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pro vyhledávání: '"P. De Zoysa"'
Pedagogy of ‘Refusing’ – commentary to Siriwardane-de Zoysa, Sreekanta, Mwambari, Mehta and Majumder
Autor:
Sayan Dey
Publikováno v:
Fennia: International Journal of Geography, Vol 201, Iss 2 (2023)
This commentary is a critical response to the dialogic essay “The unruly arts of ethnographic refusal: power, politics, performativity” that unpacks the complex performances of hierarchies and violence as performed during ethnographic research wo
Externí odkaz:
https://doaj.org/article/dbf72936399c4d04899f8b7ea8b41143
Akademický článek
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Autor:
Katsuno, Shumpei, Yoshida, Masahiro, Inoue, Takuya, De Zoysa, Menaka, Hatsuda, Ranko, Ishizaki, Kenji, Noda, Susumu
We introduce multijunction active layers, featuring a stack of alternating active layers and tunnel junctions, to PCSELs to increase their slope efficiency, which is vital for various applications including laser processing and LiDAR. First, we desig
Externí odkaz:
http://arxiv.org/abs/2409.16880
Investigation on smart devices has become an essential subdomain in digital forensics. The inherent diversity and complexity of smart devices pose a challenge to the extraction of evidence without physically tampering with it, which is often a strict
Externí odkaz:
http://arxiv.org/abs/2312.11301
Autor:
Warsha De Zoysa, Nirmala Rathnayake, Dhammika Palangasinghe, Shehan Silva, Priyamali Jayasekera, Chamila Mettananda, Thilina Abeygunasekara, Sarath Lekamwasam
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Objective Falls take a high priority among the prevalent medical conditions in old age. Despite this, a history of falls or the risk of future falls is not routinely assessed or properly managed in medical clinics in Sri Lanka. This study wa
Externí odkaz:
https://doaj.org/article/3f2ba19410ed4030bf52f4a8b80134c6
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 10, Pp 1390-1423 (2024)
The possession of smart devices has ingrained itself into daily life. Therefore, smart devices, such as IoT and smartphones, are crucial sources of evidence in instances where criminal activity occurs. Due to the challenges in traditional digital for
Externí odkaz:
https://doaj.org/article/33554c81e4fa4cc2ba87d1cff087ccad
Autor:
Chandima Kumara Walpita Gamage, Piyanjali Thamesha De Zoysa, Aindralal Balasuriya, Neil Francis Joseph Fernando
Publikováno v:
Discover Mental Health, Vol 4, Iss 1, Pp 1-9 (2024)
Abstract Background Anxiety, depression, and Type D personality are strongly correlated with the prognosis of IHD and the effectiveness of therapy. The main purpose of this study was to assess the proportions and associations of anxiety, depression,
Externí odkaz:
https://doaj.org/article/f066aacb74a14c1dbc524ac0951b7325
Autor:
Warsha De Zoysa, Thilak Priyantha Weerarathna, Keddagoda Gamage Piyumi Wasana, Miyuru Kavinda Weerarathna, Vidarsha Senadeera
Publikováno v:
Diabetology & Metabolic Syndrome, Vol 16, Iss 1, Pp 1-7 (2024)
Abstract Background Parental history of diabetes is an established risk factor for type 2 diabetes mellitus (T2DM). There is limited data on the association of parental history with the prevalence of T2DM in Sri Lanka. The study aims to examine the p
Externí odkaz:
https://doaj.org/article/4e66aff43adf48238dd457b834b4f34e
Autor:
Atapattu, Thushari, Herath, Mahen, Elvitigala, Charitha, de Zoysa, Piyanjali, Gunawardana, Kasun, Thilakaratne, Menasha, de Zoysa, Kasun, Falkner, Katrina
People often utilise online media (e.g., Facebook, Reddit) as a platform to express their psychological distress and seek support. State-of-the-art NLP techniques demonstrate strong potential to automatically detect mental health issues from text. Re
Externí odkaz:
http://arxiv.org/abs/2208.08486
Autor:
Trejo, Eyisto J. Aguilar, Martin, Daniel A., De Zoysa, Dulara, Bowen, Zac, Grigera, Tomas S., Cannas, Sergio A., Losert, Wolfgang, Chialvo, Dante R.
Publikováno v:
Phys. Rev. E 106, 054313. Published 29 November 2022
In this article, a correlation metric $\kappa_C$ is proposed for the inference of the dynamical state of neuronal networks. $\kappa_C$ is computed from the scaling of the correlation length with the size of the observation region, which shows qualita
Externí odkaz:
http://arxiv.org/abs/2205.11341