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Unpacking disciplinary literacies through CLIL teachers' perspectives across Science, Social Science and Mathematics in Europe
No full textThe nature and development of bi- and multilingual disciplinary literacies (BMDL) have become an increasingly critical area of inquiry in multilingual educational contexts such as CLIL. This study examines how CLIL teachers conceptualise subject-specific literacies through semi-structured interviews with 13 science, social science and mathematics teachers in Albania, Austria, Spain and Turkey. Drawing on the five BMDL dimensions developed within CLILNetLE (www.clilnetle.eu) and inductively derived themes, the analysis shows that teachers viewed learning subject content and learning to reason, communicate, and represent knowledge as mutually dependent processes. Content-area literacy practices were described as coexisting with disciplinary literacy practices, emphasising the plurality of literacies at play. Teachers characterised their subjects in ways consistent with disciplinary literacy research and linked students' development to cognitive and linguistic maturity. The findings clarify how BMDL dimensions operate distinctly yet interdependently: the functional dimension, realised through genres and cognitive discourse functions, seems to act as the core driver of disciplinary reasoning; the multilingual and multisemiotic dimensions function as linguistic and representational vehicles; the critical dimension signals depth of reasoning; and the technological dimension serves as an enabling environment. The study foregrounds teachers' perspectives as essential for refining the conceptualisation of BMDL
Phase Correction and DNN Heartbeat Estimation for Vital Signs’ Monitoring Using FMCW Radar
No full textDue to its multiobjective potential for noncontact vital signs’ monitoring, millimeter-wave (mmW) radar has increasingly drawn attention in human health and safety-related sensing applications. However, detection of vital signs, especially weak heartbeat reaction, is more challenging when disrupted by interference from background noise, random human body movement, and the sensitive nature of radio waves. To address these problems, this work presents an improved frequency-modulated continuouswave (FMCW) radar vital signs’ monitoring solution incorporating phase error correction and heartbeat event probability prediction. The main contributions include the following: 1) development of a data processing framework reinforcing radar echoes for high signal-to-noise ratio (SNR) vital signs’ detection, which amplified the returned signals through beamforming and compensated phase perturbation; in addition, two techniques including adaptive mode decomposition and neural network have been cordially adopted to perform signal conditioning; 2) proposal of a phase error correction method with an adaptive dual-sliding window to mitigate the phase noise and distortion introduced by the nonperiodic body movement, nonstationary breathing pattern, dynamic environmental clutter, and so on; it overcomes susceptibility to noise for the phase response and improves its stability and continuity; and 3) establishment of a deep neural network (DNN)-based model to predict the probability distribution of heartbeat events with phase segmentation. This prediction model avoids rigid misclassification of heartbeats and enhances the algorithm’s tolerance to noise and adaptability to complex conditions. Experimental results have verified the effectiveness of the proposed solutions. The presented method provides a robust solution for reliable, high-accuracy, and continuous vital signs’ monitoring in real environments
The calculation of the mutation frequency for humans at different proton doses in a mathematical model and estimation of the mutation risks for the space explorations
No full textTEMPORAL AND SPATIAL VARIATIONS OF MARINE LITTER SCATTERED ON THE SOFT SEABED IN THE SEA OF MARMARA
No full textIn this study, marine litter from the seafloor in the Sea of Marmara obtained through several trawl surveys between 1994 and 2021 is evaluated. When the levels of marine litter on the seabed of the Sea of Marmara are considered, there appears a significant increase in the quantity after the year 2000, with this increase particularly concentrating in the Gulf of Izmit and Gemlik, where the effect of current systems is prominent. In 2000, the quantity of plastic waste per unit area was approximately 40 items/km(2), while in 2016 it exceeded 800 items/km(2). Considering the total area for the 20-200 m in the Sea of Marmara, seafloor litter accumulation was calculated as 335 tons in 1994 but 5037 tons in 2021. In 2000, plastic waste accounted for 54% of the total, rising to 75% in 2016, 95% in 2019, and 67% in 2021. The L1 group, which represents plastic waste, is mainly contributed by plastic bags. In 2000, plastic bags accounted for 23% of the total, increasing to 83% in 2019. However, this value significantly decreased in 2021 whilst the "Packaging Plastic" subcategory also increased from 4% in 2000 to 48% in 2016 and 2021. Our analyses revealed that as the depth increases, the quantity and diversity of marine litter decrease, with plastic litter remaining dominant even in deeper waters
The role of green skills development in the just transition of the electricity distribution sector in Türkiye
No full textRW-9: A family of random walk tests
No full textIn this work, we define a family of nine statistical randomness tests for collections of short binary strings, by making use of random walk statistics. For a binary sequence of length \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{n}\end{document}, we consider the probability of intersecting the line \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{y=t}\end{document} exactly at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{k}\end{document} distinct points. Although there are some explicit formulas for these probability values in the literature, those applicable to short sequences are not feasible for computations involving sequences of length \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{256}\end{document} bits or more. On the other hand, approximation techniques, or asymptotic approaches, that should be used only when testing long sequences, are not useful for testing sequences of length between \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{256}\end{document} and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{4096}\end{document}. The recursive formulas, derived in this paper, made it possible to obtain exact values of the corresponding probability distribution functions. Using these formulas, we provide the necessary figures for testing collections of strings of length \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{2}{\varvec{7}}, \ \varvec{2}{\varvec{8}}, \ \varvec{2}{\varvec{10}}\end{document} and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}\varvec{2}{\varvec{12}}\end{document} bits. Finally, we apply these nine tests to various collections of strings obtained from different pseudorandom number generators as well as to biased sequences to assess whether the proposed tests can effectively detect non-random data
A data-driven constitutive model for compressible polymeric foams
No full textCompressible polymeric foams exhibit a highly non-linear mechanical behaviour. Classical constitutive models have a fixed Mathema tical expression. Degree of porosity and the cellular structure of the foam affects the mechanical response significantly. In this regard, phenomenological constitutive models may not be successful in modeling a variety of compressible polymeric foams. Data-driven constitutive modeling is a promising approach to solve this problem, here we propose an extended version of B-spline based data-driven framework (Dal, Denli, Açan, & Kaliske 2023) for compressible materials. The model adapts its control point values to reduce the error between data and prediction until a threshold is reached, and is thermodynamically consistent through the use of optimization constraints. The proposed model has been validated with closed-cell EPDM (ethylene propylene diene monomer) with three distinct foam densities. The uniaxial tension and the confined compression experiments were conducted to identify the mechanical behavior of the materials. A non-homogeneous uniaxial compression experiment was performed to validate the control points obtained through the simultaneous fitting of uniaxial tension and confined compression. Finite element analysis was conducted under conditions precisely replicated from the non-homogeneous uniaxial compression experiment. Furthermore, a comparison is performed between the classical constitutive models (Blatz & Ko 1962, Hill 1979) and the proposed data-driven approach. The results show that the data-driven approach is very promising to model the mechanical behavior of compressible polymeric materials