This research explores the themes of identity and alienation in Tsitsi Dangarembga's famous novel, Nervous Conditions, through Kimberlé Crenshaw's intersectionality theory. The story takes place in postcolonial Zimbabwe and delivers a fascinating illustration of the intersecting domains of gender, race, class, and colonial legacies that shape the characters' experiences of identity and alienation. Benefitting from Crenshaw's intersectional paradigm, this article explores the multidimensional interface of societal categorizations and power relations in the novel, revealing the complex dynamics of individuals as they negotiate their identities in a postcolonial context. Through a thorough examination of Tambudzai's journey and the problems of suppression and clash interlocked in the narrative, this study shows the ways in which intersectionality works as a governing tool for understanding the intricacies of postcolonial identities and the unavoidable forces of alienation that enlighten the characters' lives. By contextualizing the characters' experiences in the larger socio-historical setting of postcolonial Zimbabwe, dangarembga deftly examines the intersecting dynamics of colonialism, sexism, and cultural struggle that mold and constrain personal identities via Tambu's journey. The novel's narrative revolves on the themes of tyranny and identity, as the characters negotiate the intricacies of their individual and group identities in a culture characterized by structural and historical injustices. This investigation indicates the convoluted procedures of identity development, cultural compromise, and agency in the face of systemic differences and colonial hassles.
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The UN plans to achieve several development objectives by 2030. These objectives address global warming, a major issue. This method aims to improve sustainable accounting performance (AP). In this circumstance, AI is being applied in various fields, notably in economic, social, and environmental (ESE) domains. This research investigates how sustainable development (SD) influences AI methodologies and AP improvement. The research examined a sample of Iraqi banks listed on the Iraq Stock Exchange from 2014 to 2022. AI was measured by ATM and POS prevalence. A three-dimensional approach examined economic, social, and environmental (ESE) sustainability. Meanwhile, the performance of sustainable accounting was measured through the return on asse
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The issue of increasing the range covered by a wireless sensor network with restricted sensors is addressed utilizing improved CS employing the PSO algorithm and opposition-based learning (ICS-PSO-OBL). At first, the iteration is carried out by updating the old solution dimension by dimension to achieve independent updating across the dimensions in the high-dimensional optimization problem. The PSO operator is then incorporated to lessen the preference random walk stage's imbalance between exploration and exploitation ability. Exceptional individuals are selected from the population using OBL to boost the chance of finding the optimal solution based on the fitness value. The ICS-PSO-OBL is used to maximize coverage in WSN by converting r
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This systematic review aimed to investigate the relation between orthodontic treatment (OT) and the incidence of the gingival black triangle (GBT) after completing treatment with a fixed orthodontic appliance, as well as the associated risk factors and the level of alveolar bone. Electronic and hand searches were conducted in three electronic databases for relevant articles published up to March 2022. Retrieved articles went through a two-step screening procedure, and the risk of bias (RoB) was assessed by the Joanna Briggs Institute checklists. The incidence of GBT after OT was set as the primary outcome, while the secondary outcomes were the risk factors associated with GBT and alveolar bone loss following OT. Out of 421 papers, 5
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