Evolution and Characteristics of "Carbon Neutrality Movies"

"Carbon neutrality movies"are movies that focus on carbon neutrality as the object of expression and dissemination.Using carbon neutrality as an element,it influences the development of the plot,reflects environmental changes,and focuses on climate change caused by carbon emissions.At the same time,it focuses on offsetting carbon emissions through carbon neutrality behavior,showcasing the impact of carbon neutrality.From the perspective of ecological movies,the evolution of carbon neutrality movies at three stages can be explored.The first stage is high-carbon movies that reflect the high conflict between humans and the natural environment.The second stage is low-carbon movies,reflecting humanity's pursuit of a harmonious coexistence between humans and nature,thus adopting green and low-carbon behaviors.The third stage is carbon neutrality movies,which awaken or guide the public to pay attention to carbon emissions,promote low-carbon living,guide life practice in a carbon neutrality way,and create a better life.There are three characteristics of"carbon neutrality movies",including scientific reflection on global warming,advocating energy conservation and emission reduction in daily life,and promoting clean energy in policies.

Study on the Influence of Aspect Ratio on the Seismic Response and Overturning Resistance of a New Staggered Story Isolated Structure

The aspect ratio of the structure has a significant impact on the overall stability of the ultra high-rise building. A large aspect ratio of the structure increases the risk of overturning and reduces the lateral stiffness of the structure, leading to significant tensile and compressive stresses in the isolated bearings. To study the effect of aspect ratio on the seismic response and overturning resistance of a new staggered story isolated structure, three models with different aspect ratios were established. Nonlinear time-history analysis of the three models was conducted using ETABS finite element software. The results indicate that the overturning moment and overturning resistance moment of the superstructure in the new staggered story isolated structure increase with an increasing aspect ratio. However, the increase in the overturning moment of the superstructure is much greater than the increase in the overturning resistance moment, resulting in a decrease in the overturning resistance ratio of the superstructure with an increasing aspect ratio. The overturning moment and overturning resistance moment of the substructure in the new staggered story isolated structure decrease with an increasing aspect ratio. However, the decrease in the overturning moment of the substructure is greater than the decrease in the overturning resistance moment, leading to an increase in the overturning resistance ratio of the substructure with an increasing aspect ratio. The decrease in the overturning resistance ratio of the superstructure in the new staggered story isolated structure is much greater than the increase in the overturning resistance ratio of the substructure. Therefore, as the aspect ratio of the overall structure increases, the overturning resistance ratio of the superstructure and the entire structure decreases.

Progressive Collapse Resistance of a New Staggered Story Isolated System

A new staggered isolated system developed from the mid-story isolated system is the new staggered story isolated system. There are not many studies on this structure currently. In this study, an 18-story new staggered story isolated system model is established using SAP2000. The dynamic nonlinear dynamic alternate method is used to analyze the structure against progressive collapse. Results show that the structure has good resistance to progressive collapse, and there is no progressive collapse under each working condition. The progressive collapse does not occur for the case of removing only one vertical structural member of the new staggered of isolated system. The side column has big influence on this isolated structures’ progressive collapse;the removal of vertical structural member of the isolation layer has less impact on the structure than the removal of the bottom vertical structural member. After the removing of the member, the internal force of the structure will be redistributed, and the axial force of the adjacent columns will change obviously, showing a trend of “near large and far small”.

Writing the Silenced Female Body, Scrutinizing the Grand Narrative of Colonization and Decolonization: The Body in Zoë Wicomb’s David’s Story

David’s Story by Zoë Wicomb addresses the complexities of representing female suffering and the limitations of traditional historical narratives in capturing the experiences of marginalized bodies.It challenges the grand narratives of national history by emphasizing the indispensable role of women’s experiences.Through characters like Dulcie and Rachael,Wicomb portrays the female body as a site of resistance and resilience,highlighting the need for more nuanced and inclusive ways of documenting history.Underscoring the inexpressibility of trauma and the limitations of language and representation,the novel self-reflexively acknowledges its own aporia of completing the narrative,embodying the ongoing struggle to capture the full breadth of human experience.

Pursuing Excellence in the Biomedical Field:The Inspiring Story of Prof.Dr.Mike Chan——An Interview with Prof.Dr.Mike Chan,Scientist,Author and Founder of European Wellness Biomedical Group

From humble beginnings to global influence,Prof.Dr.Mike K.S.Chan's story is a remarkable tale of passion,perseverance,and groundbreaking innovation in the biomedical field.As the co-owner and founder of the European Wellness Biomedical Group,he has dedicated his life to advancing biotechnology,stem cell research,and regenerative medicine,profoundly impacting lives across the globe.

Content-Based Movie Recommendation System Using MBO with DBN

The content-basedfiltering technique has been used effectively in a variety of Recommender Systems(RS).The user explicitly or implicitly provides data in the Content-Based Recommender System.The system collects this data and creates a profile for all the users,and the recommendation is generated by the user profile.The recommendation generated via content-basedfiltering is provided by observing just a single user’s profile.The primary objective of this RS is to recommend a list of movies based on the user’s preferences.A con-tent-based movie recommendation model is proposed in this research,which recommends movies based on the user’s profile from the Facebook platform.The recommendation system is built with a hybrid model that combines the Mon-arch Butterfly Optimization(MBO)with the Deep Belief Network(DBN).For feature selection,the MBO is utilized,while DBN is used for classification.The datasets used in the experiment are collected from Facebook and MovieLens.The dataset features are evaluated for performance evaluation to validate if data with various attributes can solve the matching recommendations.Eachfile is com-pared with features that prove the features will support movie recommendations.The proposed model’s mean absolute error(MAE)and root-mean-square error(RMSE)values are 0.716 and 0.915,and its precision and recall are 97.35 and 96.60 percent,respectively.Extensive tests have demonstrated the advantages of the proposed method in terms of MAE,RMSE,Precision,and Recall compared to state-of-the-art algorithms such as Fuzzy C-means with Bat algorithm(FCM-BAT),Collaborativefiltering with k-NN and the normalized discounted cumulative gain method(CF-kNN+NDCG),User profile correlation-based similarity(UPCSim),and Deep Autoencoder.

Modified Sine Cosine Optimization with Adaptive Deep Belief Network for Movie Review Classification

Sentiment analysis(SA)is a growing field at the intersection of computer science and computational linguistics that endeavors to automati-cally identify the sentiment presented in text.Computational linguistics aims to describe the fundamental methods utilized in the formation of computer methods for understanding natural language.Sentiment is classified as a negative or positive assessment articulated through language.SA can be commonly used for the movie review classification that involves the automatic determination that a review posted online(of a movie)can be negative or positive toward the thing that has been reviewed.Deep learning(DL)is becoming a powerful machine learning(ML)method for dealing with the increasing demand for precise SA.With this motivation,this study designs a computational intelligence enabled modified sine cosine optimization with a adaptive deep belief network for movie review classification(MSCADBN-MVC)technique.The major intention of the MSCADBN-MVC technique is focused on the identification of sentiments that exist in the movie review data.Primarily,the MSCADBN-MVC model follows data pre-processing and the word2vec word embedding process.For the classification of sentiments that exist in the movie reviews,the ADBN model is utilized in this work.At last,the hyperparameter tuning of the ADBN model is carried out using the MSCA technique,which integrates the Levy flight concepts into the standard sine cosine algorithm(SCA).In order to demonstrate the significant performance of the MSCADBN-MVC model,a wide-ranging experimental analysis is performed on three different datasets.The comprehensive study highlighted the enhancements of the MSCADBN-MVC model in the movie review classification process with maximum accuracy of 88.93%.

Qualia Role-Based Quantity Relation Extraction for Solving Algebra Story Problems

A qualia role-based entity-dependency graph(EDG)is proposed to represent and extract quantity relations for solving algebra story problems stated in Chinese.Traditional neural solvers use end-to-end models to translate problem texts into math expressions,which lack quantity relation acquisition in sophisticated scenarios.To address the problem,the proposed method leverages EDG to represent quantity relations hidden in qualia roles of math objects.Algorithms were designed for EDG generation and quantity relation extraction for solving algebra story problems.Experimental result shows that the proposedmethod achieved an average accuracy of 82.2%on quantity relation extraction compared to 74.5%of baseline method.Another prompt learning result shows a 5%increase obtained in problem solving by injecting the extracted quantity relations into the baseline neural solvers.

Teaching Intercultural Competence Using Critical Incident and Cultural Story Telling

Intercultural literacy is attached increasingly great importance in this interconnected world.People from diversified cultural backgrounds need to interact with each other for various purposes.Schools and organizations offer courses to improve people’s intercultural competence.This paper examines two effective techniques to teach intercultural competence in the classroom setting:critical incident activity and cultural story telling.These two strategies can help achieve the desired objectives of Michael Byram’s intercultural communication model.

A Corpus-Based Study on the Translators’Styles in the English Versions of The True Story of Ah-Q

The True Story of Ah-Q written by Lu Xun has been translated into forty different languages,making great contributions to the external dissemination of Chinese culture.This paper adopts the corpus stylistics method to analyze the translators’styles presented by William A.Lyell and Julia Lovell’s translations of Ah-Q.Based on the self-built comparable corpus of the two translations,the paper investigates and analyzes them from the lexical and sentence level.In terms of vocabulary,the translations are statistically analyzed from the standardized type-token ratio,word frequency,word length and vocabulary density;at the sentence level,the article studies the average sentence lengths and sentence complexity.The first major finding is that Lovell’s vocabulary is richer than that of Lyell,and Lovell’s average word length is longer.Also,the average sentence length of both translations exceeds the original text,and Lovell has the highest average sentence length.Secondly,Lovell prefers to use simple sentences while Lyell prefers complex sentences.Nevertheless,both of them strive to make Lu Xun’s works understandable to foreign readers,thus understanding Chinese culture better.

An Announcement About Watching a Movie

Boys and girls,May I have your attention,please?I have something important to tell you.In order to help us know more about getting to the moon,there will be a science movie in the school hall at 7:30 this Sunday evening.The movie From the Earth to the Moon is very interesting and it tells us all about one of the greatest achievements of the 20th century—the moon landing,which is also humans’most important scientific achievement.Anyone who wants to watch the movie please get there on time.That’s all.Thank you.

Sentiment Analysis Based on Performance of Linear Support Vector Machine and Multinomial Naïve Bayes Using Movie Reviews with Baseline Techniques

Movies are the better source of entertainment.Every year,a great percentage of movies are released.People comment on movies in the form of reviews after watching them.Since it is difficult to read all of the reviews for a movie,summarizing all of the reviews will help make this decision without wasting time in reading all of the reviews.Opinion mining also known as sentiment analysis is the process of extracting subjective information from textual data.Opinion mining involves identifying and extracting the opinions of individuals,which can be positive,neutral,or negative.The task of opinion mining also called sentiment analysis is performed to understand people’s emotions and attitudes in movie reviews.Movie reviews are an important source of opinion data because they provide insight into the general public’s opinions about a particular movie.The summary of all reviews can give a general idea about the movie.This study compares baseline techniques,Logistic Regression,Random Forest Classifier,Decision Tree,K-Nearest Neighbor,Gradient Boosting Classifier,and Passive Aggressive Classifier with Linear Support Vector Machines and Multinomial Naïve Bayes on the IMDB Dataset of 50K reviews and Sentiment Polarity Dataset Version 2.0.Before applying these classifiers,in pre-processing both datasets are cleaned,duplicate data is dropped and chat words are treated for better results.On the IMDB Dataset of 50K reviews,Linear Support Vector Machines achieve the highest accuracy of 89.48%,and after hyperparameter tuning,the Passive Aggressive Classifier achieves the highest accuracy of 90.27%,while Multinomial Nave Bayes achieves the highest accuracy of 70.69%and 71.04%after hyperparameter tuning on the Sentiment Polarity Dataset Version 2.0.This study highlights the importance of sentiment analysis as a tool for understanding the emotions and attitudes in movie reviews and predicts the performance of a movie based on the average sentiment of all the reviews.

On Promoting Listening Comprehension of English Majors through Original English Movies

In recent years,with the reform of College English Teaching in China,listening has occupied a great proportion of both the examination content and classroom teaching.When everyone is seeking a high-efficiency,fast teaching method,the use of English original film teaching methods arises spontaneously.Its authentic speaking style,real language environment and rich cultural connotation not only improve the listening comprehension ability of English majors,but also enable students to intuitively understand the culture of Western countries.In this study,by referring to a large number of books and documents,this paper puts forward corresponding strategies for various problems arising from the use of English original film teaching in colleges and universities.English original film teaching can not only create a better learning environment,and stimulate students’interest in learning,but also enable students to actively participate in class discussions.

Application of conceptual costume show on the sci-fi movies

Clothing is one of the important factors to perfect present the movie for the audiences; it represents the film actor＇ s ＂second language.＂ A good audience＇ s favorite films in a wonderful show give the audience story, but also the beauty film＇ s art manifested clothing, it gives the audience a visual double enjoyment. In recent years, more and more sci-fi drama movies are loved by the people and recognized by the box office, many science fiction movies in the summer file or Lunar New Year stalls have become a box-office champion. In addition to this success, it is the use of high-tech movie, naturally inseparable from the influx of conceptual clothing. Science fiction movie is about the future vision of the world and longing, through the idea that the concept is applied to the fihn, the final screenplay conceives a screenwriter and shoot. Thus, science fiction nmvies emphasize that the ＂future＂ concept theme, movie costumes are also combined with the need to choose the theme and design, it is clear conceptual costume for sci-fi movie and it is most appropriate. The use of conceptual clothing itself, avant-garde ＂, ＂personality＂ has a sense of future space features, you can add heavy feeling for the future concept of the film, while also provide some support for the fihn to create a science fiction theme.

Application of laminated vierendeel truss in high-position transfer story structure

To meet the demands for large space and flexible compartmentation ofbuildings, laminated vierendeel trasses are adopted in high-position transfer story structures.First the bearing characteristics are analyzed, in which reasonable stiffness ratio of the upperchord, middle chord, and lower chord is derived. Then combined with an actual engineering model (1:8similar ratio), the static loading and pseudo-dynamic tests of two models for laminated vierendeeltrass used in transfer story structures are conducted, in which one model adopts reinforcedconcrete, and the other adopts prestressed concrete and shape steel concrete. Seismic behaviors areanalyzed, including inter-story displacement, base shear-displacement skeleton curves, andequivalent viscosity-damping curves. A program is programmed to carry out the elasto-plastic dynamicanalysis, and displacement time-history curves of the two models are derived. The test and analysisresults show that the laminated vierendeel trass with prestressed concrete and shape steel concretehas excellent seismic behaviors. It can solve the disadvantages of laminated vierendeel trussesused in transfer story structures. Finally, some design suggestions are put forward, which can bereferenced by similar engineering.

English Movie:A Smart Method to Teach English

English movies are the cultural carriers of English-speaking countries with veritable colloquial expressions, authentic environment and abundant cultural connotation. Teaching English through English movies can not only help students learn English language, but also acquire English culture. It's also an effective way to improve students' oral English and their accultural communication ability.

化学情境资源开发的实用工具——Movie Maker

本文介绍应用Windows Movie Maker软件制作化学教学视频的过程,包括软件使用、导入素材、组合脚本、转场特效、影像特效、添加音乐、电影预览、添加字幕、制作片头片尾、导出电影等各项功能。

On Chinese translation of English movie titles

The translation of titles is the important part in the translation of movies. This paper proposes three principles and summarizes six translation methods in the translation of movie titles.

A Comparative Analysis of Different Culture Values Reflected in the Disney Movie Mulan

Taking American Disney Movie Mulan as an object of research, this paper intends to compare Chinese and American cultural differences from three aspects, filial piety vs. individualism, family priority vs. the pursuit of success and gender discrimination vs. feminism.

Translation of Movie Titles Guided by Foreignization Theory

On the basis of introducing the theory of foreignization,this paper aims to discuss the translation of movie titles with the application of it and a conclusion is drawn that foreignization can retain the characteristics of the original movie titles to keep a distance between the source language culture and target language culture.