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Arthur Miller’s Tragedy as Reflected in The Crucible
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In the period immediately following the end of World War II, American theatre was transformed by the work of playwright Arthur Miller. Miller tapped into a sense of dissatisfaction and unrest within the greater American psyche because he was profoundly influenced by the depression and the war that immediately followed it. His dramas proved to be both the conscience and redemption of the times; allowing people an honest view of the direction the country had taken.1 Miller has his own concept of tragedy as a modern playwright. He believes that tragedy may depict ordinary people in domestic surroundings instead of talking about a character from a high rank, a king or a queen. Miller’s main concern lies in dramatizing the whole man as he is part of a family and as he is part of a society. In this paper, The Crucible is going to be considered in detail as one of the major tragedies of Arthur Miller. Miller’s The Crucible is based on the events surrounding the 1692 witch trials of Salem, Massachusetts. Miller used that event as an allegory for McCarthyism and the Red Scare, which was a period of time in which Americans were in fear of communism and the government blacklisted accused communists. The play was first performed on Broadway on January 22, 1953. The reviews of the first production were hostile, but a year later a new production succeeded and the play became a classic. The play in the present time is often studied in high schools and universities because of its status as a revolutionary work of theatre and as a document to political events of the 1950s. This play is regarded as one of the best plays of the modern age, due to its deep and captivating plot.2 Miller’s The Crucible is essentially a critique of McCarthyism and the communist scare of the 1950s. Miller saw the parallels between the witch hunts and the McCarthy trials, and found the witch trials to be a compelling vehicle for discussing modern events. The play is a great tragedy, but remains a tragedy for the modern times. The characters in this play suggest what Miller tries to show his readers the lessons from the witch hunts which still apply.3 After performing, the audience is convinced that this play remains relevant and powerful in the twenty-first century. This play can be related to the contemporary world events. It shows the willingness of human beings to blame anyone but themselves. It reinforces the belief that humans are not ready to take responsibility for their actions and would rather find a scapegoat. 

Miller went back to American history and dug up the records of the Salem witchcraft trails and created his own characters based on the few facts of “known behavior” of the persons involved. The result is a powerful indictment of mass hysteria and savage fury born of terror and superstition. In John Proctor, the tragic hero of The Crucible, Miller has created one of the few heroes of modern drama. A blunt, honest man, but neither an exceptionally good nor a complicated one, Proctor grows with the pressure of circumstances. Like most of Miller’s heroes, Proctor asks to preserve the honour of his name, his right to face himself and his children without apology. However, when a society has gone mad, such a simple reasonable desire makes a man on enemy of the state.4 This paper deals with Arthur Miller as a great playwright of tragedy. It consists of an introduction and two sections. The first section tackles Miller’s concept of tragedy and his view about the common man. Then, section two deals with The Crucible as Miller’s special tragedy and the conclusion reflects what is found out in this paper.

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Publication Date
Wed Feb 01 2017
Journal Name
Journal Of Controlled Release
Surface engineering tumor cells with adjuvant-loaded particles for use as cancer vaccines
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Publication Date
Tue Feb 14 2023
Journal Name
Journal Of Educational And Psychological Researches
Vocabulary Learning Strategies Employed by English as Foreign Language Students at NBU University
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ABSTRACT

Learning vocabulary is a challenging task for female English as a foreign language (EFL) students. Thus, improving students’ knowledge of vocabulary is critical if they are to make progress in learning a new language. The current study aimed at exploring the vocabulary learning strategies used by EFL students at Northern Border University (NBU). It also aimed to identify the mechanisms applied by EFL students at NBU University to learn vocabulary. It also aimed at evaluating the approaches adopted by EFL female students at Northern Border University (NBU) to learn a language. The study adopted the descriptive-analytical method. Two research instruments were developed to collect data namely, a survey qu

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Publication Date
Thu Feb 01 2024
Journal Name
Heliyon
Removal of amoxicillin from contaminated water using modified bentonite as a reactive material
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This study concerns the removal of a trihydrate antibiotic (Amoxicillin) from synthetically contaminated water by adsorption on modified bentonite. The bentonite was modified using hexadecyl trimethyl ammonium bromide (HTAB), which turned it from a hydrophilic to a hydrophobic material. The effects of different parameters were studied in batch experiments. These parameters were contact time, solution pH, agitation speed, initial concentration (C0) of the contaminant, and adsorbent dosage. Maximum removal of amoxicillin (93 %) was achieved at contact time = 240 min, pH = 10, agitation speed = 200 rpm, initial concentration = 30 ppm, and adsorbent dosage = 3 g bentonite per 1L of pollutant solution. The characterization of the adsorbent, modi

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Publication Date
Wed Jul 06 2022
Journal Name
International Journal Of Biomaterials
Extracellular Enzyme of Endophytic Fungi Isolated from Ziziphus spina Leaves as Medicinal Plant
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Endophytic fungi live inside plants or any part of them without creating any visible pathogenic signs. Endophytic fungi are found within medicinal plants and have shown strong biologic activity, such as anticancer and antioxidant activities, as well as producing extracellular enzymes. In this study, different fungal strains were isolated from the leaves of the medicinal plant Ziziphus spina, including Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, Cladosporium sp., Rhizopus sp., and Mucor sp. Extracellular enzymes have been quantified using agar plate-based methods in which fungi were grown in specified growth media to detect the enzymes produced. The results showed that A. niger has the highest ability to produce amy

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Publication Date
Fri Sep 30 2022
Journal Name
College Of Islamic Sciences
TYPES OF THINKING ACCORDING TO IBN AL-QAYYIM (Analytical Thinking as a Model)
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The human intellect and his ability to complex thinking is a characteristic that Allah has given him above all his creatures. Islam came to encourage the utilization of the mind by thought, contemplation and consideration of the kingdom of Allah, His signs and religion, and He gave us a set of legislation that preserves the mind and protects it from falling into error or deviation.

This research deals with one of the most important components of civilizations in general and Islamic civilization in particular, which is thinking and what is related to it. It is an essential and influential component in man's dealing with life around him and the for

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Publication Date
Tue Jun 01 2021
Journal Name
International Journal Of Aquatic Sience
Helminths and their fish hosts as bioindicators of heavy metal pollution: A review
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Publication Date
Sun Apr 14 2024
Journal Name
Kufa Journal For Agricultural Sciences
Growth and production of three potato cultivars as affected by organic foliar nutrition
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Publication Date
Mon Mar 01 2021
Journal Name
Al-khwarizmi Engineering Journal
Adsorption of Indigo Carmen Dye by Using Corn Leaves as Natural Adsorbent Material
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    In this paper, the ability of using corn leaves as low-cost natural biowaste adsorbent material for the removal of Indigo Carmen (IC) dye was studied. Batch mode system was used to study several parameters such as, contact time (4 days), concentration of dye (10-50) ppm, adsorbent dosage (0.05-0.25) gram, pH (2-12) and temperature (30-60) oC. The corn leaf was characterized by Fourier-transform infrared spectroscopy device before and after the adsorption process of the IC dye and scanning electron microscope device was used to find the morphology of the adsorbent material. The experimental data was imputing with several isotherms where it fits with Freundlich (R2 = 0.9937) and followed pseudo second order kinetic. The hi

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Publication Date
Mon Feb 01 2021
Journal Name
Journal Of Engineering
Decolorizing of Malachite Green Dye by Adsorption Using Corn Leaves as Adsorbent Material
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This paper presents the ability to use cheap adsorbent (corn leaf) for the removal of Malachite Green (MG) dye from its aqueous solution. A batch mode was used to study several factors, dye concentration (50-150) ppm, adsorbent dosage (0.5-2.5) g/L, contact time (1-4) day, pH (2-10), and temperature (30-60)   The results indicated that the removal efficiency increases with the increase of adsorbent dosage and contact time, while inversely proportional to the increase in pH and temperature. An SEM device characterized the adsorbent corn leaves. The adsorption's resulting data were in agreement with Freundlich isotherm according to the regression analysis, and the kinetics data followed pseudo-first-order kinetic with a correlation

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Publication Date
Fri Aug 12 2022
Journal Name
Future Internet
Improved DDoS Detection Utilizing Deep Neural Networks and Feedforward Neural Networks as Autoencoder
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Software-defined networking (SDN) is an innovative network paradigm, offering substantial control of network operation through a network’s architecture. SDN is an ideal platform for implementing projects involving distributed applications, security solutions, and decentralized network administration in a multitenant data center environment due to its programmability. As its usage rapidly expands, network security threats are becoming more frequent, leading SDN security to be of significant concern. Machine-learning (ML) techniques for intrusion detection of DDoS attacks in SDN networks utilize standard datasets and fail to cover all classification aspects, resulting in under-coverage of attack diversity. This paper proposes a hybr

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