‘Ode to a Nightingale’(1819) is a typical poem of a Romantic poet like John Keats, but
‘The Nightingale’(1798) is an uncharacteristic poem of a Romantic poet like Coleridge.
The paper proposes a comparison between Coleridge’s ‘The Nightingale’ and Keats’
‘Ode to a Nightingale’.Coleridge’s poem diverges from the Romantic norm; it carries some
characteristics new to Romantic poetry like the realistic and objective portrayals of nature and
the nightingale, while Keats’ poem adhere to the characteristics of Romantic poetry; it
portrays nature and the nightingale subjectively and unrealistically. Coleridge’s poem is very
much influenced by the scientific approaches to environment, and natural history which have
emerged at the end of the 18th C., and this influence has led Coleridge to diverge from the
Romantic norm, while Keats’ Ode does not react to this emergence, it preserves the prominent
features of Romantic poetry, though it follows Coleridge’s poem in not more than twenty one
years.
The paper is divided into two sections, and a conclusion. The first section, ‘Coleridge’s
Divergence from the Romantic Norm’starts with presenting Coleridge as the conventional
Romantic poet who is not different from Keats nor any other major Romantic poet in
depicting nature and the nightingale in most of his poems, with the aim to highlight his
sudden divergence from his Romantic line in ‘The Nightingale’. The part moves to discuss
Coleridge’s abandonment of the characteristics previously mentioned of Romantic poetry in
his ‘The Nightingale’ through his realistic and objective approaches to the nightingale which
come as a reaction to the occurrence of natural and ornithological studies.
The second section, ‘Keats’ Adherence to the Romantic Norm’ discusses Keats’
preservation of the prominent characteristics of Romantic poetry in his ‘Ode to a Nightingale’
like escapism, allusion, imitation of Milton, the unrealistic and subjective approaches to
nature and the nightingale,and degenderization of the nightingale which all point out Keats’
disregard for the occurrence of scientific approaches to nature and the bird at the time.
Finally, the conclusion sums up the findings of the study.
Background: The main aim of the present study is to qualify and quantify voids formation of root canals obturated with GuttaCore (GC) and experimental Hydroxyapatite polyethylene (HA/PE) as new carrier-based root canal fillings by using micro computed tomography scan. Materials and methods: In the present study, eight straight single-rooted human permanent premolar teeth are selected and disinfected, then stored in distilled water. The teeth decoronated leaving a root length of 12mm each. The root canals instrumented by using crown down technique and the apical diameter of the root canal prepared to a size # 30/0.04 for achieving standardized measurements. A 5mL of 17% EDTA used to remove the smear layer followed by 5mL of 2.5% NaOCl and r
... Show MoreMost Internet of Vehicles (IoV) applications are delay-sensitive and require resources for data storage and tasks processing, which is very difficult to afford by vehicles. Such tasks are often offloaded to more powerful entities, like cloud and fog servers. Fog computing is decentralized infrastructure located between data source and cloud, supplies several benefits that make it a non-frivolous extension of the cloud. The high volume data which is generated by vehicles’ sensors and also the limited computation capabilities of vehicles have imposed several challenges on VANETs systems. Therefore, VANETs is integrated with fog computing to form a paradigm namely Vehicular Fog Computing (VFC) which provide low-latency services to mo
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has the highest proliferative and metastatic rate in comparison to other pancreatic cancer compartments. This
study is designed to determine whether small nucleolar RNA, H/ACA box 64 (snoRNA64) is associated with
pancreatic cancer initiation and progression. Gene expression data from the Gene Expression Omnibus (GEO)
repository have shown that snoRNA64 expression is reduced in primary and metastatic pancreatic cancer as
compared to normal tissues based on statistical analysis of the in Silico analysis. Using qPCR techniques,
pancreatic cancer cell lines include PK-1, PK-8, PK-4, and Mia PaCa-2 with differ