicit...

new_s <- mixedCor(s, c=c("c1", "c2", "c3", "c4", "c5", "c6", "c7", "c8", "c9", "c10"), d = "d")

#> Warning in biserialc(x[, j], y[, i], j, i): For x = 7 y = 1 x seems to be
#> dichotomous, not continuous
#> Warning in biserialc(x[, j], y[, i], j, i): For x = 9 y = 1 x seems to be
#> dichotomous, not continuous
#> Warning in biserialc(x[, j], y[, i], j, i): For x = 10 y = 1 x seems to be
#> dichotomous, not continuous

# Feed this new matrix to PCA

principal(new_s$rho, nfactors = 11, rotate = "none", cor = "mixed")
#> Warning in cor.smooth(model): Matrix was not positive definite, smoothing was
#> done
#> Warning in cor.smooth(r): Matrix was not positive definite, smoothing was done
#> Warning in log(det(m.inv.r)): NaNs produced
#> Principal Components Analysis
#> Call: principal(r = new_s$rho, nfactors = 11, rotate = "none", cor = "mixed")
#> Standardized loadings (pattern matrix) based upon correlation matrix
#>      PC1   PC2   PC3   PC4   PC5   PC6   PC7   PC8   PC9  PC10 PC11  h2
#> c1  0.45  0.39  0.64 -0.05  0.30 -0.09 -0.10 -0.33  0.12  0.06    0 1.0
#> c2  0.46  0.47  0.23  0.62 -0.11 -0.12 -0.24  0.20 -0.06  0.00    0 1.0
#> c3  0.55  0.31  0.52 -0.48 -0.04  0.03  0.07  0.27 -0.12 -0.08    0 1.0
#> c4  0.33  0.68 -0.38  0.01  0.22  0.44  0.17  0.02 -0.05  0.16    0 1.0
#> c5  0.56  0.29 -0.07 -0.10 -0.73  0.01  0.08 -0.12  0.16  0.04    0 1.0
#> c6  0.73  0.27 -0.44  0.00  0.23 -0.13  0.08  0.04  0.22 -0.29    0 1.0
#> c7  0.85 -0.19 -0.14  0.06 -0.09  0.24 -0.18 -0.23 -0.27 -0.15    0 1.0
#> c8  0.71  0.06 -0.39 -0.09  0.07 -0.52  0.12 -0.03 -0.17  0.17    0 1.0
#> c9  0.65 -0.44  0.29  0.34  0.04  0.13  0.46  0.04  0.08  0.04    0 1.0
#> c10 0.77 -0.36 -0.17 -0.13  0.09  0.14 -0.39  0.14  0.20  0.16    0 1.0
#> d   1.01 -0.46  0.14 -0.05  0.04  0.00  0.03  0.03 -0.05  0.01    0 1.3
#>           u2 com
#> c1  -2.9e-04 4.0
#> c2  -1.2e-03 4.0
#> c3  -1.5e-02 4.3
#> c4  -9.2e-03 3.5
#> c5  -8.2e-04 2.5
#> c6  -5.1e-05 3.0
#> c7  -2.9e-02 2.0
#> c8  -1.3e-02 2.9
#> c9  -4.9e-02 4.0
#> c10 -3.1e-02 2.7
#> d   -2.6e-01 1.5
#>
#>                        PC1  PC2  PC3  PC4  PC5  PC6  PC7  PC8  PC9 PC10 PC11
#> SS loadings           4.91 1.67 1.38 0.78 0.77 0.60 0.52 0.31 0.26 0.20 0.00
#> Proportion Var        0.45 0.15 0.13 0.07 0.07 0.05 0.05 0.03 0.02 0.02 0.00
#> Cumulative Var        0.45 0.60 0.72 0.80 0.86 0.92 0.97 0.99 1.02 1.04 1.04
#> Proportion Explained  0.43 0.15 0.12 0.07 0.07 0.05 0.05 0.03 0.02 0.02 0.00
#> Cumulative Proportion 0.43 0.58 0.70 0.77 0.83 0.89 0.93 0.96 0.98 1.00 1.00
#>
#> Mean item complexity =  3.1
#> Test of the hypothesis that 11 components are sufficient.
#>
#> The root mean square of the residuals (RMSR) is  0.03
#>
#> Fit based upon off diagonal values = 1

You can only also run a PCA on this data if you move to pairwise which means you can't also have mixed
library(psych)
s <-

cor(s)
#>            c1        c2 c3 c4 c5        c6 c7 c8        c9       c10  d
#> c1  1.0000000 0.4346003 NA NA NA 0.2240019 NA NA 0.2394707 0.1374522 NA
#> c2  0.4346003 1.0000000 NA NA NA 0.3264929 NA NA 0.2507157 0.1502570 NA
#> c3         NA        NA  1 NA NA        NA NA NA        NA        NA NA
#> c4         NA        NA NA  1 NA        NA NA NA        NA        NA NA
#> c5         NA        NA NA NA  1        NA NA NA        NA        NA NA
#> c6  0.2240019 0.3264929 NA NA NA 1.0000000 NA NA 0.2630730 0.5129754 NA
#> c7         NA        NA NA NA NA        NA  1 NA        NA        NA NA
#> c8         NA        NA NA NA NA        NA NA  1        NA        NA NA
#> c9  0.2394707 0.2507157 NA NA NA 0.2630730 NA NA 1.0000000 0.3958641 NA
#> c10 0.1374522 0.1502570 NA NA NA 0.5129754 NA NA 0.3958641 1.0000000 NA
#> d          NA        NA NA NA NA        NA NA NA        NA        NA  1
cor(s, use = "pairwise")
#>            c1         c2        c3          c4        c5        c6        c7
#> c1  1.0000000 0.43460033 0.5944554  0.17820073 0.1585417 0.2240019 0.2133379
#> c2  0.4346003 1.00000000 0.2721470  0.27657740 0.3458928 0.3264929 0.3064696
#> c3  0.5944554 0.27214700 1.0000000  0.22051983 0.3980126 0.2540505 0.2620851
#> c4  0.1782007 0.27657740 0.2205198  1.00000000 0.2582113 0.5332303 0.2655366
#> c5  0.1585417 0.34589275 0.3980126  0.25821130 1.0000000 0.3704633 0.4592527
#> c6  0.2240019 0.32649293 0.2540505  0.53323028 0.3704633 1.0000000 0.5407480
#> c7  0.2133379 0.30646960 0.2620851  0.26553664 0.4592527 0.5407480 1.0000000
#> c8  0.1518731 0.24817433 0.2186919  0.27508923 0.3883494 0.7126438 0.4923743
#> c9  0.2394707 0.25071568 0.2046642 -0.03278746 0.2041263 0.2630730 0.4815600
#> c10 0.1374522 0.15025695 0.2323497  0.11446032 0.2827706 0.5129754 0.6897342
#> d   0.1410538 0.08626762 0.2042181 -0.02416854 0.1309677 0.2039654 0.4720930
#>            c8          c9       c10           d
#> c1  0.1518731  0.23947075 0.1374522  0.14105375
#> c2  0.2481743  0.25071568 0.1502570  0.08626762
#> c3  0.2186919  0.20466424 0.2323497  0.20421810
#> c4  0.2750892 -0.03278746 0.1144603 -0.02416854
#> c5  0.3883494  0.20412633 0.2827706  0.13096770
#> c6  0.7126438  0.26307300 0.5129754  0.20396537
#> c7  0.4923743  0.48155995 0.6897342  0.47209296
#> c8  1.0000000  0.24786725 0.4538082  0.24682472
#> c9  0.2478672  1.00000000 0.3958641  0.48647659
#> c10 0.4538082  0.39586413 1.0000000  0.47158572
#> d   0.2468247  0.48647659 0.4715857  1.00000000
pca <- principal(s, nfactors = 11, rotate = "none", use = "pairwise")
pca
#> Principal Components Analysis
#> Call: principal(r = s, nfactors = 11, rotate = "none", use = "pairwise")
#> Standardized loadings (pattern matrix) based upon correlation matrix
#>      PC1   PC2   PC3   PC4   PC5   PC6   PC7   PC8   PC9  PC10  PC11 h2
#> c1  0.47  0.44  0.59  0.22  0.19 -0.17 -0.09 -0.05 -0.30  0.15  0.04  1
#> c2  0.52  0.41  0.20  0.24 -0.59 -0.04 -0.19  0.22  0.17 -0.05  0.00  1
#> c3  0.54  0.39  0.46 -0.29  0.39  0.01  0.07 -0.02  0.26 -0.18 -0.05  1
#> c4  0.44  0.50 -0.42  0.26  0.14  0.50  0.11 -0.05  0.00 -0.01  0.15  1
#> c5  0.60  0.21 -0.08 -0.67 -0.28  0.11  0.09  0.02 -0.10  0.18  0.02  1
#> c6  0.77  0.11 -0.44  0.19  0.11 -0.15  0.08 -0.05  0.07  0.16 -0.30  1
#> c7  0.81 -0.28 -0.08 -0.06 -0.07  0.15 -0.23 -0.12 -0.25 -0.29 -0.11  1
#> c8  0.70 -0.03 -0.39 -0.01  0.07 -0.47  0.21  0.16 -0.06 -0.14  0.19  1
#> c9  0.56 -0.41  0.37  0.17 -0.27  0.03  0.37 -0.37  0.07  0.02  0.05  1
#> c10 0.71 -0.43 -0.09 -0.03  0.16 -0.03 -0.43 -0.12  0.18  0.16  0.15  1
#> d   0.51 -0.56  0.29  0.09  0.14  0.25  0.14  0.47 -0.03  0.07 -0.03  1
#>           u2 com
#> c1  -1.1e-15 4.6
#> c2  -4.4e-15 4.3
#> c3  -3.6e-15 5.3
#> c4   3.4e-15 5.0
#> c5   6.0e-15 3.0
#> c6   2.4e-15 2.5
#> c7   1.9e-15 2.2
#> c8   1.3e-15 3.1
#> c9  -4.4e-16 5.3
#> c10  1.0e-15 3.1
#> d    2.3e-15 4.4
#>
#>                        PC1  PC2  PC3  PC4  PC5  PC6  PC7  PC8  PC9 PC10 PC11
#> SS loadings           4.15 1.58 1.36 0.78 0.77 0.63 0.52 0.47 0.31 0.25 0.19
#> Proportion Var        0.38 0.14 0.12 0.07 0.07 0.06 0.05 0.04 0.03 0.02 0.02
#> Cumulative Var        0.38 0.52 0.64 0.71 0.79 0.84 0.89 0.93 0.96 0.98 1.00
#> Proportion Explained  0.38 0.14 0.12 0.07 0.07 0.06 0.05 0.04 0.03 0.02 0.02
#> Cumulative Proportion 0.38 0.52 0.64 0.71 0.79 0.84 0.89 0.93 0.96 0.98 1.00
#>
#> Mean item complexity =  3.9
#> Test of the hypothesis that 11 components are sufficient.
#>
#> The root mean square of the residuals (RMSR) is  0
#>  with the empirical chi square  0  with prob <  NA
#>
#> Fit based upon off diagonal values = 1
principal(s, nfactors = 11, rotate = "none", use = "pairwise", cor = "mixed")
#>
#>  Some polytomous variables have fewer categories than they should.  Please check your data.
#> Potential bad items are
#> Error in mixedCor(r, use = use, correct = correct):
#> I am stopping because of the problem with polytomous data

redpajama_set_name: RedPajamaStackExchange


text:
Quiroma är en ort i Mexiko.   Den ligger i kommunen Cuautitlán de García Barragán och delstaten Jalisco, i den södra delen av landet,  km väster om huvudstaden Mexico City. Quiroma ligger  meter över havet och antalet invånare är .

Terrängen runt Quiroma är kuperad söderut, men norrut är den bergig. Den högsta punkten i närheten är  meter över havet,  km nordväst om Quiroma. Runt Quiroma är det glesbefolkat, med  invånare per kvadratkilometer. Närmaste större samhälle är Minatitlán,  km sydost om Quiroma. I omgivningarna runt Quiroma växer i huvudsak lövfällande lövskog.

Savannklimat råder i trakten. Årsmedeltemperaturen i trakten är  °C. Den varmaste månaden är april, då medeltemperaturen är  °C, och den kallaste är augusti, med  °C. Genomsnittlig årsnederbörd är  millimeter. Den regnigaste månaden är september, med i genomsnitt  mm nederbörd, och den torraste är mars, med  mm nederbörd.

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redpajama_set_name: RedPajamaWikipedia


text:
The Second Relief of Gibraltar – 12 April 1781
by Richard Hiscocks | May 25, 2017 | 1781, American Revolutionary War 1776-1783 | 0 comments
Following Admiral Sir George Rodney?s relief of Gibraltar in January 1780, the rock fortress had successfully withstood the Spanish siege for the remainder of that year. By the beginning of 1781 however it was in desperate need of replenishment, and the Admiralty decided that the Channel Fleet under the quiet but confident command of Vice-Admiral George Darby should be sent out with supplies.
Ever since Admiral Hon. Augustus Keppel had hauled down his flag out of a reluctance to serve the incumbent Board of Admiralty, the command of the grand fleet in the Channel had resided with largely unremarkable officers of whom Darby, previously out of employment for nearly twenty years, was one. Recalled to the colours as a subordinate admiral in 1779, he had assumed the command of the fleet in August 1780 after the brilliant but awkward Vice-Admiral Hon. Samuel Barrington had refused to take over from the sickly and ancient Admiral Francis Geary.
Vice-Admiral George Darby
On 13 March Darby, flying his flag aboard the Britannia 100, departed St. Helens with a fleet of twenty-nine sail of the line, having not only the Gibraltar convoy but also the East and West Indian trade in his charge. Also attached to this armada was Commodore George Johnstone?s Cape-bound expedition. Darby?s instructions were to make for Cork and collect some further victaulling vessels before proceeding to Gibraltar. He was advised that at any time he could expect to be challenged by the French fleet at Brest, by their West Indian-bound fleet of twenty sail of the line, or by the Spanish fleet of twenty-five sail of the line harboured at Cadiz. His departure from home waters also left the Channel open to a potential attack from any or all of these fleets, yet such was the importance to Britain of Gibraltar that the government was prepared to accept these risks.
Arriving at Cork on 17 March, Darby encountered contrary winds that not only kept the Irish victuallers port-bound but also facilitated the departure of the French West Indian fleet from Brest. Commanded by Admiral Fran?ois Joseph Paul, the Comte de Grasse, this force initially sailed in company with five sail of the line under the command of Captain Pierre Andr? de Suffren which would part company for the East Indies and enjoy a number of battles there against the British East Indian fleet. The combined French force would have been more than a match for Darby, although conversely the interception of either division would have saved the British much trouble later on. Even so, the relief of Gibraltar remained paramount, and no attempt was made to hunt down either de Grasse or Suffren.
On 27 March Darby was finally able to depart Irish waters with some hundred-odd store ships under his care, and the next day two unknown sail were seen to the south. Whilst the fleet gathered in the convoy under an increasing gale, the Marlborough 74 and Cumberland 74 were deployed in chase of the strangers. Their return the next morning saw them escorting a prize, the French privateer Duc de Chartres 24, which would later be commissioned as a man-of-war under the Britannia?s first lieutenant, John Child Purvis.
On 11 April the fleet entered the Straits of Gibraltar. Intelligence received in London had suggested that it would be met by a Spanish fleet now numbering thirty-two sail of the line under the command of Admiral Don Luis de Cordova, but when the Alexander 74, Foudroyant 80 and Minerva 38 chased three enemy frigates into Cadiz the Spaniards was found to be to be still at anchor in the port. Somewhat relieved, Darby anchored off Cape Spartel that evening and sent the cutter Kite, Commander Henry Trollope, into Gibraltar with news of his impending arrival. Come daybreak a thick fog was covering the Gut of Gibraltar, but throughout the morning the mists dispersed under the hot Mediterranean sun to reveal to the joyous inhabitants and garrison their salvation in the form of the hundred-odd sail.
Admiral Don Luis de Cordova
During the morning Darby sent the supply ships and four sail of the line with attendant frigates into Rosia Bay whilst he kept under sail with the remainder of his fleet to prevent his larger men-of-war being subjected to any potential fireship attack. Nevertheless, the Spanish were determined to dispute the replenishment of the Rock, and as the convoy began to approach the bay fifteen specially prepared mortar and 26-pounder gunboats came out to tackle it, being supported by land mortars and batteries. The gunboats were forced to back off by one of the sail of the line and a couple of frigates, and indeed several were hastily abandoned by their crews who sought sanctuary in the rocks. Disdaining perhaps a little too recklessly their significance, the British men-of-war did not make any further attempt to complete the destruction of the gunboats, and as a result the latter remained a menace throughout the duration of the Channel Fleet?s stay at the Rock.
By 10.45 the leading ships from the convoy were coming to anchor off the New Mole, and as if this were a signal the Spanish batteries, which had been substantially reinforced overnight, opened up a furious bombardment. Fortunately the ships were able to berth just out of range of the cannon fire, but the inhabitants of the town were badly inconvenienced and evacuated to the southern end of the rock to escape the onslaught. Following a lull in fire during the afternoon the Spanish assault re-started in earnest at about 5 p.m. and it continued relentlessly thereafter. Meanwhile that evening Darby detached the frigates Flora 36, Captain William Peere Williams, and Crescent, 28, Captain the Hon. Thomas Pakenham to escort thirteen supply ships to Minorca.
Nothing daunted by their failure to disrupt the Rock?s continuing replenishment, the Spanish batteries continued their bombardment throughout the night of the 12th and into the succeeding days, resulting in a number of British soldiers becoming casualties. On 14 April, as fires burned ashore on Gibraltar, Rear-Admiral Sir John Lockhart-Ross shifted his flag into the Alexander 74 and entered the bay with three sail of the line to offer greater protection to the men unloading the convoy. Even so the Spanish gun-boats attempted another attack on the mornings of the 15th and the 16th but were rebuffed, although they had better fortune on the morning of the 18th when they inflicted casualties aboard the frigates Minerva and Monsieur, as well as material damage to the Nonsuch?s mizzen mast.
On the 20th, with the replenishment of Gibraltar complete and the wind veering towards the east, the men of war began to leave the bay under further harassing and damaging fire from the Spanish gunboats. Sailing with the fleet were many of the Rock?s civilians, as well as a good deal of merchandise and goods that the merchants had decided could not be safely retained on the rock. Ahead of the fleet Captain Trollope of the Kite was sent home with Darby?s despatches, arriving at the Admiralty on Sunday 13 May and being posted captain for his promptness
During Darby?s absence from the Channel the French had taken the opportunity to send out a squadron of six sail of the line from Brest under the 61 year-old Admiral Toussaint Guillaume La Motte-Picquet to intercept the homeward-bound St. Eustatius convoy, and this squadron took twenty-two of the thirty merchant vessels carrying Admiral Sir George Rodney?s booty at a value of five million pounds. Learning of this sortie whilst off the Scilly Isles on 16 May, Darby had detached eight sail of the line under Rear-Admiral Hon. Robert Digby to chase the French, but to no avail. The remainder of the fleet then anchored at Spithead on 22 May.
For the garrison and civilians who remained on the Rock of Gibraltar it would be another long eighteen months before they received a further relief, but for the moment Vice-Admiral Darby could congratulate himself on having performed an excellent service to the British maintenance of its vital Mediterranean possession.
Vice-Admiral Darby?s Fleet:
Captain of the fleet Rear-Admiral Richard Kempenfelt
Captain James Bradby
Captain John Bourmaster
Captain James Williams
Edgar 74 Commodore John Elliott
Captain Erasmus Gower
Formidable 98 Captain John Cleland
Ocean 90 Captain George Ourry
Queen 98 Captain Hon. Frederick Lewis Maitland
Namur 90 Captain Herbert Sawyer
Alexander 74 Captain Lord Longford
Bellona 74 Captain Richard Onslow
Canada 74 Captain Sir George Collier
Defence 74 Captain James Cranston
Dublin 74 Captain Archibald Dickson
Fortitude 74 Captain Sir Richard Bickerton
Bienfaisant 64 Captain Richard Braithwaite
Inflexible 64 Captain Rowland Cotton
Lion 64 Captain Hon. William Cornwallis
Magnanime 64 * Captain Charles Wolseley
Nonsuch 64 Captain Sir James Wallace
Repulse 64 Captain Sir Digby Dent
St. Albans 64 Captain Charles Inglis
Medway 60 Captain Henry Harmood
Minerva 38 Captain Charles Fielding
Monsieur 36 Captain Hon. Charles Phipps
Flora 36 Captain William Peere Williams
Prudente 36 Captain Hon. William Waldegrave
Ambuscade 32 Captain Hugh Seymour Conway
Emerald 32 Captain Samuel Marshall
Crescent 28 Captain Hon. Thomas Pakenham
Vestal 28 Captain Hon. George Cranfield Berkeley
=* The Magnanime, in the event, ?was not ready to sail with the fleet and instead joined the North Sea squadron.


It's also (subtly) a beer commercial. The peaceful isolation and fun waves in "Moon Tide" seem far more appealing than paddling out to sea with a pack of surfers belting, "We like Beer!" as Slater did in the Michelob Ultra Super Bowl ad, so this one probably works a little better. But SURFER's office ain't on Madison Avenue so what do we know?


text:
Q: What's the best way to handle resizing of thumbnails for dynamic images? I have a web app that lets users upload images.  The images then appear as thumbnails on the app, and when a user clicks on the thumbnail it shows the full size image.  Pretty standard.
Right now I'm storing the images in a MySQL database, and have the entire app running on Jboss.  To display the thumbnails, I have an IMG html tag that points to the full size image, and I just set the width and height to 50px.  This loads the image out of the db, sends the entire thing to the client, and then resizes it in the browser.  Obviously this seems like a big waste of resources and makes the pages take a long time to load, since there could be a lot of thumbnails on the page, so I'm trying to figure out the best way to improve this.
I found an apache module that resizes images on the fly.  So I was thinking I could use that to send the thumbnails to the client, reducing the bandwidth and page load time.  Since my images are stored in the database, is it possible and efficient for Apache to serve them?  Should I be storing the images on the file system instead?  Any suggestions on how I should handle this?

A: I think that all the overhead of processing the request and pulling image data from the database is totally unneeded.
Just handle the resize upon upload, and serve both thumbnails and big images as static files directly via webserver.

A: Depending on the number of images and image size - for 1 million 4MB images i would prefer not to store images in the database. But for 100 100K images yes it could handle it.
You need to consider Database backup times, and data retreival.
In one of my applications, which relied heavily on reducing database backup times and sizes, i did not store images in the database.


text:
Q: python read Large integers in excel I have an excel with following 3 large integers (in fact, they are ids).
But in excel it will be stored in scientific mode.
And when I use pandas to read the excel, I will lost precision since the integer is too large for int64 to store it.
Example data: (1.xlsx)
76307016609101000000000000000000
86412903902869300000000000000000
35575701294198100000000000000000
A = pd.read_excel("1.xlsx", engine="openpyxl", header=None, dtype=np.float64)
% no matter what the dtype is the result will be wrong

print(int(A.loc[0])) # 76307016609101001211632066494464 wrong

I don't know whether there's a type of int that's longer than int64 and supported by numpy/pandas. Thank you very much!!

A: If you can get excel to spit out the raw numbers then you can get around this by reading the numbers as Text
import pandas as pd
import io

txt='''\
line,Num,text
1,12345678901234435346789012345678901234567890,"large"
2,66464644666669999999999999999999999999999999999999999999999999999999999999991,"larger"
3,1,"unity"
4,-9999999999999999999999999999999999999999,"larger in a different way"
'''

df=pd.read_csv(io.StringIO(txt), converters={'Num':int})

print(df)

results in
   line                                                Num  \
0     1       12345678901234435346789012345678901234567890
1     2  6646464466666999999999999999999999999999999999...
2     3                                                  1
3     4          -9999999999999999999999999999999999999999

                        text
0                      large
1                     larger
2                      unity
3  larger in a different way

and you can still do sums on them
n=df["Num"][1]
print (n,n+1 )

yields
66464644666669999999999999999999999999999999999999999999999999999999999999991
66464644666669999999999999999999999999999999999999999999999999999999999999992


text:
'System Crasher' Review
by Chris Cummings
Stars: Helena Zengel, Albrecht Schuch, Gabriela Maria Schmeide, Lisa Hagmeister, Melanie Straub, Victoria Trauttmansdorff, Maryam Zaree, Tedros Teclebrhan, Matthias Brenner, Louis von Klipstein, Barbara Philipp, Amelle Schwerk | Written and Directed by Nora Fingscheidt
Written and directed by German filmmaker, writer and documentary maker Nora Fingscheidt, System Crasher is an intense and brutally honest and poignant drama about a young girl who has, in no uncertain terms, been utterly failed by the foster care system in Germany. It's a topic of great depth and delicacy and Fingscheidt used soft hands, an open mind and a well-educated thought process to create something that is spellbindingly truthful and realistic, a visceral look at a young life buried in anger, sadness and violence.
I was almost immediately taken aback by just how strong and compelling the 11 year old Helena Zengel (Die Tochter) is in the lead role of Benni. A raw and engaging actress, she captures your attention from the moment she is on screen and keeps hold of it throughout. I've heard that she has won awards for her performance here, and having seen her work now… I can't say I'm at all surprised. The frustration in her face when she encounters certain scenarios, be it an official, a teacher, a student or carer, screams out loud to the harm that has been done to her in the cracked and tormenting system she's a part of. There's a strong and ruthless critique here, a statement against the nature of the way things work and the negative aspects that it drenches children with.
This isn't one of those films that you finish watching and say "well, I enjoyed that, it was fun", but rather a film that feels important and necessary, a film with so much to say that matters. It's a difficult watch at times, but rewarding in the same instance. The way Benni's reactions go from joyous to agitated to absolutely enraged is shown so masterfully by both actor and Fingscheidt. There's a passion at play here in the story and the way it's being told, and in the way the filmmaker has drawn out such power from her performers, especially Zengel.
System Crasher is a vibrant and courageous film that used an intelligent script and story to pull back the dirty curtains on a system that is all but broken. It doesn't pull a trigger against those who work in the system nor throw barbs at these things, but shows, in both complex and simple terms, the life of a child who is struggling. It's a raw experience that truly should be seen, as much for the message it has to give as well as the energetic and wonderful performances on offer. Zengel is an incredible young actor and she has the world at her toes, I hope she goes on to show even more of what she's capable of. A special film.
**** 4/5
System Crasher is available today, an exclusive VOD release, via Curzon Home Cinema.
Tags : Albrecht Schuch, Amelle Schwerk, Barbara Philipp, Gabriela Maria Schmeide, Helena Zengel, Lisa Hagmeister, Louis von Klipstein, Maryam Zaree, Matthias Brenner, Melanie Straub, Nora Fingscheidt, Review, System Crasher, Tedros Teclebrhan, Victoria Trauttmansdorff


The Personalized Glen Plaid Dopp Kit is the ideal travel companion.
Great for vacations and business trips alike, this bag is the perfect size for carrying grooming tools and accessories. Featuring a wide zipper opening, a handsome plaid pattern, and one leather side handle, this durable personalized dopp kit is a bag for the everyday man.


Last month, Chinese national He Jiankui flouted a vigorous scientific debate when he told a room full of scientists that he had manipulated the embryos of Chinese twins, using Crispr to make one resistant to their father's HIV. He revealed to the group that the twins of the experiment had already been born.
Collier Meyerson is an Ideas contributor at WIRED. She was awarded an Emmy for her work on MSNBC's All In with Chris Hayes and two awards for her reporting from the National Association of Black Journalists. She is a contributing editor at New York Magazine, and maintains the Nobler Fellowship at The Nation Institute.
When we think about genetic engineering, we tend to think in absolute terms—a black-and-white stance with a barrier that, once crossed, leads to the downfall of civilization as we know it. In reality, we make genetic decisions all the time, in ways that are already subtly altering the people who make up society. It might seem strange to group He's experiment alongside the more common genetic procedures parents use to ensure their offspring don't inherit diseases. Yet both exist within a system in which—generally—only the economically privileged are able to pay for treatment to alter the traits that their offspring will and won't inherit. The danger isn't in the procedure itself, but who has access to this type of medicine—and right now that group is limited to those who can pay.
Suspend your belief in moral absolutism for just a moment. There is a universe in which the eugenics He practiced are actually a good idea. When we think of scientific eugenics, like in the movies, it's generally of the nonessential sort, the kind that will work to maintain western European standards of beauty or universal standards of good health—white babies with blue eyes, blond hair, and an ability to run 12 marathons a year. But what if the technology were used, in earnest, to create better outcomes for those with a proverbial leg down on the ladder of white supremacy?
In the United States, where black women disproportionately contract HIV, or in eastern and southern Africa, where according to UNICEF half the world's population with HIV live, breeding immunity into the population could be a good thing. The same thing goes for other possibly deadly diseases like sickle cell anemia, which most severely affects black children .
In practice, use of these techniques is a lot grimmer. "The idea that [gene editing] could be rolled out in subsaharan Africa is a fantasy," Henry Greer, a professor who specializes in the ethics of genetics at Stanford, told me. "The place where HIV is most prevalent is the place where people have the least access to medical care," he said, explaining that for the foreseeable future the technology will cost a lot of money.
In other places in the world, these kinds of genetic enhancements are already a readily used option. Last year my friend Allison tested positive for the BRCA gene, a mutation that dramatically increases her risk of developing ovarian cancer , breast cancer, or both. When Allison got the test results, it was a hard time, but ultimately she was thankful for the information. Recently Allison and I were discussing whether she would consider using in vitro fertilization to prevent passing the gene onto her children (should she choose to have them).
As far as Allison knows, she doesn't face fertility challenges, so there is no medical need for her to do in vitro. She would be electing to do something called preimplantation genetic diagnosis, a process that allows in vitro specialists to identify which embryos have BRCA and which don't, and then only implant the ones that don't.
My friend told me she doesn't expect to determine the fate of her future child using in vitro. "I feel confident that, by the time I have kids who might be dealing with this, there will be other solutions," she said over text. But if her insurance were to cover it, she said she'll reconsider.
Skewed access to the kind of treatment Allison considered is already creating a tiered genetic system, according to Judith Daar, a law professor at UC Irvine and author of The New Eugenics . Aside from preimplantation genetic diagnosis, Daar told me that lack of access to IVF has revived early-20th-century eugenics ideas that some are better fit to reproduce than others. Current law and policy surrounding IVF—where some are given access to expensive treatments while, for others, they remain out of reach—are tantamount to a new eugenics, she says, because they enable demographic features likes socioeconomic status, race, ethnicity, marital status, sexual orientation, and disability to suppress access to reproductive technology.
Though it doesn't involve manipulating embryos, we've already got a version of He's vision right under our nose. Gene technology is, for the most part, geared toward those who have . It's different, for sure—there is no editing, just eliminating embryos deemed undesirable. But traces of the same issue remain: Only some babies will benefit. How to universalize access is the real ethical pursuit.


>>>register if you haven't already.
>>>it's going to take you a while to catch up.
>>>so I know what you are going through.
>>>google is, essentially) - or in other words, duplicate content (I think).
>> potential visitors. When one loses, another gains.
global was happening and I was not specifically-targetted victim.


There are situations where heat gain is relatively small. For example a north facing conservatory will not suffer with heat gain in the intensive way that south facing conservatory will.
For some conservatory roof insulation installations, it is necessary to first coat the glass with a solar reflective film to prevent a build-up of heat between the existing glass roof and the insulated ceiling. Generally, this is not required for polycarbonate roofs.
Before fitting, the glass area must be carefully cleaned by the fitting team and then the film is generally applied to the inside while wet.
There are also certain situations where it is suitable to fit straight onto the glass externally. This requires a different type of film and different application methods.


text:
Q: How to use IIS URL rewrite for ColdFusion to remove Server header and other varibles from Header Response? For IIS (8 and above versions) As a part of security configuration, we should not be revealing the "Server" variable and other variables in the Header Response. How can I remove these variables for a ColdFusion server hosted on IIS?

A: *

*Download and Install "URL rewrite" from https://www.iis.net/downloads/microsoft/url-rewrite

*Go to the configured Jakarta folder and add a web.config here. To add a URL rewrite outbound rule to the "Jakarta" virtual directory, we need a web.config. The web.config should have an outbound rule and the variable removal rules mentioned below.

*Add an outbound rule to web.config, for erasing the server header response value and set it to blank.
<system.webServer>
    <outboundRules>
      <rule name="Remove Server">
        <match serverVariable="RESPONSE_SERVER" pattern=".*" />
        <action type="Rewrite" />
      </rule>
    </outboundRules>
  </rewrite>
</system.webServer>

*For server tag value removal for all static files like .css/.js files, add this to web.config:
<configuration>
  <modules runAllManagedModulesForAllRequests="true">
</configuration>`

*Add the code below to web.config for removal of X-Powered-By and X-AspNet-Version
<configuration>
 <httpProtocol>
  <customHeaders>
    <remove name="X-Powered-By" />
    <remove name="Server" />
    <remove name="X-AspNet-Version" />
  </customHeaders>
 </httpProtocol>
</configuration>

*Convert PortalTools from virtual directory to Application and add the same web.config to the PortalTools folder as well.


text:
Q: Generic Class with NSObject inheritance, self.setValue(, forKey: ) not work I want to set value direct in NSObject using self.setValue(, forKey: ) that time give me an error. like that

2018-03-08 17:36:36.723485+0530 BaseProject[20631:312969] *** Terminating app due to uncaught exception 'NSUnknownKeyException', reason: '[<_TtGC11BaseProject8DataRootCS_4Root_ 0x600000452840> setValue:forUndefinedKey:]: this class is not key value coding-compliant for the key data.'

When I set the value using Generic T like var data: [T] = []  then app is crash, and I set Class name like var data: [Root] = [] then work perfectly.
My Codes is
protocol AGMappable {
    init(with responseDict: [String: AnyObject])
}

My Model Class is
class Root: NSObject, AGMappable {
    var avatar: String = ""
    var id: Int = 0
    var first_name: String = ""
    var last_name: String = ""

    required init(with responseDict: [String: AnyObject]) {
        super.init()
        avatar = responseDict["avatar"] as? String ?? ""
    }
}

Set a value using setValue(,forKey:)
class DataRoot<T: AGMappable>: NSObject, AGMappable{
    var page: Int = 0
    var per_page: Int = 0
    var total: Int = 0
    var total_pages: Int = 0
    var data: [T] = []

    required init(with responseDict: [String: AnyObject]){
        super.init()
        if let datastr = responseDict["data"] as? [[String : AnyObject]] {
            var temp: [T] = []
            for v in datastr {
                temp.append(T(with: v as [String: AnyObject]))
            }
            self.setValue(temp, forKey: "data") // Here error
        }
    }
}

A: setValue(_:forKey:) can work with @objc properties only, as it relies on runtime features that only @objc properties have. Swift 4 changed the way class members are available to Objective-C: they are no longer available by default, so you either need to declare the class as @objcMembers, or add @objc individually to every member you need to expose to Objective-C.
However in your case the class can't be exported to Objective-C due to the fact that is a generic one, so you need to declare data as @objc var data: [T] = [], or dynamic var data: [T] = []

A: You can rewrite it like this
    let datastr = responseDict["data"] as? [[String : Any]]
    self.data = datastr?.map {
        T(with: $0)
    } ?? [T]()


The Montana Landlord and Tenant Act (MLTA) of 1977 provides for the rights and responsibilities of all Montana Landlords and Tenants.
Both Landlords and Tenants should know their rights and responsibilities in Montana Landlord Tenant law before entering into a rental or lease agreement.
MLTA can be accessed at Montana Code Annotated (MCA) Title 70 Chapters 24 and 25. Local libraries will provide the MCA or online access at MCA 2015.
If you are a Landlord and have given proper notice to the Tenant and the Tenant will not vacate, you may file an Action for Possession in Justice Court. Before you file you must have given proper notice to the Tenant.
If you are a Tenant and feel you are being evicted without cause, you may file an answer.
Fill out the Complaint and Summons in ink. You are the Plaintiff and the party(s) you want evicted is the Defendant(s). The Court will fill in the Cause Number. State the reason you are suing, include dates, reason for eviction etc. and who you want removed from what physical address. If there is more than one Defendant, use one summons for each Defendant.
The Praecipe is your instructions to the process server or Sheriff.
Mail or bring papers to the Court with the $50 filing fee. The Court will file the Complaint and issue the Summons.
Take the Original Summons and copy of the Complaint to the Sheriff or a private process server. They will serve the original summons and a copy of the complaint and summons on each defendant named in the action. You will be required to pay a service fee for each original document to each Defendant for service. For information contact the Madison County Sheriff's Office at (406)843-5301. If Defendant lives out of County it is your responsibility to contact the Sheriff's Department in that County or a private process server.
The Sheriff's office will return the original Summons to you with a Sheriff's Return, which shows if the Defendant was served, and date of service. It is your responsibility to return the original summons with return to the court.
Defendant has 10 days excluding the date of service to file an Answer after date of service. If Defendant files an Answer with a $30 answer fee, denying allegations in the Complaint, the court will set a date for hearing.
If the Defendant does not file a written answer within the 10-day period, the Plaintiff will be entitled to a Judgment by Default.
To prepare for your case, it is beneficial that both parties have all facts written down.
Is there a written or oral contract or agreement?
What date was the contract oral or written entered into?
When and how did Defendant breach the contract?
Have dates of all events in chronological order written down.
At the time of trial, the Judge will place you under oath and ask you to tell the facts of your case. Facts should be presented in the proper order in which they happened. First the Plaintiff tells his/her side, presents evidence and calls all Witnesses. Then Defendant will tell his/her side, presents evidence and call witnesses. Each party may cross examine the other party and the witnesses and ask any questions about evidence. After testimony, each side may make closing statements to sum up the case. The Judge will then decide.
The prevailing party will be required to pay a $20 Judgment Fee to the Court when Judgment is awarded. A Judgment fee is not required for a Default Judgment.