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11.
AutoSourceID-Light : Fast optical source localization via U-Net and Laplacian of Gaussian
F. Stoppa, P. Vreeswijk, S. Bloemen, Saptashwa Bhattacharyya, S Caron, G. Jóhannesson, R. Ruiz de Austri, C. Van den Oetelaar, Gabrijela Zaharijas, P.J. Groot, E. Cator, G. Nelemans, 2022, original scientific article

Abstract: Aims: With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable source localization is paramount. We present AutoSourceID-Light (ASID-L), an innovative framework that uses computer vision techniques that can naturally deal with large amounts of data and rapidly localize sources in optical images. Methods: We show that the ASID-L algorithm based on U-shaped networks and enhanced with a Laplacian of Gaussian filter provides outstanding performance in the localization of sources. A U-Net network discerns the sources in the images from many different artifacts and passes the result to a Laplacian of Gaussian filter that then estimates the exact location. Results: Using ASID-L on the optical images of the MeerLICHT telescope demonstrates the great speed and localization power of the method. We compare the results with SExtractor and show that our method outperforms this more widely used method rapidly detects more sources not only in low and mid-density fields, but particularly in areas with more than 150 sources per square arcminute. The training set and code used in this paper are publicly available.
Keywords: astronomical databases, data analysis, image processing
Published in RUNG: 23.01.2023; Views: 1184; Downloads: 0
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12.
Unwrapping Aortic valve dysfunction through complex network analysis: A biophysics approach
Mohanachandran Nair Sindhu Swapna, 2022, original scientific article

Keywords: Aortic valve dysfunction, complex network analysis
Published in RUNG: 14.09.2022; Views: 1019; Downloads: 0
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13.
Yat-alternation and the imperfect tense in Bulgarian. A rule-based analysis.
Danil Khristov, 2022, published scientific conference contribution

Abstract: The paper proposes a rule-based feature analysis of the ya/e phenomenon in Bulgarian. Special attention is paid to the variable ya/е observed in the forms of the imperfect tense. First and second-conjugation verbs whose imperfect forms involve yat-alternation are compared with third-conjugation verbs where this alternation is not observed. The analysis also addresses the role of morphology in the process of adding different imperfect endings to the verb base and the effect of these endings on the variable ya/e. Finally, the phonemic status of soft consonants is discussed in relation to the proposed analysis.
Keywords: yat vowel, yat-alternation, variable ya/e, imperfect tense, rule-based analysis, features
Published in RUNG: 06.09.2022; Views: 1256; Downloads: 0
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15.
AphasiaBank_ Italian
Sara Andreetta, complete scientific database of research data

Keywords: aphasia, discourse analysis, Italian language, discourse database, CLAN, CHAT
Published in RUNG: 21.07.2022; Views: 1224; Downloads: 31
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16.
Automatic discourse analysis in aphasia
Sara Andreetta, unpublished conference contribution

Keywords: aphasia, discourse analysis, CLAN, CHAT, AphasiaBank
Published in RUNG: 20.07.2022; Views: 1195; Downloads: 0
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18.
Nondestructive Evaluation of Surface Roughness of Thin Films through Fractal Analysis, S Soumya
Mohanachandran Nair Sindhu Swapna, 2017, original scientific article

Keywords: Nondestructive Evaluation, Surface Roughness, Thin Films, Fractal Analysis
Published in RUNG: 05.07.2022; Views: 1121; Downloads: 0
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19.
Order fluctuation induced tunable light emission from carbon nano system
Mohanachandran Nair Sindhu Swapna, Sankararaman S, 2019, original scientific article

Abstract: The paper reports the thermal-induced order fuctuations, in a carbon nanosystem with carbon nanotubes (CNTs) synthesized by the incomplete combustion of gingelly oil. The sample annealed at diferent temperatures (30–400 °C) is subjected to various morphological and spectroscopic characterizations. The ultraviolet–visible spectroscopic and thermogravimetric analyses reveal the CNTs in the sample. The high-resolution transmission electron microscopy (HR-TEM) also confrms the formation of CNTs in the sample. The Raman spectrum and X-ray difraction pattern show the signature of multi-walled to single-walled CNT transformation and thus an order fuctuation on annealing. The quantum yield of the sample, measured by integrating sphere method, yields 46.15% at an emission wavelength of 575 nm. When the excitation wavelength is varied from 350 to 510 nm, the CIE coordinate moves from the white region to the yellowish-green region. The varying amount of CNTs in the soot, upon annealing is found to vary the luminescence emission from the sample. The study reveals the thermal-induced oscillatory order in carbon nanosystem with carbon nanotubes (CNTs) leading to tunable excitation/ thermal-dependent luminescence emission and thereby suggesting the possibility of converting the futile soot for fruitful applications in photonics and nanoelectronics.
Keywords: Carbon nanosystem, Single-walled carbon nanotubes, Multi-walled carbon nanotubes, Raman spectroscopy, Thermogravimetric analysis, CIE plot, Quantum yield, gingelly oil
Published in RUNG: 05.07.2022; Views: 1216; Downloads: 0
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20.
Time series analysis of duty cycle induced randomness in thermal lens system
Mohanachandran Nair Sindhu Swapna, 2020, original scientific article

Abstract: The present work employs time series analysis, a proven powerful mathematical tool, for investigating the complex molecular dynamics of the thermal lens (TL) system induced by the duty cycle (C) variation. For intensity modulation, TL spectroscopy commonly uses optical choppers. The TL formation involves complex molecular dynamics that vary with the input photothermal energy, which is implemented by varying the duty cycle of the chopper. The molecular dynamics is studied from the fractal dimension (D), phase portrait, sample entropy (S), and Hurst exponent (H) for different duty cycles. The increasing value of C is found to increase D and S, indicating that the system is becoming complex and less deterministic, as evidenced by the phase portrait analysis. The value of H less than 0.5 conforms the evolution of the TL system to more anti-persistent nature with C. The increasing value of C increases the enthalpy of the system that appears as an increase in full width at half maximum of the refractive index profile. Thus the study establishes that the sample entropy and thermodynamic entropy are directly related.
Keywords: Time series analysis Fractal analysis Photothermal lens spectroscopy Fractal dimension Hurst exponent Sample entropy
Published in RUNG: 05.07.2022; Views: 1155; Downloads: 0
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