Zmiany liczby ludności i charakter procesów demograficznych w Tbilisi

At the beginning of the 1990s, as a result of the dissolution of the Soviet Union, an instant termination of economic relations that had existed for dozens of years took place in Georgia. Along with the armed conflicts in the regions of Tskhinvali and Abkhazia it has led to a full-fledged socio-economic and political crisis in Georgia. These unordinary events have had a great influence on the demographic processes at hand in Tbilisi. This article aims to establish the effects of the main socio-economic and cultural factors on population change and demographic processes in post-Soviet Tbilisi and offers prognosis on population change according to low, medium and high estimates for 2015–2030.Na początku lat 90. XX wieku w Gruzji miało miejsce natychmiastowe zakończenie wieloletnich stosunków gospodarczych ze Związkiem Radzieckim. Dodatkowo konflikty zbrojne w Abchazji i Osetii Północnej doprowadziły do kryzysu społeczno-gospodarczego i politycznego w Gruzji. Wszystkie te wydarzenia miały ogromny wpływ na procesy demograficzne w Tbilisi. Niniejszy artykuł ma na celu ukazanie głównych czynników społeczno-ekonomicznych i kulturowych dotyczących zmian demograficznych i procesów demograficznych w postsowieckiej Tbilisi. Dodatkowo autorzy przedstawili prognozy zmian liczby ludności w latach 2015–2030

Trends in LN-embedding practices at Waikato Institute of Technology (Wintec) in 2019

In this report, we describe the trends in literacy-embedding practices of level-2 and level-3 tutors who worked in vocational contexts at Waikato Institute of Technology (Wintec), and who completed the New Zealand Certificate in Adult Literacy and Numeracy Education (NZCALNE[Voc]) in 2019. We analysed 19 observations, following constructivist grounded theory methodology (Charmaz, 2014), to produce 1302 descriptive labels that highlight literacy and numeracy practices integrated into tutors’ teaching intentionally pursued in a collaborative and mentored training process. Of the initial 12 categories, we conflated the mapping of LN course demands and identifying learners’ LN needs to arrive at a final 11. We then used these categories in an axial analysis (Saldaňa, 2013), categorising the 1302 labels as binaries (i.e. if the label was related to the category, 1 was coded; if not 0 [zero]). The matrix of 14322 ratings of 1s and 0s was then analysed. We calculated the frequency of 1s by category. We argued that the axial analysis allowed us to develop a more holistic perspective which showed how the 1302 labels were configured in relation to the 11 categories of analysis. We concluded that the 11 categories represented key aspects of vocational teaching and training emphasising that LN-embedding practices have to be seamlessly integrated into general pedagogical approaches. A key construct for new tutors is to shape their understanding of seamlessly integrated versus bolted-on LN practices. Our recommendations remain within the whole-of-organisation perspective proposed in the 2017-2018 report (Greyling, 2019)

Epsilon-Near-Zero Grids for On-chip Quantum Networks

Realization of an on-chip quantum network is a major goal in the field of integrated quantum photonics. A typical network scalable on-chip demands optical integration of single photon sources, optical circuitry and detectors for routing and processing of quantum information. Current solutions either notoriously experience considerable decoherence or suffer from extended footprint dimensions limiting their on-chip scaling. Here we propose and numerically demonstrate a robust on-chip quantum network based on an epsilon-near-zero (ENZ) material, whose dielectric function has the real part close to zero. We show that ENZ materials strongly protect quantum information against decoherence and losses during its propagation in the dense network. As an example, we model a feasible implementation of an ENZ network and demonstrate that quantum information can be reliably sent across a titanium nitride grid with a coherence length of 434 nm, operating at room temperature, which is more than 40 times larger than state-of-the-art plasmonic analogs. Our results facilitate practical realization of large multi-node quantum photonic networks and circuits on-a-chip.Comment: 13 pages, 5 figure