4 research outputs found
The Politics of Gender Representation in Charles Bukowski’s Poetry: Between Ambivalence and Misogyny
No full textThe German poet and novelist Charles Bukowski has always been surrounded with controversy throughout his life. However, interestingly, it is his politics of gender representation that mostly triggers feminists and researchers together to condemn him for being misogynist, showcasing a degrading image of female characters in his prose writings. The latter genre is seemingly insufficient to directly accuse Bukowski and his literary works of misogyny. While some of his novels attest to a demeaning yet controversial representation of women, his poetry offers a nuanced version wherein heterogeneous portrayal of women becomes prevalent and therefore allowing the space for readers to encounter poems with an amalgamation of positive representations of women—being independent and intellectual. Because the misogynistic representation in Bukowski’s works is open to various interpretations, rushing into a compilation of hateful judgments concerning the author himself lacks justification and argument. In line with this background, the present paper discusses the limitations of the conclusions drawn with regard to Bukowski’s gender politics, arguing that there is a space in-between worth exploring in his literary works. Through a close reading method of textual analysis, the paper concentrates on selected poems from Bukowski’s collection Love is a Dog from Hell (1977) in order to contrast the positive and negative depiction of women. The paper, in other words, strives to bring into question the extent to which misogyny and ambivalence take roles in Bukowski’s gender representation of the female characters. The analysis undertaken has revealed significant results, in which Bukowski’s poetry comes to expose a more ambivalent and realistic approach towards gender—a reading which is highly needed in order to consider the different perspectives and possible interpretations of an author’s work before limiting it, or the author in person, to a set of stereotypical judgment
Bibliometric Analysis and Systematic Literature Review in Management Practices & Artificial Intelligence
Get PDFArtificial Intelligence (AI) has emerged as a transformative technology to reshape different practices of management, such as decision-making processes, organizational performance, and human interactions in business settings. The purpose of this study is to map out the intersection between Artificial Intelligence and Management practices. Several studies of relevant scholarly articles have been carried out to identify the interaction of AI on the three main Management practices through a comprehensive review analysis using Scopus database. This bibliometric study offers insights into scientific trends, author patterns and thematic field advancement. In addition to pointing out the gaps in the literature and suggesting directions for future research such as the ethical issues surrounding the use of AI. The results of the systematic literature review are eventually mapped out on VOSviewer and presented by visualization techniques demonstrating key research clusters. This study is subject to limitations as it solely depends on the Scopus database. Future studies could grant from merging additional sources like PubMed, Crossref, among others
A study on the efficiency of the sequential batch reactor on the reduction of wastewater pollution from oil washing
No full text© 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.Industrial pollution discharges from washing fuel oils pose severe problems for the environment, particularly for the marine environment receiving these discharges. This work evaluates the biological treatment performance of wastewater (90 m3/h) rich in organic matter with low biodegradability using a sequential batch reactor (SBR) on a laboratory scale. The test using SBR was carried out for 25 days on a continuous cycle of 24 h (30 min of filling, 17 h of aeration, 4 h of anoxia, 2 h of settling, and 30 min of emptying). The feasibility of alternative sources of microorganisms from urban wastewater. The performance of the batch sequencing reactor was evaluated using turbidity, total suspended solids, chemical oxygen demand (COD), biological oxygen demand (BOD), ammonium, nitrate, and phenol as indicators. The results obtained showed that the COD/BOD ratio and the pollutant load vary from one campaign to another. The removal efficiency of COD, BOD, TSS (Total suspended solids), ammonium, nitrate, and phenol varies from 81%, 91%, 72%, 100%, 52%, and 63%. Thus, SBR-type treatment could be an interesting way to reduce pollution due to its simplicity, less space occupation, low energy consumption, and not requiring highly qualified personnel
Intelligent Bankruptcy Prediction Models Involving Corporate Governance Indicators, Financial Ratios and SMOTE
Get PDFThis study enhances bankruptcy prediction models by investigating synergies between predictors, utilizing a diverse dataset of financial statements and corporate governance data. Rigorous feature selection identifies key financial ratios (FRs) and corporate governance indicators (CGIs) to enhance model interpretability. Multiple machine learning algorithms construct and assess the models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines, and Neural Networks. Integration of CGIs with FRs aims to identify effective combinations that improve model performance with an accuracy respectively 90%, 95%, 97%, and 98%. Researchers explore feature weighting techniques and ensemble methods, examining their impact on accuracy, sensitivity, and specificity. The study also explores how regulatory frameworks and governance practices affect bankruptcy prediction, analyzing data across periods to uncover changes in predictive power under varying conditions. The findings have implications for investors, institutions, and policymakers, offering more accurate risk assessments and emphasizing the interplay between financial performance and governance quality for corporate well-being
