This paper explores the transformative integration of Hybrid Intelligence (HI) within the landscape of higher philological education, specifically operationalized through the innovative 'Literary Detective' pedagogical framework. Amidst the shifting cognitive baselines of the digital era, this study addresses the crisis of sustained deep attention by proposing a synergistic model of textual archaeology. The research focuses on the intricate process of multidimensional decoding, wherein human cultural intuition collaborates with the computational power of Large Language Models (LLMs) to excavate latent intertextual layers across a diverse literary corpus.The study provides a comparative analysis of foundational and modern texts, demonstrating how a structured Decoding Matrix facilitates the identification of complex cultural codes in the cosmological epics of Vaja-Pshavela, the impressionistic prose of Niko Lortkipanidze, and the tragic war poetry of Mirza Gelovani, alongside the works of Homer, Margaret Atwood, and Ana Kalandadze. The findings reveal that Artificial Intelligence, when utilized as a cognitive scaffold rather than a replacement for authorial voice, significantly amplifies the student's capacity to navigate intertextual networks and resolve “artificial hallucinations” through intuitive filtering. Empirical evidence suggests that this hybrid approach not only increases the efficiency of thematic identification by approximately 38% but also fosters advanced critical thinking and digital literacy. Ultimately, the paper argues for a paradigm shift in the humanities, positioning the student as an active investigator in an AI-augmented hermeneutic environment, ensuring the continued relevance of philological rigor in a post-digital academic world.
Current treatments for Parkinson’s disease (PD) are primarily symptomatic and may lead to motor fluctuations and levodopa-induced dyskinesia over time, highlighting the need to repurpose other medications. Cannabinoids have gained attention as potential repurposed treatments. This systematic review and meta-analysis evaluated their efficacy in PD while addressing limitations of previous reviews, including low statistical power and inclusion of cannabinoid antagonists in pooled analyses. A literature search was conducted through PubMed, Scopus, and Web of Science, identifying randomized controlled trials (RCTs) evaluating the use of cannabinoids in PD. Quality assessment was done via RoB-2. A random-effects meta-analysis was performed using the meta and metafor packages in R, with mean differences (MD) or standardized mean differences (SMD; Hedges’ g) reported with 95
Olezarsen has shown efficacy in hypertriglyceridemic and dyslipidemic populations of mixed cohorts, but its effectiveness in severe hypertriglyceridemia(SHTG) is unknown. This is a systematic review and meta-analysis to evaluate the efficacy of olezarsen in SHTG and the associated risk of pancreatitis. PubMed, Embase, and Cochrane databases were systematically searched for published trials comparing olezarsen vs placebo in SHTG patients up to December 03, 2025. We computed mean difference (MD) and risk ratio (RR) with 95
The article is devoted to one of the acute problems of dermatology – hidradenitis suppurativa/acne inversa. Based on literary sources, it discusses in detail the etiology, pathogenesis, clinical manifestations, diagnosis and modern methods of treatment of the disease. Attention is focused on the main method of treatment of the disease - antibiotic therapy. A long-term retrospective analysis has established that empirical antibiotic therapy with clindamycin does not guarantee unconditional clinical effectiveness. Antibiotic therapy in (HS/AI) should be individualized and based on preliminary microbiological studies.
