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Feb 18, 2025Open Access
Background: Glioblastoma is the most prevalent and aggressive primary malignant brain tumor, known for its rapid growth and local invasion. While it predominantly remains within the central nervous system, extracranial metastasis is extremely rare, involving the liver, lymph nodes, thorax, spleen, and bones. Thoracic involvement is often associated with the worst prognosis. Aim: This paper presents a unique case of lung metastasis from glioblastoma, highlighting...
Feb 18, 2025Open Access
This article analyzes the persistent conflict in the Middle East by examining the complex interplay of historical context, structural realist dynamics (offensive and defensive), and foreign policy decision-making processes. A multi-layered approach that draws on historical analysis, realist international relations theory, and foreign policy analysis literature, this article seeks to comprehensively understand the enduring drivers of conflict in the Middle East region. The analysis demonstrates t...
Feb 18, 2025Open Access
This qualitative study explores the attitudes, challenges, and support needs of female Saudi EFL university students aimed at enhancing their English-speaking skills through semi-structured interviews. Guided by the framework of Sociocultural Theory, findings revealed students’ strong motivation towards improving verbal competence, yet lingering anxiety and vocabulary limitations frequently still inhibit their confidence and abilities for spontaneous discourse. However, opportunities remain thro...
Feb 18, 2025Open Access
The article explores the intersection of art and psychotherapy, examining how art serves as a therapeutic tool and how psychological principles inform artistic practices. It investigates various art forms, including mandala art, music therapy, dance therapy, and cinema, analyzing their therapeutic applications and highlighting the dynamic relationship between psychology and artistic expression. The article discusses the benefits of integrating art and psychotherapy, such as enhanced self-awarene...
Feb 18, 2025Open Access
Aesthetic education is an educational approach that aims to cultivate people’s aesthetic abilities. It intends to enable students to better experience, enjoy, and create beauty by enhancing their understanding and perception of beauty. In recent years, with the intensification of market competition, enterprises have been constantly delving deeper into the market to find effective marketing methods. As an emerging discipline, marketing aesthetics is becoming an essential factor in enterprise comp...
Feb 18, 2025Open Access
If the pantograph of an urban rail transit train stays at the insulating anchor joint for a long time, it will cause a prolonged discharge between the pantographs, which may burn or even break the contact wire and interrupt the power supply. In order to prevent similar faults from happening in the future and provide references for other urban rail transit operation and construction units, this paper analyzes the principle and hazards of the fault caused by the train stopping in the power supply ...
Feb 18, 2025Open Access
The integration of business analytics into organizational decision-making has introduced substantial ethical challenges, particularly in the domain of data privacy. This paper investigates the tension between leveraging customer data for enhanced profitability and adhering to ethical and regulatory standards. Through a comprehensive analysis of case studies and existing frameworks, the study identifies key areas where privacy concerns conflict with business objectives. It further proposes method...
Feb 18, 2025Open Access
Many kinds of explicit and exact solutions of the nonlinear Newell equation, including the solitary wave solution, the singular traveling wave solution, and the triangle function-type periodic wave solutions, are presented by a direct trial function approach.
Feb 17, 2025Open Access
The treatment of major depressive disorder (MDD) often involves antidepressants, yet non-response to initial therapies remains a significant clinical and economic burden. This research aims to evaluate the comparative efficacy and cost-efficiency of 13 commonly prescribed antidepressants, spanning four major drug classes: SSRIs, SNRIs, NaSSAs, and TCAs. By employing machine learning and simulated patient data, we model non-response rates over two years, highlighting each drug’s cumulative risk t...
Feb 17, 2025Open Access
Depressive disorders are complex, multifactorial conditions that exhibit significant variability in treatment response, often influenced by gender differences. This study leverages advanced machine learning (ML) techniques to predict antidepressant response to sertraline and imipramine, addressing the pressing need for personalized treatment strategies. By employing the Synthetic Minority Oversampling Technique (SMOTE), the research overcomes class imbalance—a common limitation in clinical datas...
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