Please recommend some Doujinshi novels that are long and of any genre. Thank you!

The following are some of the dramas that Tian Xiwei starred in: - [Such Cute Us]: This is a youth school drama. Douban rating: 8.1.] The drama told the story of a group of post-90s people's family, life, dreams, and young love on their way to growth. - ** Qingqing Daily Life **: A romantic drama in ancient costume. Douban rating: 7.2. The plot revolved around Yin Zheng, the sixth young master of Xinchuan, who kept a low profile, and Li Wei, who only wanted to return to her hometown to live a comfortable life. Because of their marriage, they started their married life, which included many comedy elements, food, health care, cute pets, and other elements that were close to life. - " Tian Geng Ji ": A light comedy about farming in ancient costume. Douban score: 6.6. It was a story about a modern girl, Lian Man 'er, who traveled to an ancient village and got to know a mysterious man, Shen Nuo. They worked together to fight against their best relatives, farmed and did business, became rich, and fell in love. - << Half-mature Couple >>: A love fable, with Tian Xiwei, Xin Yunlai, and the others leading the cast, with Zhou Yutong as the special star. The play was adapted from a novel, revealing the true face of real love, involving emotional topics such as long-distance love, middle-aged marriage and love balance. In addition, there were still dramas to be broadcasted," Da Feng Beat the Night Watchers," which was an ancient fantasy detective comedy. Tian Xiwei played Lin 'an in the drama;" Midnight Return," which was an ancient palace fantasy love drama, she played Wu Zhen; and " Low IQ Crime," which was a suspense drama, she played the new female police officer Li Qian. While waiting for the TV series, you can also click on the link below to read the classic original work of "Dafeng Nightwatchman"!

He recommended a few novels. Reborn Couple, a modern romance novel written by Night Rain Fenghua. It was about the male and female protagonists being reborn when they were ten years old. God gave them a family misfortune and a rebirth test. They could not accept having a mistress, so they worked together for family, happiness, and love. It was updated every day from 10 am to 11 am. Those who saw it would remember to vote and recommend it. " The Goddess of Creation who Traversed the Ninja Realm " was a light novel written by Raincoat Ni Shang. The male lead was Qiao Qiannuo, and the female lead was Okami. The story was about transmigrating to the Naruto world to carry out a god-creating mission. There were all kinds of interesting characters in the book, such as the mother of the divine tree, Mitarai washing red beans, and so on. Di Daughter Is Very Busy, an ancient romance novel written by Yu Xiyan. The reborn Di daughter and the transmigrated Shu daughter PK. The Di daughter's path to rebirth was full of danger. The Shu daughter was very arrogant, but the Di daughter said that scumbags were fleeting clouds. " God Bestows My Divine Sword " was a fantasy novel written in the oriental fantasy genre. The male protagonist Ye Chu's luck exploded after he went blind. The female protagonist Lin Xiaoxue was full of mysteries. The male protagonist, who was blessed with a divine sword, could break Yin and Yang and cut life and death. The story was happy and humorous. " Miss Marries " was an ancient romance novel written by Jiu Yuan. The story of the boxer who had transmigrated into the mysterious family's young lady. The keywords were Danmei, TL, and so on. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

I recommend The Good Wife Is Poisonous, an ancient romance novel written by Lei Dewen. Abandoned wife reborn, originally wanted to stay away but could not escape, the female protagonist insisted on plain happiness. In the story, there is gratitude and revenge, and the female protagonist found a person of her heart after her rebirth. They could learn how to get along with each other. Although the male lead was not attractive and the female lead's feelings were not like love, the ending was twisted and heartbreaking. There were also readers who commented that the author had a faint sense of helplessness and sadness, and that the character had grown up. " Rebirth, Encounter Again ", a modern romance novel written by Youyou Summer. The illegitimate daughter of an aristocrat was reborn into another person's body. Was the previous agreement still there? Her boyfriend said that she was strong. What kind of surprise would her husband, who was married by contract, have? It was full of suspense. " Rebirth's Pleasant Life " was a work of a woman. The female protagonist's family was broken, but she was used by her loved ones. Her love was shattered. Could she make up for her mistakes after her rebirth? The situation and love development after her rebirth as a baby were very curious. The Ten Feet Red Dust Immortal was a Xianxia novel about a gourd that was not a ladle. There was the atmosphere of the human world, the daily life, and the early units. There were plots of wandering in the human world, and there was also a dialogue about cultivating a human body. It was very interesting. 'The Spy' was a military spy novel written by Fang Faye Lan Ze. The protagonist accidentally transmigrated to the war era and was willing to conceal his identity for the independence and liberation of the nation. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

The author of the book, Rise of the Military Advisor of the Warring States Period, is Morning Breeze Heaven. This was a super interesting historical novel about the ancient Qin Dynasty. The main character Bai Hui transmigrated to the Warring States Period and became Bai Qi's younger brother. He did not want to kill people, but he did not want to be killed. After learning that his older brother was Bai Qi, his fate changed. Bai Hui was known as the " hamster Hui ". He was 21 years old and led the elite troops of the Great River Guard to search for resources wherever he went. Bai Qi was the supporting male character of God of War, 31 years old. And the 45-year-old Empress Dowager Xuan. The writing style of the novel was rigorous, and the style was relaxed and funny. It was not serious, and the rhythm was well controlled. There were many battle scenes, but it was not boring. Although it was a historical text, it was not stressful to read. There was not much foreshadowing and the logic was not bad. Although his performance of the history of that time was not perfect, most aspects were on point. There was no golden finger. The main character and his brother had a clear division of labor. One fought the war, and the other was logistics. At present, there were no female leads or romantic scenes. It was completed. The recommendation index was quite high. It was worth a look. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

I recommend the author of The Great Emperor Ji, Xi Xing. This book was awesome. It was an ancient romance novel. The female lead, Xue Qing, was a modern assassin who had transmigrated. She had disguised herself as a man and even cheated on her marriage. There was an even bigger scam behind it. There were a lot of male partners, such as the powerful minister Qin Tan Gong, the four masters of the Imperial Temple, Mr. Si Brown, etc., each with its own characteristics. The reviews of this book were superb. Xixing's writing was refined and the characters were vivid. The plot was full of suspense. The female protagonist had an IQ and three values. Although it was a female protagonist, the boys could also watch it. There were almost no love scenes. The plot was full of twists and turns, and the ending was open. Everyone worked hard for their beliefs. The updates were on time, and the book review section was lively. Many people gave gifts, such as bamboo, papaya, etc., saying that the writing was good. In short, Xixing's products were guaranteed and could not be missed. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

Tian Xiwei was an actress from Mainland China. She was born in Chongqing City on October 14th, 1997 and graduated from the Shanghai Drama Academy. She had a lot of acting experience. On July 13th, 2018, her first TV series, Waiting for You in a Long Time, was broadcast. She played Luo Xi in the drama. From 2020 to 2021, he participated in "Such a Cute Us" and "My Pet Young General". On November 10,2022, Qingqing Daily Life, co-starred with Bai Jingting, was broadcast. The popularity of the show broke through 8500+ in iQiyi less than a day after it was broadcast. She increased her popularity by playing the female lead, Li Wei. On January 14,2023, she was awarded the 2022 iQiyi Screaming Night's Annual Potential Actress; On August 28th, at 18:00, the online drama "The Wedding of the Flower Carriage" was broadcasted on Youku alone; On October 14th, the online drama "Tian Geng Ji", which was adapted from the online writer Ruo Yan's novel "Reborn Little Landlord", was broadcasted on iQiyi. She played Lian Maner in the play; On November 25th, she won the 2023 iQiyi Screaming Night Youth Leap Actress Award. On January 2,2024, the TV series "Midnight Return" started filming, playing the role of the county lord Wu Zhen. On April 15, the video was released for the first time as the female lead of Hayao Miyazaki's movie "Howl's Moving Castle" Sophie. On July 28, the reality show "Hunting for Treasure" was broadcasted exclusively on Mango TV. She also starred in the 28-episode TV series,"The Moon Flows." In terms of acting skills, her crying scene in "Half-familiar Couple" was very empathetic to the audience. In addition, her figure and style also attracted the attention of the audience. While waiting for the TV series, you can also click on the link below to read the classic original work of "Dafeng Nightwatchman"!

I recommend Guide to Cultivating Master and Disciple, a novel written by a lazy little beast. The female protagonist traveled through the Xianxia world, but she did not get the golden finger she had imagined. She was even "trapped" by her master. This was a funny story of a disciple being led astray by her master. The characters had different personalities, the plot was well arranged, the supporting roles had their own characteristics, and they were relaxed and humorous. Although it was a cultivation novel, it did not take the ordinary path. The female protagonist was self-reliant while the male protagonist was protective. It was suitable to watch when he was relaxed. " Deceive the Master to Demon " was not bad either. It was a fantasy romance novel written by a poisoned puppet. In order to save her master, the female protagonist wanted to trick a beautiful man in the immortal world into becoming a demon. The story was neither white nor stupid. " Master Yun in the Red Chamber " was a light novel written by a thin man. The main character was strong and did not engage in internal strife. He had more drama in the officialdom and less drama in the garden. His potential was above average. " Online Games: Apprentice Summoning " was a gaming competition novel written by a woman from the evil sect. The female protagonist's experience of taking in disciples was interesting. The disciples had their own characteristics. Although the first few chapters of the return novel were not good, they were gradually getting better. There were many jokes and they even secretly mocked the phenomenon of online games in reality. There was also Candlelight Cloud Mountain's " Lord Sorcerer ", a fantasy novel. It told the story of the protagonist in the Sorcerer World who constantly attacked cities and conquered land in order to become stronger. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>

Artificial Intelligence: The Engine of Technology Change * * I. Introduction ** In the current era of rapid technological development, artificial intelligence (AI) had become one of the most influential technologies. From the early theoretical exploration to the widespread application today, the development of artificial intelligence was full of innovation and breakthroughs. Numerous research papers played a key role in this field. They not only promoted the development of theory, but also promoted the application of artificial intelligence technology in various fields. * * 2. Research related to the development of artificial intelligence ** (I) Early artificial intelligence In the early days, artificial intelligence mainly focused on symbolic reasoning. This stage of research attempted to achieve intelligence by simulating the logical thinking process of humans. For example, scientists built rule-based systems and wrote clear rules to handle various tasks. However, this method had limitations when faced with complex real-world problems because it was difficult to deal with large-scale data and uncertainty. The Rise of Machine Learning As time passed, machine learning gradually became the core of artificial intelligence. Machine learning can be divided into supervised learning, unsupervised learning, and reinforcement learning. Supervised learning uses labeled data to train the model so that it can make predictions on new data. Unsupervised learning mainly deals with unlabeled data, aiming to discover patterns and structures in the data. Reinforcement learning learns the optimal behavior strategy by letting the agent take action in the environment and receive rewards. (3) The revolution of deep learning Deep learning was a branch of machine learning. It simulated the connections of human brain neurons by constructing neural networks with many layers. This method had achieved great success in the fields of image recognition, speech recognition, and natural language processing. For example, Consecutive neural networks (CCNs) performed well in image recognition, and Recurring neural networks (RHNs) and their variants such as Long Short Phase Memory Network (LSTMs) and Gated Cyclic Unit (Gru) played an important role in processing sequence data such as speech and text. * * 3. Important AI theses and results ** (1) Basic neural network related papers 1. wide_deep model thesis This paper explored the relationship between the deep and shallow layers of a fully connected network. The wide model was a shallow model, which was highly fitting to the training samples through a large number of single-layer network nodes, but the generalization ability was poor; the deep model was a deep model, which had good generalization after multiple layers of non-linear changes, but the fitting ability was lacking. By training these two models through a joint training method that shared the loss value of back-transmission, the advantages of both models could be combined. This research deepened the understanding of fully connected networks. 2. Adam's related papers Adam was a widely used algorithm for neural network optimization. The paper elaborated on Adam's principle, which was important for understanding the training optimization process of neural networks. Understanding the principle would help in the research and application of artificial intelligence to train models more effectively. 3. Target Drop Out Model This model was an improvement over the traditional dropouts. Traditional dropouts randomly discard some nodes according to a set ratio, while targeted dropouts sort the existing neurons according to the weight and importance of the neurons and then discard the nodes. This method is smarter and more effective. (2) Image classification related papers 1. Xception Model Paper The Xception series played an important role in the field of image classification. The technology it contained gradually became part of the AI development knowledge system, providing valuable reference for the development of image classification technology. 2. Residue structure thesis The residual structure was a legend in artificial intelligence technology, and even in today's AI technology, it occupied an important position. Its appearance allowed the network to reach a depth of hundreds of layers, greatly improving the performance of the model, and it was widely used in many image recognition models. 3. Hollow Convexation Paper The study of the hollow convolutions explained the exponential relationship between the perceptual field and the number of layers. This feature made it a unique advantage in tasks such as image classification, and it was widely used in models such as NasNet. 4. DenseNet thesis The DenseNet model has a unique structure and magical effects. Its successful application in image classification and other fields has provided new ideas for the design and research of other models. 5. EfficientNet Paper EfficientNet was a leader in the field of image classification, and its research results reflected the cutting-edge level of current image classification technology. (3) Natural language processing related papers 1. GloVe Paper GloVe was a word embedding model based on reducing the dimensions of the word co-occurrence matrix. Unlike previous methods, it uses an implicit representation that can be expanded to a large-scale text corpus-like, which helps to understand the basics of word embedding and their importance in natural language processing. 2. Word 2 Vec and Bert Word 2Vec was a famous model for generating a set of semantically generated words, while Bert was the leading method for word representation and semantically understanding. These research results had driven the continuous development of natural language processing technology. (4) Machine learning algorithm related papers The Adaboost algorithm paper proposed a meta-inspired learning algorithm. The algorithm could integrate many "weak" models into "strong" classifications. By training multiple classifications and re-weighing them according to the difficulty of the samples, more attention was paid to the more difficult samples. Although it might be easy to overfit complex problems, it was still an important algorithm in the field of machine learning. * * 4. The application field of artificial intelligence ** (I) Medical diagnosis Intelligent machine learning had a wide range of applications in the field of medical diagnosis. For example, by analyzing a large amount of medical image data (such as X-rays, CT scans, etc.), the deep learning model could help doctors detect diseases and identify the areas of disease more accurately. At the same time, natural language processing technology could be used to analyze medical records and other text information to assist doctors in making a diagnosis and making a treatment plan. (II) Financial risk assessment In the financial field, artificial intelligence could analyze a large amount of financial data, including market data and customer credit data. Through machine learning algorithms, risk assessment models can be built to predict financial market fluctuations and assess customer credit risk, thus helping financial institutions make more informed decisions. (III) Intelligent Transportation The application of artificial intelligence in the field of intelligent transportation included traffic flow prediction, autonomous driving, and so on. By analyzing traffic data, such as road sensor data, vehicle GPS data, etc., traffic flow can be predicted, traffic signal control can be optimized, and traffic congestion can be reduced. Autopilot technology was an important development direction of artificial intelligence in the field of transportation. It relied on computer vision, sensor fusion, decision-making algorithms, and other artificial intelligence technologies. * * 5. The Challenge Faced by Artificial Intelligence ** (I) Interdisciplinary Cooperation As the field of artificial intelligence applications continued to expand, cross-disciplinary cooperation became more and more important. For example, applications in the medical field required close cooperation between artificial intelligence experts and medical experts, and applications in the field of environmental science required cooperation with environmental scientists. However, the differences in knowledge and research methods between different disciplines posed a challenge to cross-disciplinary cooperation. (2) Reinforcement Learning Although reinforcement learning had achieved results in many fields, it still faced some challenges. For example, in a complex environment, it was difficult to design an effective reward mechanism to guide the agent to learn the optimal strategy. In addition, the sample efficiency of reinforcement learning was usually low, requiring a large amount of training data and a long training time. (3) Moral issues The development of artificial intelligence also brought about a series of ethical issues. For example, algorithm bias could lead to unfair treatment of certain groups; privacy protection faced challenges in artificial intelligence applications because artificial intelligence systems needed a large amount of data for training. How to ensure the legal use of data and the privacy of users was an urgent problem to be solved. * * 6. conclusion ** Research in the field of artificial intelligence continued to push forward technological progress through numerous papers. Research results from neural network foundations to image classification, natural language processing, and machine learning algorithms had laid the foundation for the widespread application of artificial intelligence in the fields of medicine, finance, and transportation. However, the development of artificial intelligence also faced challenges such as cross-disciplinary cooperation, improvement of reinforcement learning, and ethical issues. In the future, more research and exploration were needed to further promote the development of artificial intelligence so that it could better serve human society. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!

The Meihe service area was located in the Jilin Province. The Meihekou Branch of the Public Security Bureau of JiLin High Speed would carry out safety inspections and other work on the Meihe Service Area to ensure the safe operation of the service area and provide a safe and comfortable resting environment for the masses.

I recommend Ten Thousand Ghosts and Ten Thousand Immortals, written by the Lost Lord of Morality. This book was about Xianxia, Mythology, and Cultivation. It was about the battle between immortals and ghosts, and there were even ancient gods above it. The main character, Pan Yan, wakes up from the grave. He has secrets, cultivation techniques, and the secrets of cultivating immortality and exorcising ghosts. Her writing style was good, her ideas were ingenious, and her imagination was strange. However, it was a little depressing. It was the continuation of "The Sword of the Sea of Maggots and Flies." The style of writing had a martial arts flavor, and the characters were as vivid as watching a movie. "My Years as Mr. Yin Yang" was not bad either. It was a novel written by Cui Zouzhao in a mysterious and wonderful world. The protagonist Cui Zuofei was kind and did not have the aura of a protagonist. It was a story about a person who had a special folk technique. The horror elements were well exaggerated, and the description of the Yin-Yang technique was interesting. It was close to life, and the tone was relaxed. 'Haunted House Night Talks' was a collection of short stories that refused to be hypocritical. Each story was not long, but it was scary and heartwarming. The writing style was good. Although there were flaws in some stories, most of them were very attractive. The most memorable one was Invisible Man. The Northeastern Supernatural Archives was written by Love Will Be Eternal. The northeast had a strong local atmosphere, with unique supernatural stories and legends that could guide people to good. The first 4/5 parts were good, but the ending was a little rushed. There was also "The Mutant Investigator", a light novel written by the Little White Goose. The male protagonist Rogge saw a ghost and found that the world had become a terrifying and strange city. <a href="/?from=ask_words" style="color:red" target="_blank">Read more exciting novels for free</a>