Hunger Games Research Articles

FEMINISM IN SUZANNE COLLINS’ NOVEL THE HUNGER GAMES

This study explores the feminist themes embedded within Suzanne Collins' The Hunger Games, focusing on the character of Katniss Everdeen as a symbol of resistance and empowerment. The research aims to analyze the different types of feminism manifested in the novel, examining how Collins challenges traditional gender roles and societal expectations through her protagonist. The study applies sociology of literature approach, which considers the social context and implications of literary works, and utilizes feminist theories, including liberal and radical feminism, to interpret Katniss’s journey. The findings suggest that Katniss embodies both liberal and radical feminist ideals, using her defiance of oppressive authority to fight for personal freedom and gender equality. Katniss’s actions, from assuming the role of family provider to resisting the Capitol’s control, exemplify the themes of self-determination, independence, and the rejection of traditional gender norms. The portrayal of Katniss as a resourceful and brave figure, often adopting traits typically associated with masculinity, reveals the novel's critique of gender stereotypes and its call for a more inclusive understanding of strength and leadership. Ultimately, The Hunger Games serves as a powerful narrative for discussing feminism, challenging the boundaries of gender roles, and highlighting the potential for individual actions to spark social change.

The Characterization of Female Protagonists from the Perspective of Hofstede’s Cultural Dimension Theory: A Case Study of the Hunger Games Series

The female protagonist Katniss portrayed in the "Hunger Games" film series breaks free from the constraints of mainstream films on female protagonist images. Such a young woman can make brave choices as the protagonist in a tyrannical and chaotic world full of oppression and slaughter, not relying on those men and igniting a revolutionary wave. This is extremely rare in mainstream commercial films. In this paper, text analysis and comparative analysis will be used as the main research methods. First of all, with the help of Hofstede’s theory of cultural dimensions, the Hunger Games series of films is carefully analyzed, the construction process of Katniss’s image and his personality characteristics are deeply explored, and an attempt is made to bring a new interpretation to the audience. The purposes of this study are to draw attention to how important Katniss’s role has been in subverting conventional gender norms in movies and to provide some references for future studies.

Optimized Data Replication in Cloud Using Hybrid Optimization Approach

ABSTRACTCloud computing (CC), in contrast to traditional high‐performance computing environments, is a group of imaginary and networked resources of computing that are controlled by one unified maximum‐performance computing power. Here, this work aims to develop a novel data replication method in the cloud. The data replication is carried out with a new multi‐objective technique that considers constraints like cost, the distance between data centers, trust, and risk. Moreover, for optimal data replication, a new hybrid algorithm termed poor rich strategy assisted grasshopper optimization (PRS‐GO) is introduced. To increase the accessibility of the system, the data used continuously should be duplicated in various areas. A minimal mean value of 0.66 is gained with the PRS‐GO scheme, whereas Particle Swarm Optimization‐Tabu Search (PSO + TS), Receding Horizon Control (RHC), Sun Flower Optimization (SFO), Cat Mouse‐Based Optimization (CMBO), Hunger Games Search Optimization (HGSO), Seagull Optimization (SGO), Poor And Rich Optimization (PRO), and Grasshopper Optimization Algorithm (GOA) have got a high mean value of 0.722, 0.71, 0.71, 0.71, 0.7, 0.7, 0.7, and 0.69.

A Comparative Study of Max Weber and Foucault's Perspectives on Power: Taking the Film Snowpiercer as a Case

Abstract: In the academic field, the concept of power has been a subject of extensive research. Scholars have explored its various dimensions, including its sources, manifestations, and effects on social structures and individual lives. Power is often seen as a key factor in shaping social hierarchies and inequalities. Some movies that reflect the realities and social class status quo include Parasite, The Hunger Games, and Snowpiercer. These films offer insights into the struggles and conflicts arising from power imbalances. The purpose of this study is to explore the differences in the authoritative theoretical views of Max Weber and Foucault, and to analyze them using the film "The Snowy Train" as an example. By reviewing relevant literature and interpreting movies, reveal the differences between the two theories in terms of power concepts, social order, and other aspects. The study adopted literature research and case analysis methods to provide new perspectives for a deeper understanding of authoritative theories.

Aktivisme, Budaya Populer, dan Media: Paradigma Protes terhadap Three Finger Salute dalam Berita Reuters

This study investigates the framing and presences of the protest paradigm in Reuters' coverage of activism events in Southeast Asia involving The Hunger Games' Three Finger Salute. In recent years, several protests in the region have adopted this salute as a means of expressing dissent against their respective governments. These diverse activisms not only attract media attention as political events but also signify interconnected political phenomena through a gesture inspired by popular narratives such The Hunger Games. Reuters, an international news agency, has shown a heightened interest in this phenomenon compared to other news agencies that focusing solely on political activities. While it is common for news reports to embody the protest paradigm when covering activism, Reuters' coverage specific focus on events involving the Three Finger Salute sets it apart. The protest paradigm highlights the media's tendency to depict social protests with a negative sentiment. Through text and framing analysis, this research delves into how Reuters selectively emphasizes certain aspects of these fan activisms. The findings reveal that Reuters framed the coverage of fan activisms around authoritarian government, youth and student, and royalist. Reuters also has negative sentiment and continues to perpetuate the protest paradigm.

Optimization of vehicle conceptual design problems using an enhanced hunger games search algorithm

Abstract Electric vehicles have become a standard means of transportation in the last 10 years. This paper aims to formalize design optimization problems for electric vehicle components. It presents a tool conceptual design technique with a hunger games search optimizer that incorporates dynamic adversary-based learning and diversity leader (referred to as HGS-DOL-DIL) to overcome the local optimum trap and low convergence rate limitations of the Hunger Games search algorithm to improve the convergence rate. The performance of the proposed algorithms is studied on six widely used engineering design problems, complex constraints, and discrete variables. For the HGS-DOL-DIL practical feasibility analysis, a case study of shape optimization of an electric car suspension arm from the industry is carried out. Overall, the inclusion of the OL strategy has proven its superiority in solving real-world problems, especially in solving real-world problems such as shape optimization of an electric vehicle automobile suspension arm, showing that the algorithm improves the search space improves the solution quality, and reflects its potential to find global optimum solutions in a well-balanced exploration and exploitation phase.

A Weighted AIMD Congestion Control Algorithm for Device-to-Device Communication in 5G Network

ABSTRACT Device-to-Device (D2D) communication offers promising benefits in 5G networks in terms of improved throughput and reduced latency. However, efficient congestion control remains a critical challenge to ensure optimal performance and resource utilization. Existing congestion control mechanisms often struggle with adapting to dynamic network conditions, leading to inefficiencies, such as underutilization of network resources or excessive packet loss. This paper addresses these challenges by proposing a novel Weighted AIMD congestion control algorithm tailored specifically for D2D communication in 5G networks (WACC-D2DC-5GN). Here, the Weighted AIMD Congestion Control Algorithm is proposed for estimating available bandwidth and Hunger Games Search Optimization to optimize the weight parameter of WACC. The proposed algorithm integrates weighted factors that dynamically adjust congestion window sizes based on real-time network feedback. Simulations are run on the NS3-mmWave module, NS3 LTE-A module. The simulation outcomes show that the proposed WACC-D2DC-5GN method attains 27.26%, 20.41%, and 23.26% higher SNR and 16.20%, 26.97%, and 30.34% higher Throughput when analysed with existing techniques like NexGen D-TCP: next generation dynamic TCP congestion control approach (NGD-TCP-CCA), user-centric channel allocation system for 5G higher-speed users by using ML to decrease handover rate (UCC-HSU-MLA), and efficient with reliable hybrid deep learning-allowed method for congestion control in 5G/6G networks (HDL-EMC-CN) respectively.

SExpHGS-based DBN: Serial exponential hunger games search algorithm-based deep belief network for heartbeat classification using ECG signal

Electrocardiogram (ECG) signal plays an important role in monitoring and diagnosing patients who suffer from several cardiovascular diseases. Numerous conventional techniques designed for cardiovascular disease classification face challenges regarding classification accuracy and also, find difficulty in automatic monitoring and classification techniques. Therefore, this work aspires to design a robust approach, which can precisely classify the ECG even in the presence of noise. Following that, this research introduces the heartbeat classification scheme by utilizing the optimization-based deep learning scheme. Here, the optimization algorithm, called the Serial Exponential Hunger Games Search Algorithm (SExpHGS) is newly designed by integrating the serial exponential weighted moving average concept in the Hunger Games Search (HGS) approach to train deep learning scheme. Initially, the pre-processing is performed by utilizing a median filter and subsequently, wave components are detected by utilizing the resolution wavelet-based scheme. Ultimately, SExpHGS-based Deep Belief Network (SExpHGS-based DBN) recognizes the ECG conditions of individuals. Here, the techniques are analyzed by utilizing the ECG Lead 2 Dataset PhysioNet dataset and analysis is carried out based on performance parameters, namely accuracy, specificity, and sensitivity. The attained values of the aforementioned metrics are 0.954, 0.965, and 0.938, correspondingly.

Full-parametric and joint inversion of multi-mode surface wave data for identifying glacial ice thickness and freezing extent in subglacial sediments via Hunger Games Search Algorithm

Full-parametric and joint inversion of multi-mode surface wave data for identifying glacial ice thickness and freezing extent in subglacial sediments via Hunger Games Search Algorithm

Connected Dominating Set Construction Using the Hunger Games Search Optimisation Algorithm in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) play a significant role in monitoring changes in the physical environment, relying on a subset of designated nodes known as the Connected Dominating Set (CDS) to facilitate communication and serve as the network's virtual backbone for routing and clustering. Despite the various algorithms for CDS construction, the challenges persist in terms of construction cost and scalability. In this context, this paper introduces the utilisation of the Hunger Games Search Optimisation Algorithm (HGSOA) for Connected Dominating Set Construction in Wireless Sensor Networks (HGSOA-CDS-WSN). The primary intention of this paper is “to develop a technique capable of constructing small-sized CDS with reduced construction costs, particularly suitable for uniformly or randomly distributed nodes”. The proposed HGSOA-CDS-WSN method is implemented in MATLAB based on various metrics. The results are compared with those of existing techniques, such as the Parallel Structure from Motion for UAV Pictures using Weighted CDS (PSfM-CDS-WSN), Polyhedra Associated with Locating-Dominating, Open Locating-Dominating, and Locating Total-Dominating Sets in Graphs (PAL-CDS-WSN), and Sustainable Maintenance of Connected Dominating Set by Solar Energy Harvesting for Internet of Things Networks (SHE-CDS-WSN). The proposed technique achieves lower delay by 13.24%, 25.64%, and 9.96%, and higher throughput by 18.34%, 24.55%, and 23.04% compared to the existing methods. This systematic evaluation underscores the efficacy and superiority of the proposed HGSOA-CDS-WSN technique in terms of connected dominating set size, construction time, energy efficiency, network stability, and overall performance, highlighting its potential to advance wireless sensor network applications.

Prediction of electricity load generated by Combined Cycle Power Plants using integration of machine learning methods and HGS algorithm

Combined Cycle Power Plants offer an efficient and environmentally friendly means of electricity generation, albeit with challenges in accurately predicting power output. This study proposes a hybrid model to forecast the total electrical power load in these plants by leveraging key input variables. Five machine learning algorithms, including Categorical Boosting, Histogram-based Gradient Boosting Regression, Extreme Gradient Boosting Regression, Light Gradient Boosting Machine, and Support Vector Regression, were employed, with their predictions optimized using the Hunger Games Search algorithm. This integration resulted in five hybrid models, with the combination of Hunger Games Search and Categorical Boosting emerging as the most effective, demonstrating superior performance in test datasets with an R2 value of 0.9735 and a mean absolute error of 2.05525. The Hunger Games Search algorithm enhanced prediction accuracy by fine-tuning core algorithm parameters. Comprehensive case analysis and metric evaluation underscored the efficacy of the proposed model for hourly power load forecasting in Combined Cycle Power Plants, although the hybrid model combining Hunger Games Search and Support Vector Regression exhibited comparatively poorer performance in test datasets with R2 of 0.9551 and a mean absolute error of 2.71211. The recommendation to integrate Categorical Boosting with the Hunger Games Search algorithm stands as a robust strategy for enhancing power load prediction in these power plants, promising greater operational efficiency and reliability in electricity generation.

Social Values in The Novel The Hunger Games by Suzanne Collins

This research aims to explain the social values in the novel The Hunger Games. The research method used is in the form of qualitative descriptive using content data analysis. The data of this research is in the form of words, sentences, and speech (dialogue) contained in the novel. The results of this study show that there is a social phenomenon in the story that contains competition, betrayal, and the existence of social gaps between the characters, but in this story there are also social values that can be learned, namely: 1) the value of affection consisting of loyalty, help, and care, 2) the value of responsibility in the form of the value of empathy and mutual ownership, 3) the value of life harmony in the form of cooperation.

Language Style Analysis in The Hunger Games Movie

This study analyzes the language style used in the utterances of the main characters (i.e., Katniss Everdeen and Peeta Mellark) in The Hunger Games Movie. The relevant data was obtained using a qualitative method, especially the documentation method. This study also presents the language style most often used by the main characters, focusing on the five language style features and functions proposed by Martin Joos (1976): formal style, consultative style, casual style, intimate style and frozen style. Overall, we found that the casual style is more often used than the other language styles. More specifically, there are 70 data that convey particular language styles, the distribution of which is as follows: 1 frozen style data, 18 formal style data, 10 consultative style data, 27 casual style data, and 14 intimate style data.

Katniss Everdeen’s Act of Rebellion in the Hunger Games Movie

This study is about the analysis of Katniss Everdeen’s Act of Rebellion in the Hunger Games Movie. This study aims to answer three research questions about Katniss Everdeen’s rebellious actions. The first is what are the causes of Katniss's rebellious actions? The second is what are the effects of Katniss's rebellious actions? The third is what are the types of Katniss's rebellion? In this study, the writer uses qualitative research. The writer uses the theory of Marxism by Karl Marx in Tsoulfidis (2010) and the theory of Rebellion by Kautilya (1986). The finding shows 3 (three) causes of Katniss’ Rebellion. They are resource imbalance, provocation, and social inequalities as key factors. Regarding the effects of Katniss‘ rebellion, the finding shows 2 (two) effects. They are negative and positive impacts. Regarding the types of Katniss‘ rebellion, the writer found 5 (five) types of Katniss‘ Rebellion. They are Non-violent rebellion, Violent rebellion, social rebellion, Political rebellion, and Ideological rebellion.

Child and Youth Participatory Fan Play: Challenging Adult Assumptions through Fanfiction, Fanvids, and Cosplay

This resource piece explores commonly held adult beliefs about young people’s play and challenges some of these ideas through published research and examples from child and youth participatory fan cultures. We begin this piece by examining some of these misconceptions and myths, primarily the ideas that children’s play is in decline, that children’s play is trivial and non-productive, that popular culture reduces children’s desire to play, and that children are no longer creating their own cultural artifacts (Small 259). Challenging these assumptions, we discuss the ways that children and youth engage in three participatory fan activities—writing fanfiction, creating fan videos, and participating in cosplay—drawing on examples from a range of popular youth fandoms including Harry Potter, Girl Meets World, Percy Jackson, The Avengers, Monster High, and the Hunger Games.

Multi-objective optimization of engineered cementitious composite based on machine learning and generative adversarial network

This study aims to establish a novel framework for mixture design optimization of engineered cementitious composite (ECC) by first collecting two original datasets of ECC's tensile stress and strain from the extensive and credible literature. The datasets comprise a wide range of variables including cementitious ingredients, 9 types of fiber and characteristics, admixtures, and experimental conditions. The data augmentation is then performed using a tuned constraints-modified Conditional Tabular Generative Adversarial Network (Tuned-CTGAN) to increase the model accuracy and generalizability. The fitness functions of tensile stress and strain are established based on four machine learning models with the hyperparameters tuned by the Hunger Games search (HGS) algorithm. After the data augmentation, the values of R2 in their test sets are increased from 0.874 to 0.925 and from 0.772 to 0.889, respectively. Subsequently, the third objective function (cost) is computed by polynomials and four classes of constraints (Min-max, volume, ratio, and fiber) are set up to define the variable's search space. A non-dominated sorting genetic algorithm based on reference-point strategy (NSGA-III) is introduced to optimize the mixture proportions of ECC by simultaneously optimizing tensile stress, tensile strain, and cost. This paper combines the results of data augmentation, model prediction, and multi-objective optimization for complex ECC design, which aims to provide a basis for practical application.

Mulheres distópicas: representações femininas em Nós e Jogos vorazes

This paper aims to compare the representations of women in the novels We, by Yevgeny Zamiátin, and The hunger games, by Suzanne Collins, to examine how women are represented in dystopian literature and whether there are significant changes in these representations in the 20th and 21st centuries and how they influence the construction of the dystopian novel. The study was based on feminist and cultural theories, which helped to understand the processes of oppression and resistance present in the characters O-90 and I-330 in Zamiátin's novel and Katniss Everdeen in Suzanne Collins' narrative. The study concludes that, in classic dystopias, women were often portrayed in a stereotyped and unimportant way, despite being essential to the development of the plot, while in more recent works they play a leading role, both in the writing and as characters. However, they are still held responsible for the mistakes they make and suffer greater repression than men. Finally, by placing the characters side by side, it was possible to understand that women are of paramount importance to the construction of dystopia as literature, because they are the most critical characters within the plot, who make it possible to fulfill the dystopia’s premise: to build critical thinking in its reader from an exaggerated reality.

Of Shadowcats and Pipeweed: Fantastic Animal and Plant Names in a Cross-linguistic Comparison

The paper focuses on the names of fictitious species of animals and plants and on their position in the creation of fictional worlds. The examined sample of occasionalisms, or nonce words, is drawn from popular and influential writings, which include J. R. R. Tolkien’s works, Terry Pratchett’s texts, J. K. Rowling’s Harry Potter series, Suzanne Collins’s The Hunger Games series and George R. R. Martin’s The Song of Ice and Fire series. The position of the sign in the word-formation system of both the original language of the work and of selected translations is analyzed – mainly English, German, and Czech versions are taken into account. A cross-linguistic comparison leads to the conclusion that the choices made by the writer or the translator in naming fictional species correspond, on the one hand, to the linguistic habits of the language in question, while, on the other hand, providing room for linguistic experimentation and influence from the language of the original text. The paper also shows how the chosen texts, through the usage of fictitious names of species, attempt to meet the readers’ expectations for speculative literature. The presence of boundary crossing, hybridization, and linguistic creativity makes foregrounded world-building possible. However, accentuated connections between the words and between the species of the fictional and the actual world also show that an unambiguous, simpler world is presented this way. Word-formation is presented by the study as a way to link the actual world and the simplified speculative world, thus highlighting its importance.

Numbers

Prior to October 2023, I knew embarassingly little about the ongoing occupation of Palestine, and it wasn't until I reconnected with a childhood friend that I started to really pay attention to what had been happening following the October 7th attack. I knew of Israel's military capacity and the seemingly limitless support by the United States, but it wasn't until I began to follow grassroot media and civilians in Gaza that I understood the true extent of the conflict. Each day since, I've been struggling to comprehend why the my community and my country as a whole seems to remain largely unaffected. I've struggled with understanding why I can scroll through videos of homes reduced to rubble, testaments to history ---libraries, mosques, etc.--- reduced to ash, and dead children, only to find clips of Taylor Swift and Travic Kelce or edits of the new Hunger Games movie sprinkled in between. The kind of nonchalence and willful ignorance I've seen from strangers and loved ones has been such a surreal thing to experience. I've been writing a lot of poetry to cope with it, and this was one of those poems.

APPLICATION OF EQUIVALENT TRANSLATION AND LEXICAL TRANSFORMATIONS IN TRANSLATION OF ABSTRACT NOUNS (cased on the material of the work of S. Collins “The Hunger Games”)

The article generally analyzes the translation methods of abstract nouns in the fantastic work “The Hunger Games” by S. Collins using equivalent translation and lexical transformations. This question is relevant for modern translation studies since abstract nouns play asignificant role in the systems of modern languages of the world and are a large group among other classes of nouns. The author explores the specifics of translating abstract concepts in the context of fantasy literature and considers various strategies that can be used to preserve the meaning and emotional nuance of the original. Based on examples from The Hunger Games, the author shows which vocabulary transformations can be used to achieve the most accurate and effective translation. The results of the study indicate the importance of a careful approach to the translation of abstract nouns in the fantasy genre and the use of various translation strategies. The relevance of the research, therefore, is determined by the insufficient degree of study of the problem of translating abstract nouns in fiction from English to Ukrainian. We see the prospects of the research in the analysis of lexical transformations in the translation of textfragments with abstract nouns in the Ukrainian language.