Old New York was Wharton's term to describe this wealthy and elite class at the top of
the developing city's social hierarchy, a society which was utterly intent on maintaining its
own rigid stability. Even though, the roles of women in American society changed drastically
from 1820’s to 1860’s due to the civil war and such a progression was due in part to the
revolutionary thoughts. Women started taking their right to speak up openly and frankly and
become more like men. The role of many women had changed from being homemaker to
being able to provide for the family by either getting a job or start to be allowed to have a
voice. They had important roles not only in helping the family, but in sharing to rebuild the
nation. As a whole, they helped to clean up the process of urbanization and immigration,
helping literature grow and helping change the ongoing problem of woman’s suffrage. Old
New York society to which Edith Wharton belonged did not give equality to women in legal,
economic, and sexual matters. The society considered woman supremely satisfying object of
masculine possession. Old New York imposed on its members set rules and expectations for
practically everything; manners, fashions, behaviors, and even conversations.
Edith Wharton focuses on female’s characters more than men in her novels. She tries
to show the sufferings of women and her society attitudes towards them, especially the
divorced women. Countess Ellen Olenska represents the major female character in The Age of
Innocence .She is considered a perfect example of women’s agony. Wharton presents Ellen
Olenska as the sophisticate, a woman who has been lived amid the aristocracy of Europe and
has seen the different world. Her style of dress and her manners are exotic to New York eyes,
especially in her interactions with men. Everything about Olenska signaled her foreignness.
She is delineated as the victim of old New York society. New York is again the center of
bizarre traditions and customs.
The matter of Divorce and leaving a husband is unacceptable in New York society.
Ellen wants to go home, to people who would accept her but she finds the society she is
heading to be not easily accessible and also is not willing to receive anyone from the outside
world. Ellen feels alienated and trapped when she returns to New York society. She wishes to
reclaim her freedom by divorcing her husband, but she is discouraged from this action
because all the people around her especially her family fear unpleasant gossip.
Ellen is not a mere character. She is a new heroine and representative because she
stands for all female characters who try to make changes in Old New society.
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Bipedal robotic mechanisms are unstable due to the unilateral contact passive joint between the sole and the ground. Hierarchical control layers are crucial for creating walking patterns, stabilizing locomotion, and ensuring correct angular trajectories for bipedal joints due to the system’s various degrees of freedom. This work provides a hierarchical control scheme for a bipedal robot that focuses on balance (stabilization) and low-level tracking control while considering flexible joints. The stabilization control method uses the Newton–Euler formulation to establish a mathematical relationship between the zero-moment point (ZMP) and the center of mass (COM), resulting in highly nonlinear and coupled dynamic equations. Adaptiv
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Background The appropriate disposal of medication is a well-recognized issue that has convened growing recognition in several contexts. Insufficient awareness relating to appropriate methods for the disposal of unneeded medicine may result in notable consequences. The current research was conducted among the public in Iraq with the aim of examining their knowledge, attitude, and practices regarding the proper disposal of unused and expired medicines. Methods The present study used an observational cross-sectional design that was community-based. The data were obtained from using an online questionnaire. The study sample included people of diverse genders, regardless of their race or occupational status. The study mandated that all pa
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Software-defined networks (SDN) have a centralized control architecture that makes them a tempting target for cyber attackers. One of the major threats is distributed denial of service (DDoS) attacks. It aims to exhaust network resources to make its services unavailable to legitimate users. DDoS attack detection based on machine learning algorithms is considered one of the most used techniques in SDN security. In this paper, four machine learning techniques (Random Forest, K-nearest neighbors, Naive Bayes, and Logistic Regression) have been tested to detect DDoS attacks. Also, a mitigation technique has been used to eliminate the attack effect on SDN. RF and KNN were selected because of their high accuracy results. Three types of ne
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In this study, manganese dioxide (MnO₂) nanoparticles (NPs) were synthesized via the hydrothermal method and utilized for the adsorption of Janus green dye (JG) from aqueous solutions. The effects of MnO₂ NPs on kinetics and diffusion were also analyzed. The synthesized NPs were characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), energy-dispersive X-ray analysis (EDX), and Fourier-transform infrared spectroscopy (FT-IR), with XRD confirming the nanoparticle size of 6.23 nm. The adsorption kinetics were investigated using three models: pseudo-first-order (PFO), pseudo-second-order (PSO), and the intraparticle diffusion model. The PSO model provided the best fit (R² = 0.999), indicating that the adsorpti
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