Articles

The following study aims to study the evolution, historical and functional dynamics of the German language in Albania, starting from its early phases of confrontation and presentation among Albanians as a language of scientific prestige and elite education, to its contemporary role as a language of certification, study, employment and professional mobility. Based on multifaceted historical sources, press materials, audiovisual media, institutional documents, unpublished interviews, personal archival funds and the narratives of the protagonists or their descendants, the authors argue that German in Albania has managed to maintain a significant weight, although disproportionate in relation to its numerical extent. In its early stages, German was associated almost exclusively with Albanology and with the orientation of the elites towards centres such as Vienna, Graz and Berlin; during socialism it survived in forms of refined state and ideological control, especially in "Radio Tirana", in the field of translation and in specific trajectories of generational formation, while after 1990 it was reformatted as a language of convertible professional and academic capital. The authors' contribution also addresses the current challenges of German studies that are mostly related to student and youth pragmatism, the competition of certification models, the pressure of the labour market and the impact of artificial intelligence on teaching and translation. From this perspective, German in Albania is shown to us today as an almost endemic phenomenon and a truly significant case of the combination between cultural history, education and human mobility.

This study examines curriculum reform in the "Comprehensive Jewelry Material Techniques" course, a core component of the jewelry design program at West Yunnan University of Applied Sciences, drawing on curriculum theories and Torrance's principles of creative thinking, it addresses persistent challenges in applied undergraduate art education: outdated content, pedagogical monotony, limited material diversity, superficial applications, and constrained instructional time. These impede students' innovatnment with industry demands in a digital-era art and design landscape. This study adopts a progressive, student-centered pedagogy integrating material cognition, deep practice, themed jewelry creation, multi-dimensional evaluation, and achievement exhibitions. This fosters interdisciplinary knowledge synthesis, psychological safety, and holistic competencies—enhancing material mastery, aesthetic literacy, and practical innovation. Empirical outcomes demonstrate elevated teaching efficacy, as evidenced by student works exhibiting novel material fusions, creative potential. The reforms model a transformative paradigm for vocational art curricula, bridging experiential transmission with autonomous exploration to cultivate adaptable, creatively resilient designers responsive to societal and technological shifts.

The Chinese film <i>Wolf Warrior II</i> floats all the way at the domestic box office, and jumps into the top 100 of the world's film box office rankings. It has achieved great economic success and ratings are overwhelmingly positive in China. Nevertheless, in stark contrast to this, <i>Wolf Warrior II</i> is cold at the box office abroad, and the word of mouth is not satisfactory. Transcreation is the re-creation or adaptation of content for a group of specific target audience. As an inter-related process of translation, a successful and holistic transcreation can arouse the same emotions as well as connotations produced in the target language as the source language. There are different perspectives to detailed translation analysis of China’s identity as a prominent character of contemporary society. Insofar as this research probes into the branding and in subtitle translation, it also constructs a binary theoretical model based on triadic signs of intersemiotic translation and metafunctional framework of multimodal analysis to testify China’s core values in this film and beyond.

This paper leverages gene and cell therapy research in diverse disorders ranging from monogenic to infectious diseases to cancer and emerging breakthroughs, where one can harness individual genes or a synthetic gene sequence designed based on a shared molecular pattern in infected cells to better fight various disorders [1]. A pivotal task is to predict the performances of candidate gene therapies to guide clinical translational research using methods such as retrospective bioinformatic analyses. Implementing them to a large-scale gene therapy database reveals that it is feasible to construct and apply well-performing interpretable, supervised learning models [2]. Preliminary evidence of machine learning approaches' statistical significance helps clinicians and biomedical researchers, market participants, and regulatory and economic experts derive relevant, practical applications, thereby enhancing the deployment of gene therapy and genomics to achieve positive, long-term growth for humanity while alleviating the ongoing worldwide economic burden precipitated by prolonged and recurring diseases. Deploying machine learning techniques to accelerate gene and cell therapy drug development and trials shall also mitigate the existing obstacle of limited patient access to emerging, transformative medical innovations such as gene therapy due to skyrocketing prices, which often herald gene therapy products as the world's most expensive medicines [3]. Moreover, in preventing patients from accessing effective, life-saving genetic medicines, there commonly exists a multidimensional access gap encompassing the availability, affordability, and quality or acceptability of these clinical treatments. The ensuing substantial gap has repeatedly been documented and mainly emanates from differential institutional and socio-political choices around resource allocation at international and domestic levels [4]. Particularly, it is also due to the stringent licensure and regulatory approval processes underpinned by insufficient evidence for novel safety and clinical efficacy profiles for genetic therapies in multiple micro-local diagnoses and subpopulations. We believe that a higher likelihood of gene therapy adoption shall result when the clinical evidence path contains adequate representation from the most diverse and relevant patient populations [5].