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What is a novel prediction and how is it made?

2024-10-06 11:41
2 answers

A novel prediction is a guess or forecast about something new or unique. It's usually based on analysis and observation.

A novel prediction is when you try to figure out what might happen in a new or different way. You make it by combining information from various sources, using your knowledge and experience, and considering unusual or unexpected factors that could influence the outcome.

After Transmigrating, the Fat Wife Made a Comeback!

After Transmigrating, the Fat Wife Made a Comeback!

Qiao Mei transmigrated into a novel as a supporting character with the same name as her who lacked presence. This supporting character was a country bumpkin who couldn’t get married due to her obesity. According to the original script, this country girl Qiao Mei was a fatty spoiled by her grandfather. However, their relatives were all vicious and cruel people. Her grandfather had poor health, so once he died, the relatives would divide and swallow up his assets. Hence, her grandfather’s greatest wish was to marry Qiao Mei off. For this, even sacrificed and betrayed his good friend’s grandson, Xia Zhe. Grandpa got Xia Zhe drunk and had Qiao Mei forcibly take the strong and handsome Xia Zhe with her body which weighed more than two hundred pounds. Then, grandpa would catch them the next day and force Xia Zhe to marry Qiao Mei. However, that eventually caused the start of Qiao Mei’s unfortunate life. Also, in the original story, Qiao Mei took possession of Xia Zhe’s mysterious jade. But due to Qiao Mei’s stupidity, her cousin's sister had tricked Qiao Mei into giving her the jade, which resulted in the cousin’s family becoming rich. When Qiao Mei transmigrated here, it was during the awkward moment when she was making love to the man after making him drunk. She woke up groggily the next day and grandpa’s team had already appeared at the door. Qiao Mei was frightened. She didn’t want to proceed on the original path and marry a man who didn’t love her. And so, she lied and chased grandpa away. She also pushed the man out before forcing herself to look at her tanned and chubby reflection in the mirror! Alas, she cried at her ugly appearance… Like a sumo wrestler in large cloth underwear, even the plus-sized apparel shops didn’t have clothes in her size. And her face was the size of a pizza, a scorched pizza! Qiao Mei decided to reform her life! The first step, lose weight! The second step, clean up her room! She used to be particular about cleanliness, and although her current house had a huge courtyard, she could only describe it as messy! The third step was to hold onto the jade tightly so her greedy cousin wouldn’t stand a chance! Only, wasn’t the tall and handsome Xia Zhe supposed to hate her according to the original story? Why was he being nicer and nicer to her?
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2388 Chs
How Am I Still Alive?

How Am I Still Alive?

Spiritual Qi Resurgence, Gods descending? Continuous disasters, all living beings suffering? What does it have to do with me? I'm just a patient with an incurable disease, who's been given up on treatment and has a countdown to death. Embarking on the path of exorcising demons and annihilating immortals with my crippled body is not for the sake of protecting my family and country, but because the hazardous duty pay is too tempting, especially the compensation... "This Evil Gods profession system is cursed, even if there's smooth progress in the early stages, the practitioners will eventually commit suicide..." "Give me a set." "This Demon Sword poisons its user and has already taken ninety-nine lives..." "Give me two, and also that man-eating demonic helmet, soul-devouring blood claws, get me a set." "This Magic Potion is harmful to heaven and earth..." "Enough talk, I'll take them all!" However, the problem is, why am I still alive after taking on all these high-risk missions, stepping on every risk, and doing every deadly task? 【Congratulations, congratulations! Ranked first among the Top Ten Heroes Who Moved the World...】 "...Heavens, wasn't the average life expectancy in this line of work three and a half years? I've been here for one cycle of three years after another, I'm almost an S-level hunter, the first of the top ten heroes! Why am I still alive? I just want to make an honor sacrifice, scam some compensation! Is that so hard?!"
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1405 Chs

How to write an accurate prediction for a story?

1 answer
2024-10-04 23:35

First off, you need to analyze the plot development so far. Consider the conflicts and how they might resolve. Also, think about any foreshadowing and how that could play out. That way, you can form a reasonable prediction.

What is a novel way for soccer match prediction?

3 answers
2024-10-12 18:20

One novel way could be analyzing the players' recent form and performance stats. This gives an insight into their current capabilities and potential on the field.

What are the best prediction stories?

2 answers
2024-11-22 11:31

In the business world, there are prediction stories related to market trends. Analysts study consumer behavior, economic indicators, and industry developments. They predicted the rise of e - commerce years ago, which led to many traditional businesses adapting and new online - only businesses emerging.

The discovery of genes is the first time modern science has made a prediction about life.

1 answer
2024-08-20 09:08

Your question is incomplete. Can you provide more context or information so that I can better understand your question?

What is a novel machine learning approach for bug prediction?

2 answers
2024-09-28 01:19

A possible novel method is to combine multiple machine learning algorithms and ensemble them. For example, using random forests and support vector machines together and averaging their predictions to get more reliable bug predictions.

What is a novel hybrid method for solar power prediction and how does it work?

1 answer
2024-10-12 13:35

The novel hybrid method for solar power prediction combines different techniques and data sources to provide more accurate forecasts. It might involve using machine learning along with weather data and historical power generation records.

What are the top stories in earthquake prediction?

1 answer
2024-11-17 21:59

The top stories in earthquake prediction could involve breakthroughs in understanding the Earth's crust and tectonic plate movements. This knowledge is crucial for predicting earthquakes. There might be stories about new models developed to forecast earthquakes based on historical data and geological studies. Additionally, stories about how early warning systems are being implemented in earthquake - prone areas are also important. These systems can save many lives by giving people a few seconds to minutes of warning before the shaking starts.

Rebirth, prediction of disaster, novel recommendation, end

1 answer
2024-12-31 07:35

The following are some recommendations for completed novels that predict disasters: 1. [Doomsday: I Can Be Resurrected Unlimited]: The main character obtained the ability to be resurrected indefinitely after the end of the world, and there was also the system's assistance. 2. [Survivor (Apocalypse)]: The story of the protagonist's survival in the apocalypse. 3. <<Global Disaster Cycle>>: The story of the rebirth of all kinds of disasters in the world. These are some recommendations for the completed novels about rebirth and disaster prediction.

How does Science Fiction Use the Prediction Timeline?

2 answers
2024-12-10 21:22

Science fiction uses the prediction timeline to explore possibilities. It can show how current trends, like technological advancements or social changes, might play out in the future. For example, if we look at the trend of increasing automation today, science fiction might predict a future on the timeline where most jobs are done by machines.

What is a novel under-sampling approach for effective bankruptcy prediction and how does it work?

1 answer
2024-10-05 01:11

Well, a novel under-sampling approach might involve techniques like clustering or smart sampling based on specific features. It works by focusing on the most relevant and informative data points to build a more accurate prediction model for bankruptcy.

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