Our Work

Аннотация:  Предметом исследования данной статьи является обрядовая культура крымских татар, в частности ее музыкальный компонент.  Автор проводит систематизацию традиционного музыкального н…

Аннотация:  Предметом исследования данной статьи является обрядовая культура крымских татар, в частности ее музыкальный компонент.  Автор проводит систематизацию традиционного музыкального наследия, выделяя три ключевых пласта: семейно-бытовые обрядовые  песни и напевы, календарно-обрядовые песни, религиозные музыкально-поэтические жанры. В работе представлен комплексный анализ каждого из указанных направлений, раскрывающий их специфику и функциональное значение. 

Adds DensityPenaltyV1, the additive, capacity-weighted density penalty closure. See CHANGELOG.md.

The "Virtual Workshop on Semantic mapping of excavation data" took place on the 15th June 2022 (on Zoom) and was organised as an open forum to illustrate aspects of the work carried out by the Archaeo…

The "Virtual Workshop on Semantic mapping of excavation data" took place on the 15th June 2022 (on Zoom) and was organised as an open forum to illustrate aspects of the work carried out by the Archaeological Excavation Modelling Working Group, a sub-group within WP 4.4.12. The presenters, both Partners and Associate Partners of the ARIADNEplus consortium, explored semantic modelling and the use of CIDOC CRM, as well as the tools developed to assist researchers with mapping their data. Five case studies on semantic mapping of excavation data were also presented. Each presentation was followed by a Q&A, while a discussion at the end of each session allowed participants to engage in conversation and contribute their experiences and ideas with a view to making excavation data FAIR (Findable, Accessible, Interoperable and Reusable). This is the 2nd presentation by Olivier Martlet, CNRS, of Part A of the Workshop: Introduction and tools for semantic modelling.

This paper examines the preservation of narratorial uncertainty in Uzbek–English literary translation through the expression “ehtimolki” in Abdulla Qodiriy’s O‘tkan kunla…

This paper examines the preservation of narratorial uncertainty in Uzbek–English literary translation through the expression “ehtimolki” in Abdulla Qodiriy’s O‘tkan kunlar. Close reading and constructed translation alternatives show how omission or repositioning of a modal qualification can change a possible event into an asserted one. A criterion based on the degree and scope of certainty is proposed for evaluating translations assisted by large language models. No controlled model experiment is reported.

Automated dataloggers recorded the bottom temperature of snow (BTS) in the Uinta Mountains of Utah (USA) hourly for eight years (2018-2026).  Pairs of data loggers were deployed on the surfaces o…

Automated dataloggers recorded the bottom temperature of snow (BTS) in the Uinta Mountains of Utah (USA) hourly for eight years (2018-2026).  Pairs of data loggers were deployed on the surfaces of two rock glaciers, as well as at adjacent non-rock glacier control sites.  BTS on the rock glaciers averaged -3.5 °C in the months of February and March under deep snow cover.  During the same time, temperatures averaged >-2.0 °C at nearby non-rock glacier control sites.  This offset is consistent with the presence of permafrost within these rock glaciers.  This result indicates that estimates of rock glacier movement from remote sensing and field measurements are likely due to ice deformation, and are consistent with hydrologic evidence that these landforms contain internal ice.  This dataset provides a valuable baseline for monitoring future permafrost change in these mountains.

Machine Learning (ML) and Artificial Intelligence (AI) are being applied to key metallurgical process units within the HAlMan project to improve process understanding, support operational decision-mak…

Machine Learning (ML) and Artificial Intelligence (AI) are being applied to key metallurgical process units within the HAlMan project to improve process understanding, support operational decision-making, increase efficiency, and identify optimized operating conditions. The work combines experimental data, thermodynamic modelling, advanced machine learning techniques, and multi-objective optimization to address both pyrometallurgical and hydrometallurgical processes. A central objective is to move beyond conventional process analysis and develop predictive tools capable of identifying relationships between operating conditions, material characteristics, process performance, and energy requirements. The resulting models can support researchers and industrial operators in evaluating different production scenarios and selecting operating conditions according to priorities such as throughput, energy consumption, and operating cost.

Calls for transformative change have become central to sustainability research and practice. However, most frameworks and empirical insights on how transformation occurs originate from Western Europe …

Calls for transformative change have become central to sustainability research and practice. However, most frameworks and empirical insights on how transformation occurs originate from Western Europe or the Global South. This uneven knowledge production leaves Central and Eastern Europe (CEE) largely invisible in advancing the understanding of transformative change mechanisms. This paper addresses this gap by examining efforts to trigger transformative change at the land-food-energy nexus in Czechia. Drawing on stakeholder analysis and in-depth interviews with key transformative actors, we apply the iceberg model as an analytical framework to unpack the enablers and disablers of transformative change at operational, structural, and narrative levels. While operational and structural enablers and disablers largely mirror those identified in Western European contexts (such as the importance of supportive policies, subsidies, and taxation), those at the narrative level diverge significantly. Historical legacies of state-enforced collectivism in the Czechoslovak Socialist Republic, the path-dependencies of post-1989 political-economic transformation, and the rise of contemporary populism together constrain the legitimacy of transformative change anchored in the principles of solidarity, community, and redistribution. To this end, we argue that globally promoted narratives of transformative change may be normatively powerful yet contextually misaligned. Furthermore, we demonstrate that the CEE experience offers valuable insights into how societies negotiate change under conditions of rigid governance, weak traditions of public participation, pervasive individualism, and transformation fatigue stemming from turbulent socio-economic transitions after 1989.