Zobrazeno 1 - 10
of 622
pro vyhledávání: '"Jay Kumar"'
Publikováno v:
Journal of International Buddhist Studies, Vol 15, Iss 1, Pp 116-128 (2024)
The present research investigates the theoretical foundations of mindfulness-based cognitive therapy (MBCT), focusing on the Satipaṭṭhāna Sutta, a foundational text in Buddhist meditation practice. The study aims to examine the foundational fram
Externí odkaz:
https://doaj.org/article/700bd1bcb77545b7aca9ecc5f8b6c307
Publikováno v:
Psychological Test Adaptation and Development, Vol 5, Iss 1, Pp 66-79 (2024)
Abstract: Aim: The Behavioral Inhibition and Activation Scale is a popular instrument that assesses an individual's responsiveness to reward and punishment. It is widely translated and validated in different languages. However, the Hindi version of t
Externí odkaz:
https://doaj.org/article/59f4cf7f20034150a42c0ffb8ddfbe99
Autor:
Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101952- (2024)
Efficiently handling Automatic Identification System (AIS) data is vital for enhancing maritime safety and navigation, yet is hindered by the system’s high volume and error-prone datasets. This paper introduces the Automatic Identification System D
Externí odkaz:
https://doaj.org/article/820b0928226445669e02858706cd49df
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100286- (2024)
Mind-wandering (MW) is when an individual’s concentration drifts away from the task or activity. Researchers found a greater variability in electroencephalogram (EEG) signals due to MW. Collecting more nuanced information from raw EEG data to exami
Externí odkaz:
https://doaj.org/article/000e8c23fc2a4832a487fd97e8ea79b5
Publikováno v:
Asian Journal of Medical Sciences, Vol 14, Iss 9, Pp 37-42 (2023)
Background: Inguinal hernia surgeries are associated with postoperative pain and discomfort. Transversus abdominis plane (TAP) block and Ilioinguinal/Iliohypogastric (IIIH) nerve blocks are widely used to control postoperative pain. In this study we
Externí odkaz:
https://doaj.org/article/2c05794c6227409e971469175c0366ef
Publikováno v:
Biomedicines, Vol 12, Iss 8, p 1637 (2024)
Aim: Hyperglycemia damages mitochondria and downregulates transcription of mtDNA-encoded genes and the long noncoding RNA LncCytB, causing mitochondrial genomic instability. The genes encoded by mtDNA are transcribed as large polycistronic transcript
Externí odkaz:
https://doaj.org/article/9581d8dff4024fd19b89f2f52e414073
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
IntroductionMitochondrial dynamic plays a major role in their quality control, and the damaged mitochondrial components are removed by autophagy. In diabetic retinopathy, mitochondrial fusion enzyme, mitofusin 2 (Mfn2), is downregulated and mitochond
Externí odkaz:
https://doaj.org/article/adb17db482774aceb97da9fdb08aee7e
Autor:
Ye Hyun Hwang, Bruce Eliot Hayward, Marwa Zafarullah, Jay Kumar, Blythe Durbin Johnson, Peter Holmans, Karen Usdin, Flora Tassone
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract The fragile X mental retardation (FMR1) gene contains an expansion-prone CGG repeat within its 5′ UTR. Alleles with 55–200 repeats are known as premutation (PM) alleles and confer risk for one or more of the FMR1 premutation (PM) disorde
Externí odkaz:
https://doaj.org/article/07527702b6cb46928f8ba5e62a922443
Publikováno v:
Industrial Psychiatry Journal, Vol 31, Iss 2, Pp 248-254 (2022)
Background: Appraisal of hallucinatory voices plays a significant role in anxiety and depression among patients with auditory hallucinations. Metacognitive beliefs are also associated with psychological distress in schizophrenia patients. However, th
Externí odkaz:
https://doaj.org/article/68f713b1d5c04678bf419fd6d5e1442d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 1039-1048 (2022)
Traditional target detection algorithms have difficulty to adapt complex environmental changes and have limited applicable scenarios. However, the deep-learning-based target detection model can automatically learn with strong generalization capabilit
Externí odkaz:
https://doaj.org/article/0360083f20394324a959a468c5e5b976