text:
DRAGON PARK is the largest theme park in Southeast Asia located in Ha Long, Quang Ninh, Vietnam. It opened on January 25, 2017.[1] The amusement park is part of a large resort complex known as Sun World Halong Complex that includes an aerial tramway called the Queen Cable Car, Sun Wheel — a large observation wheel, as well as gardens, restaurants, a shopping district and a family entertainment center with arcade games. The Typhoon water park opened in April 2017 [2] The park was designed in 2015 by International Theme Park Services, Inc. (Cincinnati, Ohio) in collaboration with Wyatt Design Group and Hetzel Design, both based in California.[3]

Ownership

Dragon Park, including the SunWorld HaLong resort, is owned by Sun Group, a Vietnamese investment group that was established in 2007 and specializes in hospitality, real estate development and construction.

Roller coasters

+---------+---------+---------+---------+---------+---------+---------+
| Name    | Type    | Manufac | Model   | Opened  | Other   |         |
|         |         | turer   |         |         | statist |         |
|         |         |         |         |         | ics     |         |
+=========+=========+=========+=========+=========+=========+=========+
| Dragon' | Steel   | Bollige | Sitting |         | -   Len | [4]     |
| s       |         | r       | Coaster |         | gth:    |         |
| Run_    |         | &       |         |         | -   Hei |         |
| Formerl |         | Mabilla |         |         | ght:    |         |
| y       |         | rd      |         |         | -   Inv |         |
| Time    |         |         |         |         | ersions |         |
| Machine |         |         |         |         | :       |         |
| and Led |         |         |         |         |     6   |         |
| Zeppeli |         |         |         |         | -   Spe |         |
| n:      |         |         |         |         | ed:     |         |
| The     |         |         |         |         |         |         |
| Ride at |         |         |         |         |         |         |
| Freesty |         |         |         |         |         |         |
| le      |         |         |         |         |         |         |
| Music   |         |         |         |         |         |         |
| Park    |         |         |         |         |         |         |
| _       |         |         |         |         |         |         |
+---------+---------+---------+---------+---------+---------+---------+
| Mysteri | Steel   | Vekoma  | Junior  |         | -   Len | [5]     |
| ous     |         |         | Coaster |         | gth:    |         |
| Journey |         |         |         |         | -   Hei |         |
|         |         |         |         |         | ght:    |         |
|         |         |         |         |         | -   Spe |         |
|         |         |         |         |         | ed:     |         |
+---------+---------+---------+---------+---------+---------+---------+
| Little  | Steel   | Vekoma  | Suspend |         | -   Len | [6]     |
| Dragon' |         |         | ed      |         | gth:    |         |
| s       |         |         | Family  |         | -   Hei |         |
| Flight  |         |         | Coaster |         | ght:    |         |
|         |         |         |         |         | -   Spe |         |
|         |         |         |         |         | ed:     |         |
+---------+---------+---------+---------+---------+---------+---------+

Attractions

[Crazy Crane, a Topple Tower from a french park, Walygator Parc.] In addition to three roller coasters, the park has 29 rides including the drop tower, Rhino Sling; the Royal Carousel, Tow boat ride, Tea Cups, Little Dragon's Run, Circus Train and Garden Cruisers — a boat ride through tropical gardens.[7] Coming from France, the Topple Tower _Tang'Or_ moved to Dragon Park and is named _Crazy Crane_.[8]

[1] https://rcdb.com/12646.htm

[2]

[3]

[4]

[5]

[6]

[7]

[8] wonderworldweb.over-blog 11-01-2015

title: Dragon Park Ha Long

question: What is the largest theme park in Southeast Asia?

answer: Dragon Park, located in Ha Long, Quang Ninh, Vietnam

question: When did Dragon Park open?

answer: January 25, 2017

question: Who designed Dragno Park?

answer: International Theme Park Services in collaboration with Wyatt Design Group and Hetzel Design

question: Where is International Theme Park Services located?

answer: Cincinnati, Ohio

question: Write a ~2 sentence summary.

answer: Dragon Park is the largest theme park in Southeast Asia, located in Ha Long, Quang Ninh, Vietnam. It opened in January 25, 2017.


split: train

text:
## The Mountain

He was tired. He had been tired for as long as he could remember, swaddled gently, almost protectively, in a deeper, more profound fatigue than the fatigue that comes of hard labor. He had been born tired, his mouth already yawning before he had even seen the world for the first time through heavy-lidded eyes, had taken in the dust and the leaves that settled heavily on the bed as though they had been planted and taken root and had grown wild. Even then, even when his experience with the world was nothing and he was not anything but could be everything and yet was incomplete he did not sleep. He rested. Never long enough he rested, but he lay alone and let the darkness rush in upon him. Darkness did not fear him and he did not fear darkness. Once he could walk his world expanded, in the same way the world expanded and shifted itself when he discovered how to make the noises that everyone else made, the wondrous noises that made him like everyone else but also made him aware of his difference from the others. They feared the darkness. They feared it because they could not see     , had never felt     , did not know     . But they saw it in his eyes, and they feared him.

---

The mountain had existed long before him, and will continue to exist long after his time on this earth is over, but it did not exist and he did not exist until he saw it for the first time. He was walking in the forest and suddenly became aware of it. There it was, looming up out of the land, fighting against and up and out of the land. He saw it and it saw him. He started coming back to the clearing each day and night to watch the mountain. It stood, massive, unknowable and known, through sun and moon and dry and wet. He stood, watching. It was of itself, he was of himself, they were almost one.

---

He was going to build a road. He was going to build a road up the mountain. His mountain. He worked first as a logger, venturing deep into the forests with the strong hard men that had walked this path every day of their lives since they were ten, that had become a part of the forest, moving within like a part of the whole, at ease among the towering giants, looking upon them as they would look upon an old friend. "I'm goin' to build a road" "Where" The question was asked during lunch. "Over the mountain" At that they stopped eating and stared at him. He sat, unaware that he had had said something out of place, so sure of himself, sure of his goal his purpose that nothing could stop him that the older men who had grown so used to the way that life worked that they could no longer remember a time when anything was possible. They recognized in him a vibrant solemnity and so they left him be, just as they left him be when they saw him pause and stare into the forest, face taut, his eyes searching for something only he could see, just as he left them when he had learned how to fell trees with a single mighty blow of his axe. He left, and he bought two horses to haul the wood. They had never seen him sleep.

---

He left them there, and went to the mine. The first time he entered he felt that he could not breathe, the familiar darkness unfamiliar and enveloping him and the mountain bearing down on him. His mountain. But he was stronger than his fear and so he pushed on, learning how to listen for the whispers of the rock. "I'm goin' to build a road" The miners did not laugh at him for they had seen the way he looked at the mountain each morning as they descended. They had seen his eyes, eyes filled with     . He knew every tree that had ever grown on it, every stone that had torn loose or been removed, every crack in its face that had been there since before his birth. He surpassed the miners, learning the secrets of the mountain, his mountain, the twistings and turnings of the rock.

---

He woke the next day, feeling rested for the first time in his life. *The road* He made his breakfast, moving quietly. His tools were heavy in his hands as he carried them carefully to the chest. The horses outside stamped their hooves. *I am ready ready am I ready My hands are my own and my hands know how to do what hands do, but how do I know how to do what hands do* He lifted the chest onto his shoulder, not even noticing the weight, not bothering to close the door after his passage. The horses' breath hung heavily, mixing with his own breath as he heaved the chest into the wagon, only after feeling the burn in his muscles. He turned. The mountain, his mountain, loomed above him. *I hear the horses I hear the trees I hear the land I hear it hear the mountain hear you* The horses moved forward steadily. Behind him the house retreated, fading from view and memory as if finally surrendering to something greater than those that built it, greater than the mountain, greater even than memory. As he reached the base of the mountain, the horses suddenly stopped and stamped their feet, mouths foaming and eyes rolling, and refused to travel any further. Once again he stepped down onto the dirt, placing one foot deliberately and then the second. Once again he walked to the back of the wagon and hoisted his precious chest on one large shoulder. Leaning slightly to compensate for the load, he continued toward his mountain. It was still several miles distant, but he could see the clearing where he would begin. He continued walking towards the mountain, into the land, into     , and vanished. *The road road the road the*

title: The Mountain - a short story in Faulknerian style

question: Explain how the man feels about the mountain.

answer: He feels like he and the mountain were almost one. He felt like it was his mountain.

question: Why does the man want to build a road?

answer: The story doesn't describe why he wants to build the road, but he wants to build it over the mountain, his mountain.

question: Are there any other important characters other than the man?

answer: None are described.

question: Is there a conflict? Is it resolved?

answer: There really isn't any conflict.

question: Write a ~9 sentence summary.

answer: The man is always tired; he had been born fatigued. One day, he suddenly becomes aware of a mountain. He saw it and it saw him. He started going to the clearing daily to look at the mountain, his mountain. He feels like they are one. He decides to build a road over the mountain. He buys horses to haul wood. He wakes one morning, finally feeling rested. He leaves his house to start building the road.


text:
_MICRURUS MIPARTITUS_ (REDTAIL CORAL SNAKE[1] or MANY BANDED CORAL SNAKE[2]) is a species of coral snake in the family Elapidae.[3] It is found in South and Central America. The redtail coral snake is common in agricultural areas in Colombia.[4] Its highly neurotoxic venom is known to cause seizures in its prey by activating nerve proteins responsible for seizures within it.[5]

Subspecies

Five subspecies are currently recognized:[6]

Phenotypic features

_Micrurus mipartitus_ has a cylindrical body that can reach up to 140.6 centimeters in length.[7] They have quite small eyes upon their round heads. The black bodily rings of this species can range anywhere from 34 to 84 and are sundered by yellow or white intermediaries. The second ring on the head and 3 or 4 of the tail rings exude a red color in contrast to the white or yellow bands.[8]

Natural history

_Micrurus mipartitus_ is a species of crepuscular and nocturnal habits. During period of low rainfall, could be located underground several centimeters deep. In times of high rainfall it's found on soil surface or where leaf litter is abundant. This coral snake lives from tropical dry forest to foggy forests and is related to human settlements in rural areas used for agriculture.[9]

The diet of _M. mipartitus_ is mainly based on snakes (e.g. _Atractus werneri_, _A. sanctamartae_, _Leptotyphlops_ spp.) as well as lizards (e.g. _Lepidoblepharis sanctaemartae_), amphisbaenids (e.g. _Amphisbaena_ spp.), frogs, and caecilians (e.g. _Caecilia guntheri_). It is oviparous; about eight white-colored eggs have been recorded, which are 2.9 cm long, with an average weight of 3.1 gr. Incubation period lasts between 73–87 days, total length of the infants could vary from 20–21.9 cm and weight is around 3.3 gr.[10]

Range

It occurs in Central America and South America.[11][12][13] Limits of its range vary by source and may include Nicaragua[14] and Costa Rica[15] in the north, although older records from Nicaragua and Costa Rica likely refer to _M. multifasciatus_.[16] The IUCN Redlist restricts its range to Panama, Colombia, Venezuela, and Ecuador, and possibly Peru.[17] It has also been listed from Brazil (Rondônia).[18]

Venom

The redtail coral snake has a potentially deadly neurotoxic venom which produces a complete depolarizing muscle block.[19] The venom acts by blocking the neuromuscular transmission of nerve muscle preparations, it acts in a post-synaptic way through the nicotinic acetylcholine receptor (nAChr), inhibiting the muscle contractions in phrenic nerve diaphragm.[20] After the bite, local pain and paraesthesia appear in minutes, in severe cases, neurological manifestations appear in 30 minutes to 1–2 hours, such as progressive bilateral ptosis, dysarthria, progressive weakness in the muscles of the extremities, difficulties in walking, salivation, drowsiness, respiratory arrest, flaccid quadriparesis and severe flaccid quadriplegia. The LD50 for 18-20 gram mice is 9 μg and 0.45 mg / kg. The intraperitoneal lethal dose is 0.125 mg / kg and 0.06 μg / g. [21][22]

[1]

[2]

[3]

[4]

[5]

[6]

[7]

[8]

[9]

[10]

[11]

[12]

[13]

[14]

[15]

[16]

[17]

[18]

[19]

[20]

[21]

[22]  snakeID.online|url=http://snakedb.org/pages/ld50.php%7Caccess-date=2020-10-26%7Cwebsite=snakedb.org}}

title: Micrurus mipartitus

question: What other names does the redtail coral snake go by?

answer: many banded coral snake and micrurus mipartitus

question: Where is the redtail coral snake most commonly found?

answer: agricultural areas in Columbia

question: Is the redtail coral snake venomous?

answer: Yes, the redtail coral snake is venomous.

question: What is the range of the redtail coral snake?

answer: The redtail coral snake lives in Panama, Colombia, Venezuela, Ecuador, and possibly Peru and Brazil.

question: Write a ~0 sentence summary.


text:
JOYCE “FENDERELLA” IRBY is an American singer, songwriter, bass guitarist and producer. She was the co-lead vocalist of the all-female band Klymaxx. Irby has also worked with artists such as Lloyd, Troop, Sammie, The SOS Band and Shalamar.[1][2]

Career

Irby in her teenage years, used to stand outside concert arenas in the south with her bass around her neck, playing on the loading ramp. There she was first noticed by George Clinton. He used to make her sit with him after concerts, encouraged her by listening to her play.[3]

Solo Artist

She originally signed on with George Clinton's P-Funk crew as “Fenderella”. In 1989, she scored a solo deal with Motown Records and had 3 charted Billboard singles, most notable “Mr. DJ” with Doug E. Fresh which peaked at #2.

Irby relocated from Los Angeles to Atlanta in the late 1980s and since 1986 began attempting to engineer the rise of Atlanta as an urban music center by soliciting major record labels and producers Jimmy Jam and Terry Lewis, and L.A. Reid & Babyface to form regional offices in the Atlanta area.

Klymaxx

Dick Griffey, president of Solar Records, saw Irby perform at Loading Ramp and he asked Leon Sylvers, the producer, if he could contact her. They were in search of a female bass player for their new group Klymaxx.

Jimmy Jam heard her singing while he was playing piano in the studio with the girls which led her to the opportunity to lead Klymaxx songs. She was the lead singer on 3 of Klymaxx’s 4 biggest records, including their biggest hit “I Miss You.” She also penned and recorded the group’s first hit, “The Men All Pause."

Diva One Productions

Irby relocated to Atlanta where she founded Diva One Productions,a production and publishing company. She signed a 16-year-old writer/producer, Dallas Austin. Her greater impact may have been the result of her signing a young Dallas Austin as a songwriter and producer in 1988. Dallas produced the first TLC and Boyz II Men projects while still signed to Irby's company Diva One Entertainment.

As an artist developer she signed child star Sammie Bush, and made a deal with Dallas and Capitol Records which launched Sammie's career when he was 12 years old. Irby also signed Lloyd (The Inc) as an 11-year-old and developed and guided his career through four major record deals (Warner, DreamWorks, Magic Johnson Music/MCA, The Inc/Universal). Irby gave multi platinum writer/producer Jasper Cameron his first songwriting deal. In 2012 Irby scored a top 5 Billboard hit as a co-writer with the Fat Joe/Chris Brown song, “Another Round”.

Joyce had early success as a writer/producer with Klymaxx, Shalamar, The Boys, Braxtons, Ricca, Sammie, Lloyd, and Carrie Lucas & Troop.

Honors and awards

Irby won an ASCAP songwriter award in 2012 for co-penning one of the most played Urban records in the US, a top 5 single, “Another Round”, by Fat Joe, Chris Brown, & Mary J Blige.

Personal life

An avid animal lover, Irby started her own charity “Jams For Animals”, to raise consciousness and promote kindness to animals through music and video.[4]

[1]

[2]

[3]

[4]

title: Joyce Irby

question: Summarize what the text says about Joyce Irby's career and rise to fame.

answer: Joyce Irby's rise to fame started when she was first noticed by George Clinton when she used to stand outside concerts, playing her bass guitar. George Clinton would make her sit with him after concerts, encouraging her to play. Joyce then signed on with George Clinton's P-Funk crew and later scored a solo deal with Motown Records. She had early success as a writer and producer for multiple bands and won many awards along the way.


text:
Welcome to Lilac Lotus Life Coaching

[]_A_ _JOURNEY OF A THOUSAND MILES BEGINS WITH A SINGLE STEP - LAO TZU_

We can spend a long time looking for something in life, not knowing what it is. We can have a feeling that something needs to change , but something is in the way.

We can feel stuck, and although we are trying to make changes to our lives. We find that the more we try to change things, the less they actually change.

WHY?
Because although we want to make changes in our lives,we are actually resistant to change. This could be due to challenges we have with fear, limiting self beliefs, confidence and self esteem, feeling stuck, motivation and assertiveness.

[]

_DO YOU WANT TO HAVE THE LIFE YOU HAVE ALWAYS DREAMT ABOUT, BUT DON’T KNOW HOW TO GET IT?_

Lilac Lotus Life Coaching can help you develop great self esteem and confidence, so that you feel empowered and motivated to do anything in life. You will be given the tools to change your mind set to be who you really want to be.

Lilac Lotus life coaching services have an emphasis on  WELL-BEING and MINDFULNESS.

MINDFULNESS means focusing on being in the present,whilst paying attention to, and acknowledging how your body feels, feelings/emotions and thoughts,including pain. All in a non judgmental way.

RESEARCH SHOWS THAT MINDFULNESS REDUCES STRESS AND ANXIETY, HELPS THE MIND TO FOCUS AND HELPS PEOPLE TO ACCEPT CHANGE IN LIFE.

Changing your life is a journey, its a journey of a thousand miles...To the real you.

question: According to the author, why can people be resistant to change?

answer: People can be resistant to change due to challenges one have with fear, limiting self beliefs, and lack of confidence and self-esteem.

question: What can Lilac Lotus Life Coaching help individuals do?

answer: Lilac Lotus Life Coaching can help individuals develop great self esteem and confidence.

question: What are the things that Lilac Lotus life coaching emphasize?

answer: Lilac Lotus life coaching have an emphasis on well-being and mindfulness.

question: What is mindfulness?

answer: Mindfulness is the idea of focusing on being in the present whilst paying attention to, and acknowledging how your body feels.

question: Write a ~2 sentence summary.

answer: This article describes the work of Lilac Lotus Life Coaching, a company that can help individuals develop better self-esteem and confidence. Lilac Lotus emphasizes well-being and mindfulness in their coaching.


text:
RANCHO VIEJO is a census-designated place (CDP) in Starr County, Texas, United States. It is a new CDP formed from part of the La Rosita CDP prior to the 2010 census with a population of 228.[1]

Geography

Rancho Viejo is located at (26.414259, -98.915884).[2]

[1]

[2]

title: Rancho Viejo, Starr County, Texas

question: What is Rancho Viejo?

answer: Rancho Viejo is a census-designated place (CDP).

question: Where is Rancho Viejo located?

answer: It is located in Starr County, Texas.

question: From what former census-designated place was Rancho Viejo formed from?

answer: It was formed from La Rosita.

question: What was the population in Rancho Viejo according to the 2010 census?

answer: The population was 228.

question: Write a ~1 sentence summary.

answer: This article briefly describes a census-designated place in Texas called Rancho Viejo.


text:
ST. IGNATIUS UNIVERSITY CENTRE, ANTWERP (UCSIA) is an independent continuation of the Jesuit effort to keep alive the Christian and Jesuit influence on to education after its predecessor the Universitaire Faculteiten Sint-Ignatius Antwerpen (UFSIA) joined two other universities to become the public University of Antwerp in 2003.

History

Early history

The roots of UCSIA go back to Sint-Ignatius Handelshogeschool (Saint-Ignatius School for Higher Education in Commerce) founded by the Jesuit (Society of Jesus) in Antwerp in 1852. This was one of the first European business schools to offer formal university degrees. It later opened a Faculty of Literature and Philosophy (including Law) and a Faculty of Political and Social Sciences. It was renamed Universitaire Faculteiten Sint-Ignatius Antwerpen (UFSIA) in the 1960s when the Belgian Government granted it university status.

In the early 1970s UFSIA joined into a confederation with “Rijksuniversitair Centrum Antwerpen” (RUCA) and “Universitaire Instelling Antwerpen” (UIA), public institutions.[1]

In 2003 UFSIA, RUCA, and UIA merged into the University of Antwerp to become the first explicitly pluralistic university in Belgium, offering philosophical, ethical, and spiritual discourse and openness towards religious and intercultural dialogue. It soon became the third largest university in Flanders with 20,000 students.[2]

Since UFSIA became a part of a public university, the Jesuits maintains a think-tank. This think-tank became the University Centre Saint-Ignatius Antwerp (UCSIA), an independent, non-profit, international, and interdisciplinary organisation whose aim is to maintain the Jesuit influence in higher education.[3]

[1]

[2]

[3]

title: Saint Ignatius University Centre, Antwerp

question: What is the St. Ignatius University Center, Antwerp?

answer: UCSIA is a non-profit, independent, think-tank organization within a public university in Antwerp whose aim is to maintain the Jesuit influence in higher education.

question: Which public university is the UCSIA part of?

answer: The UCSIA is part of University of Antwerp

question: When was UFSIA founded?

answer: The school was granted university status in the 1960s.

question: What significant merge happened in 2003?

answer: In 2003 the UFSIA, joined into a confederation with two public institutions to become the first pluralistic university in Belgium, the University of Antwerp.

question: Write a ~2 sentence summary.

answer: UCSIA is a non-profit, independent, think-tank organization within a public university in Antwerp. UCSIA's aim is to maintain the Jesuit influence in higher education.


text:
_N_-OLEYL-1,3-PROPANEDIAMINE (or (_Z_)-_N_-9-OCTADECENYLPROPANE-1,3-DIAMINE or _N′_-OCTADEC-9-ENYLPROPANE-1,3-DIAMINE) is an organic chemical compound, with a summary formula C₂₁H₄₄N₂, relative molecular mass of 324.597.[1][2]

The AkzoNobel product is called _Duomeen OL_.[3]

Under standard conditions, it is a yellow liquid with an ammoniacal odour, density of 0.841 g/cm³, melting point of about 12 °C, pour point 18 °C, boiling point 300 °C.[4]

It is a fatty diamine (a polyamine), used as a catalyst for urethanes and epoxies, surfactant (e.g., in gasoline), emulsifier (for asphalt, car undercoatings), ore flotation agent, an anti-settling agent or a dispersant (e.g., in paints), as anti-fouling or anti-scaling additive, as a corrosion inhibitor, in adhesives, as a lubricant (weaker than soaps but relatively insensitive to cationic impurities), in sealants, as a processing aid and an intermediate. In some applications, its bacteriostatic properties are of value.

[1] National Center for Biotechnology Information. PubChem Compound Database; CID=40764. https://pubchem.ncbi.nlm.nih.gov/compound/40764 (accessed 2016-12-24).

[2] http://www.chemicalbook.com/chemicalproductproperty_en_cb3896734.htm

[3] http://sc.akzonobel.com/en/fa/Pages/product-detail.aspx?prodID=8647

[4] http://chem-international.com/wp-content/uploads/2013/08/Oleyl-Diamine.pdf

title: N-Oleyl-1,3-propanediamine

question: When was N-Oleyl-1,3-propanediamine discovered?

answer: That information can't be found.

question: Describe the appearance of N-Oleyl-1,3-propanediamine.

answer: It is a yellow liquid.

question: What are the applications of N-Oleyl-1,3-propanediamine?

answer: It is used as a catalyst for urethanes and epoxies, a surfactant, an emulsifier, an ore flotation agent, an anti-settling agent or a dispersant, an anti-fouling or anti-scaling addititive, a corrosion inhibitor, a lubricant, in sealants and adhesives, a processing aid and an intermediate.

question: What is AkzoNobel?

answer: Seems to be a company that produces N-Oleyl-1,3-propanediamine under the product name Duomeen OL.

question: Write a ~2 sentence summary.

answer: N-Oleyl-1,3-propanediamine is an organic compound with a variety of applications including being used as an emulsifier, an ore flotation agent, and a lubricant. AkzoNobel produces it under the name Duomeen OL.


text:
FERDINANDO PIO ROSELLINI (1814–1872) was an Italian mathematician and botanist.

Life and work

The son of a wealthy family of merchants of Pescia, his elder brother was the Egyptologist Ippolito Rosellini. He studied mathematics at the University of Pisa, and mathematical physics at the University of Florence under Leopoldo Nobili.[1]

From 1836 he was the tutor for the four sons of Giorgio Doria in Genoa; one of them became the known botanist Giacomo Doria, the namesake of the Natural History Museum of Genoa. In 1846, three years after the death of his brother Ippolito, he married his widow and adopted his three sons: Eugenio, Angela and Giovanbattista.

In 1848, during the Revolutionary period, he was very active in politics; he was a member of the Circolo Patriottico Milanese, and editor of the political journal _La Croce di Savoia_.

In 1853 he was appointed director of the _Istituto di Commercio e Industria_ of Turin, founded by Cavour. From 1859 he was director of _Istituto Tecnico Leardi_ in Casale Monferrato where he had as a student a young Vilfredo Pareto.[2] After his death, his herbarium and manuscripts remained in the Istituto.[3]

[1] , page 49.

[2] , pages 101–102.

[3] , page 93.

title: Ferdinando Pio Rosellini

question: Who is Ferdinando Pio Rosellini?

answer: He was an Italian mathematician and botanist.

question: How is Ferdinando related to Egyptologist Ippolito Rosellini?

answer: Ippolito is Ferdinando's elder brother.

question: Summarize everything relating to Ferdinando's education.

answer: He studied mathematics at the University of Pisa, and mathematical physics at the University of Florence under Leopoldo Nobili.

question: How old was Ferdinando when he married his brother's widow?

answer: 29

question: Write a ~4 sentence summary.

answer: Ferdinando Pio Rosellini was an Italian mathematician and botanist whose elder brother was Egyptologist Ippolito Rosellini. Ferdinando married Ippolito's widow in 1846, three years after his brother's death. n 1853 he was appointed director of the Istituto di Commercio e Industria of Turin, and from 1859, he was director of Istituto Tecnico Leardi in Casale Monferrato. His famous students include Vilfredo Pareto and botanist Giacomo Doria, the namesake of the Natural History Museum of Genoa.


text:
The 2016–17 SOUTH ALABAMA JAGUARS WOMEN'S BASKETBALL TEAM represented the University of South Alabama during the 2016–17 NCAA Division I women's basketball season. The Jaguars, led by fourth year head coach Terry Fowler, played their home games at the Mitchell Center as members of the Sun Belt Conference. They finished the season 11–20, 5–13 in Sun Belt play to finish in tenth place. They advanced to the quarterfinals of the Sun Belt Women's Tournament where they lost to Texas–Arlington.

Roster

Schedule

[1] |- !colspan=9 style=“background:#000066; color:#ff0000;”| Exhibition |- !colspan=9 style=“background:#000066; color:#ff0000;”| Non-conference regular season |- !colspan=9 style=“background:#000066; color:#ff0000;”| Sun Belt regular season |- !colspan=9 style=“background:#000066; color:#ff0000;”| Sun Belt Women's Tournament

[1] http://www.usajaguars.com/schedule.aspx?path=wbball

title: 2016–17 South Alabama Jaguars women's basketball team

question: What is the main topic of the article?

answer: The South Alabama Jaguars Women's Basketball team from 2016-2017 represented the University of South Alabama during the NCAA Division 1 season.

question: Who is the coach of the Jaguars?

answer: The coach is Terry Fowler.

question: In what place did they finish the season?

answer: The Jaguars finished the season in 10th place.

question: What is NCAA?

answer: It isn't stated in the article.

question: Write a ~1 sentence summary.

answer: The South Alabama Jaguars Women's Basketball team from 2016-2017 represented the University of South Alabama during the NCAA Division 1 season, coached by Terry Fowler.


text:
THOMAS ALLSTON BROWN (January 16, 1836 – April 2, 1918) was an American theater critic, newspaper editor, talent agent and manager, and theater historian, best known for his books, _History of the American Stage_ (Dick & Fitzgerald: New York, 1870) and _A History of the New York Stage from the First Performance in 1732 to 1901_ (Dodd Mead: New York, 1902).

Life and career

Brown was born in Newburyport, Massachusetts, to Thomas James Brown (1800–1867) and Lucretia Hamsly Brown _(née_ Lucretia Hamsly Milton; 1810–1872).[1] He began his career as the Philadelphia correspondent and theater critic for the top entertainment journal of the time, the _New York Clipper_. He freelanced for other show-business publications and published his own paper, called _The Tattler_.[2][3]

In 1860, Brown entered show business as the advance man for the Cooper English Opera Company, managed by virtuoso violinist Henry Charles Cooper (1819–1881). He later worked for Gardner & Madigan's Circus (re: the Gardner and Madigan families, including Dan Gardner and John Madigan) as treasurer and manager of the box office.[4] During one circus performance, the assistant to the ropewalker Blondine went missing. Blondine's opening stunt was to walk a tightrope from the stage to the balcony with a person on his back. T. Allston Brown filled in for the missing helper, and the _Baltimore Press_ dubbed him “Colonel” for the deed. Brown adopted the honorary title and used it for the remainder of his career.[5]

In 1863, Brown was named editor of the _New York Clipper_. He kept the post until 1872, when he retired from journalism. He next pursued a career as an agent and manager for entertainers. His clients included the famous female impersonator Ernest Byne (1848–1904), the Hanlon Brothers, and Mlle. Marie Aimée (sv) (1852–1857). On May 7, 1879, Brown became partner with Morris Simmonds (1839–1896) in Simmonds & Brown, Dramatic Agents, and continued to run the company after Simmonds died.[6]

As early as 1858, Brown had begun compiling stories and biographies of theatrical performers in the United States.[7] Much of his material came from players in the field, who supplied biographical sketches.[8] He began to write a book on the subject, and in 1870 he published the exhaustive _History of the American Stage_.[9][10] In 1906, he retired from show business to devote more time to history and writing.[11] Brown died in Philadelphia in 1918. _The New York Times_ wrote in Brown's obituary that _A History of the New York Stage_, published in 1903, “was said to be one of the most complete accounts of the development of the stage in America that has been written”.[12][13]

Notes

[1] Thomas Allston Brown, Massachusetts, Town Records, 1620-1988, Ancestry.com

[2] Cullen 147.

[3] Sentilles 122.

[4]

[5] Cullen 148.

[6]

[7]

[8]

[9]

[10]

[11]

[12]

[13] “Col. T. Allston Brown”, _The New York Times_, 1918-04-04, p. 13.

title: T. Allston Brown

question: Describe Hamsley Brown's career trajectory from critic to historian and author.

answer: Brown was first the advance man-also known as a sort of publicist-for the Cooper English Opera Company. He worked for a circus, generating press releases until he had to fill in as a helper for a somewhat famous performer. He was dubbed "Colonel" and he adopted this title for the rest of his career. He then moved on to being an editor for the New York Clipper before retiring from journalism after an 11-year stint. He returned to his roots in a sense, providing services in publicity and impression management for many artists. Along the way, Brown had begun compiling notes on his pursuits and observations, as well as detailing a written history of the theater sketches, until it made sense to parlay that impulsive hobby into a writing a book. He retired from show business to dedicate himself to compiling historical information and writing books about the development of theater in the USA.


text:
(CNN)President Donald Trump on Tuesday addressed a joint session of Congress to outline his legislative agenda, and CNN's Reality Check Team was there to vet his claims.

The team of reporters, researchers and editors across CNN listened throughout the speech and analyzed key statements, rating them true, mostly true, true but misleading, or false.

"The murder rate in 2015 experienced its largest single-year increase in nearly half a century," Trump said.

It's been a fact he's struggled with both as president and on the campaign trail. Trump repeatedly said in the past that the murder rate is the highest it's been in roughly 45 years, which is not accurate.

He got it right this time.

We rate his claim as TRUE. The United States did experience its highest one-year increase in the murder rate in half a century between 2014 and 2015, according to FBI Uniform Crime Reports.

One reason for the huge jump is that the murder rate in 2014 was so low, at 4.5 murders per 100,000 people.

Still, even with the one-year increase, the murder rate for 2015 -- 4.9 per 100,000 people -- was lower than it was 45 years prior. In the 1990s, for example, the murder rate hovered between eight and 10 murders per 100,000 people.

Trump added there were more than 4,000 people shot last year in Chicago, which is also TRUE. In fact, there were 4,331 shooting victims, according to the Chicago Police Department.

Pipelines

REALITY CHECK: TRUMP ON PIPELINE JOBS

By Laura Koran, CNN

Trump asserted his administration's support of the Keystone XL and Dakota Access pipelines are "creating tens of thousands of jobs."

The remark wasn't the first time Trump touted the job-creating potential of the two controversial pipelines. Last month, when Trump signed an executive order paving the way for construction to move forward, he claimed Keystone XL alone would create 28,000 "great construction jobs."

But how accurate are his estimates?

A State Department report on the Keystone XL pipeline that was issued under the Obama administration found that there would be 3,900 direct construction jobs if it was built over one year, or 1,950 if the work was spread over two years -- far fewer than Trump estimated when signing the order.

But the report also estimated there would be a total of 42,000 indirect jobs created -- for companies that sell products and services used to build the pipeline.

However, once the pipeline opens, the State Department found it would only require 35 full-time permanent jobs to run it and 15 full-time temporary jobs.

Dakota Access, for its part, estimates their pipeline would add 8,000 to 12,000 construction jobs, but only about 40 permanent positions. Those are the company's internal estimates.

Moreover, most of the approximately 1,200-mile pipeline has already been built. The remaining portion is a 1.5-mile stretch that would cross under Lake Oahe, north of the Standing Rock Sioux Reservation.

Verdict: TRUE BUT MISLEADING. By some estimates, construction of the two pipelines will create just north of 10,000 construction jobs and tens of thousands of indirect jobs. However, these are primarily temporary jobs. The number of permanent jobs created directly by the pipelines would be far lower.

_CNN's Rene Marsh and Chris Isidore contributed to this report._

Wall Street

REALITY CHECK: STOCK MARKET'S POST-ELECTION RALLY

By Matt Egan, CNNMoney

Trump cheered the enormous rally on Wall Street set off by his victory.

"The stock market has gained almost $3 trillion in value since the election on November 8, a record," Trump said.

The stock market is indeed on fire these days, in large part because of optimism about Trump's pro-business promises to cut taxes, roll back regulation and ramp up infrastructure spending. The 30-stock Dow has soared 2,500 points, or 13.5%, since the election.

In terms of dollar figures, the American stock market has gained $2.4 trillion since November 8, according to S&P Dow Jones Indices. That's based on a broad measure known as the S&P United States Broad Market Index. This gauge hit a new record this week of nearly $25 trillion.

However, Trump took a little too much liberty with the stock market increase, so our verdict is MOSTLY TRUE.

Terrorism

REALITY CHECK: TRUMP ON TERROR ATTACKS

By Laura Jarrett, CNN

"The vast majority of individuals convicted of terrorism and terrorism-related offenses since 9/11 came here from outside of our country," Trump said.

He cited Justice Department data. We asked the DOJ for the figures but they have yet to provide them.

By another measure, a 2016 report produced by then-Alabama Sen. Jeff Sessions, now Trump's attorney general, looks at individuals convicted in terror cases since 9/11. Using open sources, the report found that 380 out of 580 people convicted in terrorism and terrorism-related offenses since 9/11 were "foreign-born."

But according to an examination by the Cato Institute, the methodology of Sessions' report was flawed because 42% were not even for terrorism offenses -- many of them were simply terrorism-related tips that didn't pan out.

The New America Foundation also looked at trends over the last 15 years of who has carried out lethal terrorist attacks in the US. The data they examined showed it was not a "vast majority" from outside the country; it is, in fact, almost a 50-50 split. According to New America Foundation, about half were born in the US, and close to half were from abroad.

Verdict: FALSE.

Lobbying ban

REALITY CHECK: TRUMP ON FIVE-YEAR BAN ON LOBBYING BY EXECUTIVE BRANCH OFFICIALS

By Eve Bower, CNN

Trump boasted that he has already imposed "a five-year ban on lobbying by Executive Branch officials," fulfilling a campaign promise to "drain the swamp."

The reality is not that sweeping.

On January 28, 2017, Trump signed an executive order that restricts the future lobbying potential of all Trump appointees to Executive Branch offices. The order does indeed require appointees to sign a pledge that they will refrain from lobbying activities -- with the same agency where they were employed -- for five years following the end of their employment.

But the order does not ban lobbying across the board. Rather, according to the nonprofit Citizens for Responsibility and Ethics in Washington (CREW), the scope of this ban covers only a portion of the activities that lobbyists (and former executive branch officials) have been known to pursue. Specifically, former appointees may be allowed to engage in activities that the existing law -- the Lobbying Disclosure Act -- does define as lobbying when dealing with members of their former agencies.

The order also codifies the ultimate exception: a waiver capable of removing "any restrictions contained in the pledge signed by such person." According to CREW, under Trump's order, the need to disclose the granting of such a waiver is now "completely discretionary" and will not be granted by the Office of Management and Budget, but rather, by the {resident or his designee.

We rate this claim TRUE BUT MISLEADING.

Employment

REALITY CHECK: TRUMP ON 94 MILLION PEOPLE OUT OF THE JOB MARKET

By Patrick Gillespie, CNN

Trump cited a misleading statistic to cast the job market as weaker than it truly is.

"Tonight, as I outline the next steps we must take as a country, we must honestly acknowledge the circumstances we inherited. Ninety-four million Americans are out of the labor force," Trump said.

Here's the real deal on that stat: Actually, some 95.1 million people are not in the labor force, but the vast majority of them don't want a job, according to the most recent quarterly data from the Atlanta Federal Reserve. Some 44.1 million are retired, 15.4 million are disabled, 12.9 million are taking care of a family member and another 15.5 million are in college or job training. They are listed as not wanting a job.

But there are some people who want a job and can't find one.

Roughly 5.5 million people who are not in the labor force have looked for work in the past year or so. And another 7.6 million Americans looked for a job in the last month -- they are considered in the labor force, but unemployed.

We rate Trump's claim as TRUE BUT MISLEADING.

REALITY CHECK: TRUMP ON JOB CREATION

By Julia Horowitz, CNN

Trump also credited enthusiasm about the economy for the creation of thousands of jobs since his victory in November.

"Since my election, Ford, Fiat-Chrysler, General Motors, Sprint, Softbank, Lockheed, Intel, Walmart and many others have announced that they will invest billions and billions of dollars in the United States and will create tens of thousands of new American jobs," he said.

That's true at face value. But whether Trump actually sparked this flurry of job creation is more complicated.

In many instances, the jobs promoted were part of previously announced plans. Fiat Chrysler's announcement of factory investment creating 2,000 jobs is the latest phase in an "industrialization plan" announced a year ago and a 2015 deal with the United Auto Workers union.

Lockheed Martin said it would add 1,800 jobs to its F-35 fighter jet program but that is linked to production increases that have been in motion for years.

A company executive said General Motors' commitment to invest in factories and create or retain 7,000 jobs had also been in the works for some time.

In other cases, the jobs would likely have turned up no matter who's president. An Intel spokesperson said the company is investing in the Arizona factory because demand for the computer chip it will produce is picking up.

At the same time, executives have credited Trump's pro-business posture -- particularly his commitment to tax reform and deregulation.

"As the US manufacturing base increases its competitiveness, we are able to further increase our investment, resulting in more jobs for America and better results for our owners," GM CEO Mary Barra said in the company's announcement.

So while some of the jobs were going to be created even without the President intervening, there are signs he urged along the process in cases.

We rate the claim MOSTLY TRUE.

The F-35 fighter

REALITY CHECK: BRINGING DOWN THE PRICE OF THE F-35 JET FIGHTER

By Jon Ostrower

Trump kicked off his speech claiming he's already negotiating great deals.

"We've saved taxpayers hundreds of millions of dollars by bringing down the price of the fantastic -- and it is a fantastic -- new F-35 jet fighter," he said.

Here's the deal:

The Defense Department and Lockheed Martin, manufacturer of the F-35 Lightning II Joint Strike Fighter, on February 4 agreed on a deal for 90 more stealth fighter aircraft with an $8.5 billion price tag.

Lockheed credited Trump, who held meetings and calls with Lockheed's CEO Marillyn Hewson to discuss the purchase with helping to "accelerate negotiations" and "drive down the price" of the approximately $400 billion program.

According to Lockheed, the latest agreement slashed $728 million (or roughly 8% less) compared to the Pentagon's last purchase. But that reflected the continued, and expected, decline in costs of the fighter as Lockheed Martin increased production.

That final price agreement of $8.5 billion was not significantly different from what the Department of Defense and the fighter program's military leadership anticipated prior to the election.

For that reason, we rate the claim as TRUE BUT MISLEADING.

Defense spending

REALITY CHECK: IS TRUMP'S DEFENSE SPENDING INCREASE ONE OF THE LARGEST?

By Jeanne Sahadi, CNN

Trump characterized his proposal to increase the defense budget as "one of the largest increases in national defense spending in American history."

His budget blueprint for 2018 will call for a 10% -- or $54 billion -- increase over the $549 billion set for next year.

In terms of sheer dollars, Trump's $54 billion increase is one of the biggest, according to the Committee for a Responsible Federal Budget. But that's not a meaningful measure, CRFB notes, since "$54 billion today is worth far less than $54 billion a century ago."

Percentage wise, his proposed increase isn't even in the top 10 since 1940, CRFB found.

So is Trump's proposed increase really one of the largest in US history? It depends how it's measured.

Verdict: TRUE BUT MISLEADING

_This story has been updated._

question: Who fact-checked President Trump's speech to a joint session of Congress?

answer: CNN's Reality Check Team

question: How were Trump's statements rated?

answer: The team of reporters rated them as true, mostly true, true but misleading, or false.Su

question: Who was President Trump addressing?

answer: A joint session of Congress

question: Summarize everything related to what Trump addressed.

answer: Trump made statements about murder rates, Pipeline jobs, Stock Market, Terrorism, Lobbying, Defense Spending and Employment.

question: Write a ~2 sentence summary.

answer: CNN's Reality Check Team analyzed President Trump's speech in a joint session of congress. The team of reporters rated various topics and fact-checked his key statements.


text:
KAFILUDDIN CHOWDHURY was a Bangladesh Awami League politician and former member of Provincial and National Assembly of Pakistan.[1]

Early life

Chowdhury was born in 1898 in Dayhata Majidpur, Srinagar, Munshiganj. He graduated from Hasara Kalikishore High School. He finished his law degree in Kolkata.[2]

Career

Chowdhury started his legal career in Munshiganj sub-divisional court. He moved his practice to Dhaka. He started his political career in the Krishak Praja Party of AK Fazlul Huq. He campaigned for the Movement for Pakistan In 1954 he was elected to the provincial assembly. He served as the Minister of Law, Forest, Roads and Communication, and Land ministries in the provincial government of East Pakistan.[3]

He was imprisoned after president Ayub Khan declared Martial Law. He was elected to the National assembly in 1970. He crossed over to India during Bangladesh Liberation War.[4]

Death and legacy

In November 1971 he had a heart attacked. He moved to independent Bangladesh after the war on 31 January 1972. He died on 12 May 1972. His son Badruddoza Chowdhury would become the 13th President of Bangladesh for a short stint of only six(6) and a half months.[5]

[1]

[2]

[3]

[4]

[5]

title: Kafiluddin Chowdhury

question: Who was Kafiluddin Chowdhury?

answer: He was a Bangladesh Awami League politician and former member of Provincial and National Assembly of Pakistan.

question: What career's did Awami hold?

answer: He held both political and legal careers in Pakistan.

question: When did Chowdhury cross over to India?

answer: He crossed over to India during the Bangladesh Liberation War.

question: How did Chowdhury die?

answer: He died of a heart attack.

question: Who would become the 13th President of Bangladesh?

answer: Chowdhury's son, Badruddoza Chowdhury, would become the 13th President of Bangladesh.

question: Write a ~1 sentence summary.

answer: This article describes Kafiluddin Chowdhury's political career, along with his death and legacy.


text:
MACHINE-LEARNING is beginning to shake up finance. A subset of artificial intelligence (AI) that excels at finding patterns and making predictions, it used to be the preserve of technology firms. The financial industry has jumped on the bandwagon. To cite just a few examples, “heads of machine-learning” can be found at PwC, a consultancy and auditing firm, at JP Morgan Chase, a large bank, and at Man GLG, a hedge-fund manager. From 2019, anyone seeking to become a “chartered financial analyst”, a sought-after distinction in the industry, will need AI expertise to pass his exams.

Despite the scepticism of many, including, surprisingly, some “quant” hedge funds that specialise in algorithm-based trading, machine-learning is poised to have a big impact. Innovative fintech firms and a few nimble incumbents have started applying the technique to everything from fraud protection to finding new trading strategies—promising to up-end not just the humdrum drudgery of the back-office, but the more glamorous stuff up-front.

Machine-learning is already much used for tasks such as compliance, risk management and fraud prevention. Intelligent Voice, a British firm, sells its machine-learning-driven speech-transcription tool to large banks to monitor traders’ phone calls for signs of wrongdoing, such as insider trading. Other specialists, like Xcelerit or Kinetica, offer banks and investment firms near-real-time tracking of their risk exposures, allowing them to monitor their capital requirements at all times.

Machine-learning excels in spotting unusual patterns of transactions, which can indicate fraud. Firms ranging from startups such as Feedzai (for payments) or Shift Technology (for insurance) to behemoths such as IBM are offering such services. Some are developing the skills in-house. Monzo, a British banking startup, built a model quick enough to stop would-be fraudsters from completing a transaction, bringing the fraud rate on its pre-paid cards down from 0.85% in June 2016 to less than 0.1% by January 2017.

Natural-language processing, where AI-based systems are unleashed on text, is starting to have a big impact in document-heavy parts of finance. In June 2016 JPMorgan Chase deployed software that can sift through 12,000 commercial-loan contracts in seconds, compared with the 360,000 hours it used to take lawyers and loan officers to review the contracts.

Machine-learning is also good at automating financial decisions, whether assessing creditworthiness or eligibility for an insurance policy. Zest Finance has been in the business of automated credit-scoring since its founding in 2009. Earlier this year it rolled out a machine-learning underwriting tool to help lenders make credit decisions, even for people with little conventional credit-scoring information. It sifts through vast amounts of data, such as people’s payment history or how they interact with a lender’s website. Lemonade, a tech-savvy insurance startup, is using machine-learning both to sell insurance policies and to manage claims.

Perhaps the newest frontier for machine-learning is in trading, where it is used both to crunch market data and to select and trade portfolios of securities. The quantitative-investment strategies division at Goldman Sachs uses language processing driven by machine-learning to go through thousands of analysts’ reports on companies. It compiles an aggregate “sentiment score” based on the balance of positive to negative words. This score is then used to help pick stocks. Goldman has also invested in Kensho, a startup that uses machine-learning to predict how events like natural disasters will affect market prices, based on data on similar events.

Quantifiable progress

Quant hedge funds, both new and old, are piling in. Castle Ridge Asset Management, a Toronto-based upstart, has achieved annual average returns of 32% since its founding in 2013. It uses a sophisticated machine-learning system, like those used to model evolutionary biology, to make investment decisions. It is so sensitive, claims the firm’s chief executive, Adrian de Valois-Franklin, that it picked up 24 acquisitions before they were even announced (because of telltale signals suggesting a small amount of insider trading). Man AHL, meanwhile, a well-established $18.8bn quant fund provider, has been conducting research into machine-learning for trading purposes since 2009, and using it as one of the techniques to manage client money since 2014.

So it seems odd that some prominent quant funds are machine-learning sceptics. Martin Lueck of Aspect Capital finds the technique overrated, saying his firm has found only limited useful applications for it. David Siegel, co-founder of Two Sigma, a quant behemoth, and David Harding of Winton Capital, have also argued that the techniques are overhyped.

In other fields, however, machine-learning has game-changing potential. There is no reason to expect finance to be different. According to Jonathan Masci of Quantenstein, a machine-learning fund manager, years of work on rules-based approaches in computer vision—telling a computer how to recognise a nose, say—were swiftly eclipsed in 2012 by machine-learning processes that allowed computers to “learn” what a nose looked like from perusing millions of nasal pin-ups. Similarly, says Mr Masci, a machine-learning algorithm ought to beat conventional trading strategies based on rules set by humans.

The real vulnerability may in any case lie outside trading. Many quant funds depend on human researchers to sift through data and build algorithms. These posts could be replaced by better-performing machines. For all their professed scepticism, Two Sigma and its peers are busy recruiting machine-learning specialists.

This article appeared in the Finance & economics section of the print edition under the headline "Unshackled algorithms"

question: Summarize how the finance sector has benefited from machine-learning systems.

answer: Machine-learning has helped banks with tasks such as compliance, risk management and fraud prevention. Large banks have used it as a tool to monitor traders' phone calls to prevent wrongdoings like insider trading. One bank has benefited by bringing the fraud rate down from 0.85% to 0.1% in just six months. Some businesses have used machine-learning to automate financial decisions such as creditworthiness or eligibility. The newest frontier has been in trading where machine-learning tools go through thousands of analysts' reports on companies to help pick investment stocks.


text:
A solitary light flickered above the door in the otherwise pitch black darkness of the camp as the rain poured down. The door burst open, and Seo-yun emerged into the night with a rifle in one hand and a fist full of hair in the other. The boy remain silent as Seo-yun dragged him across the yard and threw his face down into a large, muddy pool that had collected. As he started to get up, Seo-yun placed a large black boot at the nape of his neck and stepped down hard. “You filthy cockroach” Seo-yun sneered, “You disgust me. You think you can steal food?”

Seo-yun wasn’t sure what it was about this boy in particular that displeased him. Something about him seemed sneaky, or maybe it was just the boy’s face. Whatever it was, it was enough for Seo-yun to pay special attention to this one.

“You know, I think I’m through with your attitude you sniveling little shit.” Seo-yun swung his rifle around at the boy who looked up but did not react, not even in the slightest. It was this attitude that angered Seo-yun; this indifference to pain and death. “Get up.” He said. Slowly the boy stood, his eyes looking straight at Seo-yun’s. There was no fear or anger there, just a blank stare, as if to prove that nothing Seo-yun did mattered to him. “We shall see,” thought Seo-yun.

He motioned down the path with the tip of his rifle. The air was silent except for the hush of rain as they headed down the walkway to a large metal tube at the bottom of the hill. It was about four and a half feet tall, too short to stand up in, but also to narrow to sit down. Seo-yun motioned to the handle. The boy grasped it, swung the face of the tube open, stepped inside, and look out at Seo-yun. His face was a stone.

Seo-yun looked back at him, standing there in the tube. “What a pathetic creature,” though Seo-yun. The boy was desperately skinny, more so than most of the prisoners. The bones in his arms and face protruded unnaturally. His thin, oily hair dripped rain down across his sunken, lifeless eyes. Those eyes; that was what Seo-yun hated the most. He slammed the door shut saw the boy staring back through the little slot in the face of the door. Leaning forward, Seo-yun stared right back, and laughing, slid the slot closed.

It was a long wet walk up to the barracks at the top of the hill. As he entered through the gate Seo-yun strolled silently past the scribe he was supposed to inform of the prisoner he’d put in the box. “Screw it,” he though, “let that little rat rot in there for an extra day, that nasty little thief.” He headed down the hallway to a small neat room about halfway down. As soon as his head hit the pillow Seo-yun was drifting off without a single though of the boy passing through his mind.

He was standing. It was completely dark, the kind of dark that makes you close and open your eyes to see if you can tell the difference. He couldn’t. There was something else too. It was cold and very quiet. Seo-yun couldn’t make out a single sound, except…his breathing was echoing around him. He went to raise his hand, but to his surprise his knuckles struck something. Startled, he leaned back, and the tube made a low metallic note as the back of his head struck it. Realization dawning on him, Seo-yun panicked and began thrashing, but the prison was so small every movement was punished immediately with the pain of striking that cold, unforgiving metal surface.

He was dreaming, had to be. How else would he have ended up in here? Seo-yun had no memory of being moved after he had fallen asleep. It sure didn’t feel like a dream though. It felt real, very real, and scary as fuck. Maybe one of the prisoners had knocked him over the head while he was asleep, or drugged him somehow. “And dragged you down out of the barracks past ten guards?” Though Seo-yun. No, that didn’t make any sense, and if the barracks had somehow been overtaken he surely would have woken. “Hey!” yelled Seo-yun, “HEEEEEEYYYY!” The sound echoed deafeningly all around him inside the tiny metal cage.

Hours passed, then days. At least, that was what Seo-yun guessed. He couldn’t be sure. Normally the sun would strike the tube and turn it into a furnace, cooking the prisoners, but there had been no heat or light. Then again, Seo-yun couldn’t be sure what was real anymore. The sensory deprivation was taking its toll on Seo-yun’s mind and he knew it. Brief flashes of thing he done at the prison flashed before his eyes; the pool of blood from the senile old man he had struck across the head for moving too slowly in the wash room, the look in the eyes of the young girl he had forced to perform oral sex. These scenes were bursting across his vision like camera flashes, swirling around him. Moaning, Seo-yun rest his forehead against the metal tube. He couldn’t take anymore. His body was in agony from the constant standing. Thirst burned mercilessly down his throat, and his mind was tearing itself apart. Then, without warning, the slot in front of his eyes opened.

Before him lay more darkness, but not the kind that had surrounded him in the tube. It was night outside, and he could see the silhouette of the figure that stood before him, perfectly still, not making a sound. Seo-yun studied the outline, and slowly recognition dawned on him. The boy! Seo-yuns burst out screaming, trying to cram in so many obscenities and threats that they melded into nonsensical babbling.

The boy remained silent and totally still, not reacting in the least to Seo-yuns outburst. Then, slowly, he leaned forward. Seo-yun, caught off guard by this, suddenly fell silent and peered back at the boy out of the tiny slot. The boy’s face approached, and the eyes, caught by a glint of moonlight, shined back at Seo-yun, who felt a sudden horror rising within him. Within those sunken eyes Seo-yun could see the pupils were not round, but long and rectangular, like they eyes of a goat.

The slot closed.

title: Justice

question: Had the boy committed a crime?

answer: The boy had stolen food.

question: What did Seo-Yun not like about the boy?

answer: Seo-Yun was disgusted by the boy. Seo-Yun wondered if it was the boy's sneaky attitude or just his face.

question: Where was Seo-Yun?

answer: Seo-Yun was in the tube he left the boy in. He had no memory of coming here.

question: Does Seo-Yun make it out?

answer: No.

question: Write a ~6 sentence summary.

answer:
Seo-Yun leaves the camp with the boy. He just couldn't stand the boy, Seo-Yun wondered if it was his sneaky attitude or just his face.

They reach the tiny tube and Seo-Yun pushes the boy inside and locks him. As Seo-Yun reaches back to the camp and hits the bed. He wakes up in the same tube as the boy and wonders how he got there.

Seo-Yun catches the boy's eyes approaching the tiny slot in the tube and the boy comes and shuts it.


text:
_ALLOBACULUM STERCORICANIS_ is an anaerobic, non-spore-forming and rod-shaped bacterium from the genus of Allobaculum which has been isolated from feces from a dog.[1][2]´[3][4]

[1]

[2]

[3]

[4]

title: Allobaculum stercoricanis

question: Write a ~0 sentence summary.


text:
[_Ricoh Arena_ (Coventry)] The 2017 CHAMPIONSHIP LEAGUE was a professional non-ranking snooker tournament that took place from 2 January to 2 March 2017 at the Ricoh Arena in Coventry, England.[1]

Judd Trump was the defending champion, and he made it to the semi-finals, where he lost 2–3 to John Higgins.

The Scotsman then won the final, clinching his first Championship League title with a 3–0 win over Ryan Day. The Welshman took the largest share of the prize money thanks to a lucrative campaign through six groups before qualifying for the winners' group.

Mark Davis made the 127th official maximum break in the deciding 5th frame of his group 3 final against Neil Robertson. This was Davis' first official 147 break and the ninth of the 2016/2017 season. Davis also became the oldest player to make an official 147, at the age of 44.[2] He surpassed the record set by Fergal O'Brien, who scored the first maximum of his career at the age of 43 in a Championship League round robin match against Davis in the previous season.[3] Later on, Davis made the 129th official maximum break in the deciding 5th frame of his Winners' Group round robin match against John Higgins. It was Davis' second official 147 break and the eleventh of the 2016/2017 season. With that, Davis became the first player to make two maximum breaks in a tournament. It was the fourth consecutive year that a maximum was made in the Championship League.[4][5][6]

Prize fund

The breakdown of prize money for this year is shown below.[7]

-   Group 1–7
    -   Winner: £3,000
    -   Runner-up: £2,000
    -   Semi-final: £1,000
    -   Frame-win (league stage): £100
    -   Frame-win (play-offs): £300
    -   Highest break: £500

-   Winners' group
    -   Winner: £10,000
    -   Runner-up: £5,000
    -   Semi-final: £3,000
    -   Frame-win (league stage): £200
    -   Frame-win (play-offs): £300
    -   Highest break: £1,000

-   Tournament total: £181,800

Group 1

Group 1 was played on 2 and 3 January 2017.[8] David Gilbert was the first player to qualify for the winners group.

Matches

-   Anthony McGill 2–3 DAVID GILBERT
-   Ryan Day 1–3 MATTHEW SELT
-   Ben Woollaston 0–3 ANTHONY MCGILL
-   Mark Davis 2–3 ROBERT MILKINS
-   David Gilbert 0–3 RYAN DAY
-   MARK DAVIS 3–1 Matthew Selt
-   Robert Milkins 2–3 BEN WOOLLASTON

-   ANTHONY MCGILL 3–1 Ryan Day
-   DAVID GILBERT 3–1 Matthew Selt
-   Mark Davis 1–3 BEN WOOLLASTON
-   Robert Milkins 1–3 MATTHEW SELT
-   RYAN DAY 3–1 Ben Woollaston
-   ANTHONY MCGILL 3–1 Robert Milkins
-   David Gilbert 2–3 MARK DAVIS

-   RYAN DAY 3–1 Robert Milkins
-   MATTHEW SELT 3–2 Ben Woollaston
-   Anthony McGill 1–3 MARK DAVIS
-   DAVID GILBERT 3–2 Ben Woollaston
-   Ryan Day 2–3 MARK DAVIS
-   DAVID GILBERT 3–0 Robert Milkins
-   ANTHONY MCGILL 3–2 Matthew Selt

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team1=AAA |team2=BBB |team3=FFF |team4=CCC |team5=DDD |team6=EEE |team7=GGG |name_AAA= Anthony McGill |name_BBB= Mark Davis |name_CCC= Ryan Day |name_DDD= Matthew Selt |name_EEE= Ben Woollaston |name_FFF= David Gilbert |name_GGG= Robert Milkins

|win_AAA=4 |loss_AAA=2 |gf_AAA=15 |ga_AAA=10 |win_BBB=4 |loss_BBB=2 |gf_BBB=15 |ga_BBB=12 |win_CCC=3 |loss_CCC=3 |gf_CCC=13 |ga_CCC=11 |win_DDD=3 |loss_DDD=3 |gf_DDD=13 |ga_DDD=13 |win_EEE=2 |loss_EEE=4 |gf_EEE=11 |ga_EEE=15 |win_FFF=4 |loss_FFF=2 |gf_FFF=14 |ga_FFF=11 |win_GGG=1 |loss_GGG=5 |gf_GGG=8 |ga_GGG=17

|split4=yes |split5=yes |status_BBB=Q|status_FFF=Q|status_CCC=Q|status_AAA=Q|status_DDD=A|status_EEE=E|status_GGG=E |col_WC=green1 |text_WC=Qualification to Group 1 play-off |col_PO=blue1 |text_PO=Advances into Group 2 |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=PO |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Anthony McGill |2 | Ryan Day |3 || Mark Davis |1 | David Gilbert |3 || Ryan Day |2 | David Gilbert |3 }}

Group 2

Group 2 was played on 4 and 5 January 2017.[9] Anthony McGill was the second player to qualify for the winners group.

Matches

-   Mark Williams 1–3 NEIL ROBERTSON
-   Michael White 1–3 MATTHEW SELT
-   ANTHONY MCGILL 3–0 Mark Williams
-   Mark Davis 2–3 RYAN DAY
-   NEIL ROBERTSON 3–1 Michael White
-   Matthew Selt 0–3 MARK DAVIS
-   RYAN DAY 3–1 Anthony McGill

-   MARK WILLIAMS 3–0 Michael White
-   Neil Robertson 1–3 MATTHEW SELT
-   MARK DAVIS 3–1 Anthony McGill
-   RYAN DAY 3–0 Matthew Selt
-   Michael White 2–3 ANTHONY MCGILL
-   Mark Williams 1–3 RYAN DAY
-   NEIL ROBERTSON 3–2 Mark Davis

-   MICHAEL WHITE 3–2 Ryan Day
-   Matthew Selt 2–3 ANTHONY MCGILL
-   Mark Williams 2–3 MARK DAVIS
-   NEIL ROBERTSON 3–2 Anthony McGill
-   Michael White 2–3 MARK DAVIS
-   NEIL ROBERTSON 3–1 Ryan Day
-   MARK WILLIAMS 3–1 Matthew Selt

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team3=BBB |team2=CCC |team1=AAA |team4=DDD |team6=EEE |team5=FFF |team7=GGG |name_AAA= Neil Robertson |name_BBB= Ryan Day |name_CCC= Mark Davis |name_DDD= Anthony McGill |name_EEE= Matthew Selt |name_FFF= Mark Williams |name_GGG= Michael White

|win_AAA=5 |loss_AAA=1 |gf_AAA=16 |ga_AAA=10 |win_BBB=4 |loss_BBB=2 |gf_BBB=15 |ga_BBB=10 |win_CCC=4 |loss_CCC=2 |gf_CCC=16 |ga_CCC=11 |win_DDD=3 |loss_DDD=3 |gf_DDD=13 |ga_DDD=13 |win_EEE=2 |loss_EEE=4 |gf_EEE=9 |ga_EEE=14 |win_FFF=2 |loss_FFF=4 |gf_FFF=10 |ga_FFF=13 |win_GGG=1 |loss_GGG=5 |gf_GGG=9 |ga_GGG=17

|split4=yes |split5=yes |status_AAA=Q|status_BBB=Q|status_CCC=Q|status_DDD=Q|status_EEE=E|status_FFF=A|status_GGG=E |col_WC=green1 |text_WC=Qualification to Group 2 play-off |col_PO=blue1 |text_PO=Advances into Group 3 |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=PO |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Neil Robertson |1| Anthony McGill |3 || Mark Davis |2| Ryan Day |3 || Anthony McGill |3| Ryan Day |0 }}

Group 3

Group 3 was played on 9 and 10 January 2017.[10] Mark Davis was the third player to qualify for the winners group, finishing with a maximum break in the fifth frame decider against Neil Robertson in the group play-off final.

Matches

-   Joe Perry 2–3 BARRY HAWKINS
-   ALI CARTER 3–1 Mark Williams
-   NEIL ROBERTSON 3–1 Joe Perry
-   Mark Davis 2–3 RYAN DAY
-   BARRY HAWKINS 3–0 Ali Carter
-   Mark Williams 0–3 MARK DAVIS
-   RYAN DAY 3–2 Neil Robertson

-   Joe Perry 0–3 ALI CARTER
-   Barry Hawkins 0–3 MARK WILLIAMS
-   MARK DAVIS 3–2 Neil Robertson
-   Ryan Day 2–3 MARK WILLIAMS
-   Ali Carter 0–3 NEIL ROBERTSON
-   Joe Perry 1–3 RYAN DAY
-   BARRY HAWKINS 3–1 Mark Davis

-   Ali Carter 2–3 RYAN DAY
-   Mark Williams 2–3 NEIL ROBERTSON
-   Joe Perry 1–3 MARK DAVIS
-   Barry Hawkins 0–3 NEIL ROBERTSON
-   Ali Carter 0–3 MARK DAVIS
-   BARRY HAWKINS 3–1 Ryan Day
-   JOE PERRY 3–1 Mark Williams

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team7=AAA |team4=BBB |team6=CCC |team5=DDD |team1=EEE |team2=FFF |team3=GGG |name_AAA= Joe Perry |name_BBB= Barry Hawkins |name_CCC= Ali Carter |name_DDD= Mark Williams |name_EEE= Neil Robertson |name_FFF= Mark Davis |name_GGG= Ryan Day

|win_AAA=1 |loss_AAA=5 |gf_AAA=8 |ga_AAA=16 |win_BBB=4 |loss_BBB=2 |gf_BBB=12 |ga_BBB=10 |win_CCC=2 |loss_CCC=4 |gf_CCC=8 |ga_CCC=13 |win_DDD=2 |loss_DDD=4 |gf_DDD=10 |ga_DDD=14 |win_EEE=4 |loss_EEE=2 |gf_EEE=16 |ga_EEE=9 |win_FFF=4 |loss_FFF=2 |gf_FFF=15 |ga_FFF=9 |win_GGG=4 |loss_GGG=2 |gf_GGG=15 |ga_GGG=13

|split4=yes |split5=yes |status_AAA=E|status_EEE=Q|status_GGG=Q|status_FFF=Q|status_BBB=Q|status_CCC=E|status_DDD=A| |col_WC=green1 |text_WC=Qualification to Group 3 play-off |col_PO=blue1 |text_PO=Advances into Group 4 |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=PO |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Neil Robertson|3 | Barry Hawkins|1 || Mark Davis|3 | Ryan Day|2 || Neil Robertson|2 | Mark Davis|3 }}

Group 4

Group 4 was played on 11 and 12 January 2017.[11] Barry Hawkins was the fourth player to qualify for the winners group.

Matches

-   SHAUN MURPHY 3–2 Mark Allen
-   Kyren Wilson 0–3 MARK WILLIAMS
-   BARRY HAWKINS 3–1 Shaun Murphy
-   RYAN DAY 3–2 Neil Robertson
-   Mark Allen 1–3 KYREN WILSON
-   MARK WILLIAMS 3–1 Ryan Day
-   Neil Robertson 2–3 BARRY HAWKINS

-   SHAUN MURPHY 3–1 Kyren Wilson
-   Mark Allen 1–3 MARK WILLIAMS
-   Barry Hawkins 1–3 RYAN DAY
-   NEIL ROBERTSON 3–1 Mark Williams
-   Kyren Wilson 0–3 BARRY HAWKINS
-   Shaun Murphy 1–3 NEIL ROBERTSON
-   Mark Allen 0–3 RYAN DAY

-   KYREN WILSON 3–2 Neil Robertson
-   Mark Williams 1–3 BARRY HAWKINS
-   SHAUN MURPHY 3–0 Ryan Day
-   Mark Allen 1–3 BARRY HAWKINS
-   KYREN WILSON 3–2 Ryan Day
-   MARK ALLEN 3–1 Neil Robertson
-   Shaun Murphy 2–3 MARK WILLIAMS

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team3=AAA |team7=BBB |team5=CCC |team2=DDD |team1=EEE |team4=FFF |team6=GGG |name_AAA= Shaun Murphy |name_BBB= Mark Allen |name_CCC= Kyren Wilson |name_DDD= Mark Williams |name_EEE= Barry Hawkins |name_FFF= Ryan Day |name_GGG= Neil Robertson

|win_AAA=3 |loss_AAA=3 |gf_AAA=13 |ga_AAA=12 |win_BBB=1 |loss_BBB=5 |gf_BBB=8 |ga_BBB=16 |win_CCC=3 |loss_CCC=3 |gf_CCC=10 |ga_CCC=14 |win_DDD=4 |loss_DDD=2 |gf_DDD=14 |ga_DDD=10 |win_EEE=5 |loss_EEE=1 |gf_EEE=16 |ga_EEE=8 |win_FFF=3 |loss_FFF=3 |gf_FFF=12 |ga_FFF=12 |win_GGG=2 |loss_GGG=4 |gf_GGG=13 |ga_GGG=14

|split4=yes |split5=yes |status_AAA=Q|status_BBB=E|status_CCC=A|status_DDD=Q|status_EEE=Q|status_FFF=Q|status_GGG=E |col_WC=green1 |text_WC=Qualification to Group 4 play-off |col_PO=blue1 |text_PO=Advances into Group 5 |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=PO |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Barry Hawkins |3| Ryan Day |2 || Mark Williams|3 | Shaun Murphy|0 || Barry Hawkins|3 | Mark Williams|0 }}

Group 5

Group 5 was played on 20 and 21 February 2017.[12] Judd Trump was the fifth player to qualify for the winners group.

Matches

-   Stuart Bingham 2–3 JUDD TRUMP
-   LIANG WENBO 3–1 Kyren Wilson
-   Ryan Day 0–3 STUART BINGHAM
-   Shaun Murphy 2–3 MARK WILLIAMS
-   JUDD TRUMP 3–2 Liang Wenbo
-   Kyren Wilson 2–3 SHAUN MURPHY
-   Mark Williams 2–3 RYAN DAY

-   STUART BINGHAM 3–1 Liang Wenbo
-   JUDD TRUMP 3–0 Kyren Wilson
-   Shaun Murphy 1–3 RYAN DAY
-   MARK WILLIAMS 3–1 Kyren Wilson
-   Liang Wenbo 0–3 RYAN DAY
-   Stuart Bingham 2–3 MARK WILLIAMS
-   JUDD TRUMP 3–2 Shaun Murphy

-   Liang Wenbo 1–3 MARK WILLIAMS
-   KYREN WILSON 3–0 Ryan Day
-   Stuart Bingham 1–3 SHAUN MURPHY
-   JUDD TRUMP 3–1 Ryan Day
-   Liang Wenbo 0–3 SHAUN MURPHY
-   JUDD TRUMP 3–2 Mark Williams
-   Stuart Bingham 0–3 KYREN WILSON

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team1=BBB |team2=GGG |team3=EEE |team4=FFF |team5=AAA |team6=DDD |team7=CCC |name_AAA= Stuart Bingham |name_BBB= Judd Trump |name_CCC= Liang Wenbo |name_DDD= Kyren Wilson |name_EEE= Shaun Murphy |name_FFF= Ryan Day |name_GGG= Mark Williams

|win_AAA=2 |loss_AAA=4 |gf_AAA=11 |ga_AAA=13 |win_BBB=6 |loss_BBB=0 |gf_BBB=18 |ga_BBB=9 |win_CCC=1 |loss_CCC=5 |gf_CCC=7 |ga_CCC=16 |win_DDD=2 |loss_DDD=4 |gf_DDD=10 |ga_DDD=12 |win_EEE=3 |loss_EEE=3 |gf_EEE=14 |ga_EEE=12 |win_FFF=3 |loss_FFF=3 |gf_FFF=10 |ga_FFF=12 |win_GGG=4 |loss_GGG=2 |gf_GGG=16 |ga_GGG=12

|split4=yes |split5=yes

|status_AAA=A|status_BBB=Q|status_CCC=E|status_DDD=E|status_EEE=Q|status_FFF=Q|status_GGG=Q

|col_WC=green1 |text_WC=Qualification to Group 5 play-off |col_PO=blue1 |text_PO=Advances into Group 6 |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=PO |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Judd Trump|3 | Ryan Day |0 || Mark Williams|3 | Shaun Murphy |0 || Judd Trump |3 | Mark Williams |0 }}

Group 6

Group 6 was played on 22 and 23 February 2017. Ryan Day was the sixth player to qualify for the winners group. It was also his sixth try, as he had been part of the tournament since the first group was played out.

Matches

-   Mark Selby 1–3 RICKY WALDEN
-   MARTIN GOULD 3–2 Stuart Bingham
-   Ryan Day 0–3 MARK SELBY
-   SHAUN MURPHY 3–2 Mark Williams
-   RICKY WALDEN 3–2 Martin Gould
-   STUART BINGHAM 3–1 Shaun Murphy
-   MARK WILLIAMS 3–2 Ryan Day

-   Mark Selby 0–3 MARTIN GOULD
-   Ricky Walden 2–3 STUART BINGHAM
-   Shaun Murphy 0–3 RYAN DAY
-   Mark Williams 0–3 STUART BINGHAM
-   Martin Gould 1–3 RYAN DAY
-   Mark Selby 2–3 MARK WILLIAMS
-   Ricky Walden 0–3 SHAUN MURPHY

-   MARTIN GOULD 3–2 Mark Williams
-   Stuart Bingham 1–3 RYAN DAY
-   MARK SELBY 3–0 Shaun Murphy
-   RICKY WALDEN 3–2 Ryan Day
-   MARTIN GOULD 3–1 Shaun Murphy
-   RICKY WALDEN 3–1 Mark Williams
-   MARK SELBY 3–1 Stuart Bingham

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team1=CCC |team2=BBB |team4=DDD |team6=GGG |team3=EEE |team5=AAA |team7=FFF |name_AAA= Mark Selby |name_BBB= Ricky Walden |name_CCC= Martin Gould |name_DDD= Stuart Bingham |name_EEE= Ryan Day |name_FFF= Shaun Murphy |name_GGG= Mark Williams

|win_AAA=3 |loss_AAA=3 |gf_AAA=12 |ga_AAA=10 |win_BBB=4 |loss_BBB=2 |gf_BBB=14 |ga_BBB=12 |win_CCC=4 |loss_CCC=2 |gf_CCC=15 |ga_CCC=11 |win_DDD=3 |loss_DDD=3 |gf_DDD=13 |ga_DDD=12 |win_EEE=3 |loss_EEE=3 |gf_EEE=13 |ga_EEE=11 |win_FFF=2 |loss_FFF=4 |gf_FFF=8 |ga_FFF=14 |win_GGG=2 |loss_GGG=4 |gf_GGG=11 |ga_GGG=16

|split4=yes |split5=yes |status_AAA=A |status_BBB=Q |status_CCC=Q |status_DDD=Q |status_EEE=Q |status_FFF=E |status_GGG=E |col_WC=green1 |text_WC=Qualification to Group 6 play-off |col_PO=blue1 |text_PO=Advances into Group 7 |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=PO |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Martin Gould |3 | Stuart Bingham |1 || Ricky Walden |2 | Ryan Day |3 || Martin Gould |1 | Ryan Day |3 }}

Group 7

Group 7 was played on 27 and 28 February 2017. John Higgins was the seventh and final player to qualify for the winners group.

Matches

-   JOHN HIGGINS 3–2 Michael Holt
-   Graeme Dott 1–3 MARK SELBY
-   STUART BINGHAM 3–2 John Higgins
-   Ricky Walden 2–3 MARTIN GOULD
-   MICHAEL HOLT 3–2 Graeme Dott
-   MARK SELBY 3–0 Ricky Walden
-   Martin Gould 0–3 STUART BINGHAM

-   JOHN HIGGINS 3–2 Graeme Dott
-   MICHAEL HOLT 3–1 Mark Selby
-   Ricky Walden 2–3 STUART BINGHAM
-   MARTIN GOULD 3–1 Mark Selby
-   Graeme Dott 0–3 STUART BINGHAM
-   JOHN HIGGINS 3–1 Martin Gould
-   Michael Holt 2–3 RICKY WALDEN

-   GRAEME DOTT 3–0 Martin Gould
-   Mark Selby 0–3 STUART BINGHAM
-   JOHN HIGGINS 3–1 Ricky Walden
-   Michael Holt 0–3 STUART BINGHAM
-   Graeme Dott 1–3 RICKY WALDEN
-   MICHAEL HOLT 3–1 Martin Gould
-   John Higgins 1–3 MARK SELBY

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team1=EEE |team2=AAA |team3=BBB |team5=FFF |team7=CCC |team6=GGG |team4=DDD |name_AAA= John Higgins |name_BBB= Michael Holt |name_CCC= Graeme Dott |name_DDD= Mark Selby |name_EEE= Stuart Bingham |name_FFF= Ricky Walden |name_GGG= Martin Gould

|win_AAA=4 |loss_AAA=2 |gf_AAA=15 |ga_AAA=12 |win_BBB=3 |loss_BBB=3 |gf_BBB=13 |ga_BBB=13 |win_CCC=1 |loss_CCC=5 |gf_CCC=9 |ga_CCC=15 |win_DDD=3 |loss_DDD=3 |gf_DDD=11 |ga_DDD=11 |win_EEE=6 |loss_EEE=0 |gf_EEE=18 |ga_EEE=4 |win_FFF=2 |loss_FFF=4 |gf_FFF=11 |ga_FFF=15 |win_GGG=2 |loss_GGG=4 |gf_GGG=8 |ga_GGG=15

|split4=yes |status_AAA=Q |status_BBB=Q |status_CCC=E |status_DDD=Q |status_EEE=Q |status_FFF=E |status_GGG=E |col_WC=green1 |text_WC=Qualification to Group 7 play-off |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=rel |result6=rel |result7=rel

|source= }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Stuart Bingham |2 | Mark Selby |3 || John Higgins |3 | Michael Holt |2 || Mark Selby |0 | John Higgins |3 }}

Winners' Group

The Winners' Group was played on 1 and 2 March 2017. In the final, John Higgins defeated Ryan Day 3–0 to win the Championship League title for the first time in his career.

Matches

-   DAVID GILBERT 3–0 Anthony McGill
-   Mark Davis 1–3 BARRY HAWKINS
-   JUDD TRUMP 3–0 David Gilbert
-   RYAN DAY 3–2 John Higgins
-   Anthony McGill 0–3 MARK DAVIS
-   BARRY HAWKINS 3–2 Ryan Day
-   JOHN HIGGINS 3–1 Judd Trump

-   David Gilbert 1–3 MARK DAVIS
-   ANTHONY MCGILL 3–1 Barry Hawkins
-   Ryan Day 1–3 JUDD TRUMP
-   John Higgins 1–3 BARRY HAWKINS
-   Mark Davis 1–3 JUDD TRUMP
-   David Gilbert 0–3 JOHN HIGGINS
-   Anthony McGill 1–3 RYAN DAY

-   MARK DAVIS 3–2 John Higgins
-   Barry Hawkins 2–3 JUDD TRUMP
-   David Gilbert 2–3 RYAN DAY
-   Anthony McGill 1–3 JUDD TRUMP
-   Mark Davis 1–3 RYAN DAY
-   Anthony McGill 2–3 JOHN HIGGINS
-   David Gilbert 1–3 BARRY HAWKINS

Table

{{#invoke:Sports table|main|style=WL |ranking_style=wins |for_against_style=frames |team6=AAA |team7=BBB |team5=CCC |team2=DDD |team1=EEE |team3=FFF |team4=GGG |name_AAA= David Gilbert |name_BBB= Anthony McGill |name_CCC= Mark Davis |name_DDD= Barry Hawkins |name_EEE= Judd Trump |name_FFF= Ryan Day |name_GGG= John Higgins

|win_AAA=1 |loss_AAA=5 |gf_AAA=7 |ga_AAA=15 |win_BBB=1 |loss_BBB=5 |gf_BBB=7 |ga_BBB=16 |win_CCC=3 |loss_CCC=3 |gf_CCC=12 |ga_CCC=12 |win_DDD=4 |loss_DDD=2 |gf_DDD=15 |ga_DDD=11 |win_EEE=5 |loss_EEE=1 |gf_EEE=16 |ga_EEE=8 |win_FFF=4 |loss_FFF=2 |gf_FFF=15 |ga_FFF=12 |win_GGG=3 |loss_GGG=3 |gf_GGG=14 |ga_GGG=12

|split4=yes |status_AAA=E|status_BBB=E|status_CCC=E|status_DDD=Q|status_EEE=Q|status_FFF=Q|status_GGG=Q |col_WC=green1 |text_WC=Qualification to the Winners' Group play-off |col_rel=red1 |text_rel=Eliminated from the competition |result1=WC |result2=WC |result3=WC |result4=WC |result5=rel |result6=rel |result7=rel

|source=championshipleaguesnooker.co.uk }}

Play-offs

{{#invoke:RoundN|main|columns=2 |bold_winner=high |RD1 = Semi Finals
Best of 5 frames|RD2 = Final
Best of 5 frames || Judd Trump |2 | John Higgins |3 || Barry Hawkins |2 | Ryan Day |3 || John Higgins |3 | Ryan Day |0 }}

Century breaks

Total: 112

-   147 (W), 147 (3), 142, 132, 130, 110 Mark Davis
-   144 (7), 108 Graeme Dott
-   143, 142 (5), 140 (4), 136 (2), 121, 118, 106, 105 Mark Williams
-   143, 138, 137, 123, 120, 116 John Higgins
-   142 (6), 137, 105, 102 Ricky Walden
-   141, 126, 106, 102 Shaun Murphy
-   140, 133, 131, 114, 113, 112, 111,
    106, 105, 101, 101, 100, 100 Judd Trump
-   138, 119, 119, 115 Martin Gould
-   137, 137, 136, 135 (1), 129, 124, 123, 120,
    117, 117, 117, 116, 114, 112, 104, 103, 101 Ryan Day
-   135, 130, 128, 127, 119, 117, 105,
    104, 103, 102, 100, 100, 100 Neil Robertson
-   131, 126, 118, 101 Mark Selby
-   130, 123, 114, 112, 112, 110, 107, 101 Stuart Bingham
-   130 Joe Perry
-   122, 108, 107 Anthony McGill
-   121, 114, 112, 105, 102 David Gilbert
-   117, 111, 107, 107, 105, 103, 101 Barry Hawkins
-   115 Liang Wenbo
-   115 Matthew Selt
-   113 Ali Carter
-   112, 107 Kyren Wilson
-   103 Mark Allen
-   100 Michael White

''Bold: highest break in the indicated group.

Winnings

  No.   Player              1        2        3        4        5        6        7        W        TOTAL
  ----- ------------------- -------- -------- -------- -------- -------- -------- -------- -------- ---------
  1     Ryan Day            5300     4400     3100     2800     2000     6100              8900     32600
  2     John Higgins                                                              6300     14600    20900
  3     Mark Davis          2800     3200     6800                                         3400     16200
  4     Barry Hawkins                         2500     6400                                6600     15500
  5     Judd Trump                                              6600                       6800     13400
  =     Mark Williams                1500     1000     4800     5000     1100                       13400
  7     Anthony McGill      3100     6100                                                  1400     10600
  8     Neil Robertson               2900     5100     1300                                         9300
  9     David Gilbert       6200                                                           1400     7600
  10    Stuart Bingham                                          1100     2600     3400              7100
  11    Shaun Murphy                                   2300     2400     800                        5500
  =     Martin Gould                                                     4700     800               5500
  13    Mark Selby                                                       1200     4000              5200
  14    Ricky Walden                                                     3500     1100              4600
  15    Michael Holt                                                              2900              2900
  16    Matthew Selt        1300     900                                                            2200
  17    Kyren Wilson                                   1000     1000                                2000
  18    Graeme Dott                                                               1400              1400
  19    Ben Woollaston      1100                                                                    1100
  20    Michael White                900                                                            900
  21    Robert Milkins      800                                                                     800
  =     Ali Carter                            800                                                   800
  =     Joe Perry                             800                                                   800
  =     Mark Allen                                     800                                          800
  25    Liang Wenbo                                             700                                 700
        Total prize money   20,600   19,900   20,100   19,400   18,800   20,000   19,900   43,100   181,800

_Green: won the group. Bold: highest break in the group. All prize money in GBP._

[1] http://www.worldsnooker.com/full-calendar/

[2]

[3]

[4] 2014 Championship League

[5] 2015 Championship League

[6] 2016 Championship League

[7] http://www.championshipleaguesnooker.co.uk/prize-fund/

[8] http://www.worldsnooker.com/championship-league-gilbert-wins-group-one/

[9] http://www.worldsnooker.com/championship-league-mcgill-takes-group-two/

[10]

[11] http://www.worldsnooker.com/hawkins-wins-championship-league-group-four/

[12] http://www.worldsnooker.com/trump-wins-group-five/

title: 2017 Championship League

question: Where did the 2017 Championship League take place?

answer: The 2017 Championship League took place at the Ricoh Arena in Coventry, England.

question: Who won the tournament?

answer: Unsure? Seems that John Higgins won, but the language is a bit confusing.

question: How much money did the Winner win?

answer: The winner received 10000 pounds.

question: When was group 3 played?

answer: Group 3 was played on January 9 and 10, 2017.

question: Write a ~2 sentence summary.

answer: This article details the 2017 Championship League, a professional non-ranking snooker tournament that took place from January 2 to March 2, 2017. John Higgins won the tournament.


text:
A small stream feeds a small pool that gradually grows larger. The stream grows until it becomes a river and bystanders come to watch. Two men come forward and try to dam the river, but the flow is out of control. The river’s red waters feed the pool until it spills over a curb and cascades down into a gutter. A lone woman walks towards the river’s source and cradles it in her arms. Her face shows no emotion but her hands are a different story. The way they caress the man’s face is similar to that of a lover’s but not quite. There is a maternal quality to them. Those hands once held this man and seek to do the same now. Awkwardly they struggle to recreate something long gone from this moment and their failure only solidifies the fact that change is the only guarantee and who are we to argue with our only guarantee.

A man with a stretcher comes forward and attempts to take the body from the woman but she resists, slapping at the man’s hands. The man persists. The woman starts screaming, it’s a lonely scream and the bystanders exchange glances, unsure of how to react, they look to the each other for suggestions. Nobody seems to have any so they simply gaze on as if it were a television drama and they were observing from the comfort of their favorite chair.

Two policemen approach and try to pry the woman from her son’s body. With a superhuman burst of energy she rises, cradling her son in her arms, she makes a wild dash from the policemen. She makes it half way down the block then collapses spilling a body, it tumbles, finding the pavement it stops.

They come and take the body. They take it to a room and place it on a large metal tray. They cut at it and poke at it. They take it apart, weighing different pieces and then replacing them. After they are finished others come for the body. They wash the body and dress the body, then paint the body. They put it in a box and then place the box on display. People come to see. Prayers are said, words are exchanged, then they take the box to a hole and bury it. Above the hole they place a stone.

The stone is often alone. Sometimes the woman comes to visit the stone. She sits with the stone and together they bathe in memories. She remembers a man and she remembers a boy. She remembers birthdays, smiles, hugs, a wedding. She remembers happiness and she remembers meaning. She remembers being called mother.

These memories become an addiction and she visits often. As the time passes the smiles and the hugs are slowly replaced by visions of the stone until one day the stone is all she can remember. She tries and tries to recall just a glimpse of his face or a whisper of his voice, but the stone is a persistent memory. She must remember so she begins digging with her hands. She digs and she digs, snapping off nails. She digs until her hands begin to bleed and then continues. She is covered in dirt when she gets to the box. She opens it. Inside bones stare back at her. She can only return their look. She doesn’t remember this.

title: Inconsistent Memories

question: Who is the body?

answer: The body belongs to a man who died.

question: Where does the woman visit?

answer: She visits a grave.

question: Who is the woman?

answer: She is the mother of the person who died

question: What does the woman dig up?

answer: She digs up the grave to see the body.

question: Write a ~4 sentence summary.

answer: A man is killed and bystanders witness a grieving woman clinging to the body. The body is taken away by police and eventually buried. The woman, allegedly the mother of the victim, mourns him at his gravesite. She digs up the grave to remember his face but discovers a skeleton.


text:
The Woes of the Smitten

Rick Thorn, as nervous as an Altar Boy, went up the dark and creaky stairs in the neighborhood of Emporium Street, and inspected the name on each of the doors until he found the one he wanted.

He pushed open the door, as he had been told to do, and found himself in a tiny room, which contained no furniture but a plain kitchen table and a rocking chair. On one of the dirty walls were a couple of shelves, containing about a dozen bottles and jars. An old man sat in the rocking chair, reading a newspaper. Rick, without a word, handed him the card he had been given.

“Sit down, Mr. Thorn,” said the old man very politely.

“I am glad to make your acquaintance… but I must ask now, for I will simply collapse if I hold it in any more. Is it true that you have a certain mixture, that has, um, extraordinary effects?”

“Mr. Thorn,” replied the old man, “my stock is not very large. I don’t deal with normal narcotics like pain relievers, anti-depressants, and anti-histamines. I think nothing I sell has the effects which could precisely be described as ordinary.”

“Well, here’s the thing…” began Rick.

“Here, for example,” interrupted the old man, reaching for a bottle from the shelf. “Here is a liquid as colorless as water, almost tasteless, quite imperceptible in coffee, wine, or any other beverage. It is also quite imperceptible to any known method of autopsy.”

“Do you mean it is a poison?” cried Rick, very much horrified.

“Call it a glove-cleaner if you like,” said the old man indifferently. “Maybe it cleans gloves. I don’t know- I have never tried. One might call it a life cleaner. Lives need cleaning sometimes.”

“I want nothing of the sort,” said Rick.

“Oh, that’s probably for the best,” said the old man. “Do you know the price of this? For one teaspoon, which is enough, I ask twenty thousand dollars. Never less.”

“I hope all your mixtures are not as expensive,” said Rick apprehensively.

“Oh dear, no,” said the old man. “It would be no good charging that sort of price for a love potion, for example. Young people who need a love potion very seldom have twenty thousand dollars. Otherwise, they would not need a love potion.”
“I am glad to hear that,” said Rick.

“I look at it like this,” the old man contemplated. “Please a customer with one article, and he will come back when he needs another. Even if it is more costly. He will save up for it, if necessary.”

“So,” said Rick. “You really do sell love potions?”

“If I did not sell love potions,” said the old man, reaching for another vial, “I should not have mentioned the other matter to you. It is only when one is in a position to oblige that one can afford to be so confidential.”

“And these potions,” said Rick. “They are not, just, um…”

“Oh no,” said the old man. “Their effects are permanent, and extend far beyond the mere casual impulse. But they include it.”

“Dear me!” said Rick, attempting a look of scientific detachment. “How very interesting!”

“But consider the spiritual side,” said the old man.

“I do, indeed,” responded Rick.

“For indifference, she will substitute devotion. For scorn, adoration. Give one tiny measure of this to the young lady- its flavor is imperceptible in orange juice, soup, or cocktails- and she will change forever. She will want nothing but solitude with you.”

“I can hardly believe it,” said Rick. “She is so fond of parties and other people!”

"She will not like them any more,” said the old man. “She will be afraid of the pretty girls you may meet.”

“She will actually be jealous?” cried Rick in a rapture. “Of me?”

“Yes, she will want nothing but you. You will be her sole interest in life.”

“Wonderful!”

“She will want to know all you do. All that has happened to you during the day. Every word of it. She will want to know what you are thinking about, why you smile suddenly, why you are looking sad.”

“This is love!”

“Yes, how carefully she will look after you! She will never allow you to be tired, to stand when you could sit, to neglect your food. If you are an hour late, she will be terrified, and think that you have been killed.”

“I can hardly imagine a Diana like that!” cried Rick, overwhelmed with joy.

“You will not have to use your imagination. And, by the way, since there are always impulses, if by any chance you should, later on, slip a little, you need not worry. She will forgive you, in the end. She will be terribly hurt, of course, but she will forgive you.”

“That will not happen,” said Rick fervently.

“Of course not. But, if you did, you need not worry. She will never divorce you. She will never even be angry at you.”

“And how much is this wonderful mixture?” asked Rick.

“It is not as dear as the glove cleaner. No, that is twenty thousand dollars. One has to be older than you to indulge in that sort of thing. One has to save up for it.”

“But the love potion?”

“Oh, that,” said the old man, opening the drawer in the kitchen table, taking out a tiny, rather dirty looking vial. “That is just a dollar.”

“I can’t tell you how grateful I am,” said Rick, watching him fill it.

“I like to oblige. Then, customers come back, later in life, when they are better off, and want more expensive things. Here you are, You will find it very effective.”

“Thank you again,” said Rick. “Good-bye.”

“Au revoir (until we meet again).”

title: The Woes of the Smitten (Story #1)

question: Who is Rick in love with?

answer: Unknown

question: Will Rick regret it if he uses the love potion on his beloved?

answer: Unknown

question: Who is the old man?

answer: Unknown

question: How do the love potions work?

answer: Unknown

question: Where does the old man come from?

answer: Unknown

question: Write a ~4 sentence summary.

answer: Rick approaches an old man who sells potions to buy a love potion. The old man warns him that the potion will have a huge effect on his beloved, and make her obsessed with him. [Rick does not understand what he is saying because he is too deeply in love] The love potion is cheaper than a poison. It costs only one dollar.


text:
[Carl Johan Hartman] CARL JOHAN HARTMAN (14 April 1790 in Gävle – 28 August 1849 in Stockholm) was a Swedish physician and botanist.

Works

-   Handbok i Skandinaviens flora, 1820, 11. Auflage 1879 (spätere Auflagen von seinem Sohn herausgegeben)
-   Utkast till botanologien, 1843
-   Svensk och norsk excusionsflora, 1846
-   Utkast till populär naturkunnighet 1836
-   Husläkaren, 1828, 6. Auflage herausgegeben von O. F. Hallin 1872

title: Carl Johan Hartman

question: When was Carl Johan Hartman born?

answer: April 14, 1790.

question: Where was he born?

answer: Gavle, Sweden.

question: What was his profession?

answer: Physicist and botanist.

question: Where did he pass away?

answer: Stockholm, Sweden.

question: Write a ~2 sentence summary.

answer: Carl Johan Hartman was a Swedish physician and botanist. He was born on April 14, 1790, and died on August 28, 1849.