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Biology subjects

Thapa, B.

Publications and source records attributed to Thapa, B..

2 recordsLinked to original sources

Pre-departure psychological distress and associated factors among migrant workers of Nepal

IntroductionForeign employment is the most significant motivation for international migration in Nepal. However, migrant workers are vulnerable to many exploitations that lead to psychological distress during the pre-departure phase and at the destination. The study aimed to identify the prevalence and associated factors for psychological distress among migrant workers during the pre-departure phase. MethodsThis was a cross-sectional study based on the representative sample of 445 migrant workers. A 21-item Depression Anxiety Stress Scale (DASS-21) and Pre-Departure Risk Factors Perception Scale (PD-RFPS) at the workplace were self-administered to migrant workers selected randomly attending the pre-departure orientation program. Bivariate and multivariate logistic regression was performed to identify the associated factors. ResultsPrevalence of psychological distress (Depression, Anxiety and Stress) was identified as 20.9% and female (AOR=2.02, p-value=0.041) and perception of bad working conditions (AOR=2.44, p-value=0.046) were found significantly associated with pre-departure psychological distress. ConclusionData suggests the presence of symptoms of psychological distress among migrant workers during the pre-departure phase and perception of risk factors at the workplace were found significantly associated with pre-departure psychological distress. Concern bodies should provide in-depth orientation on possible risk factors at the destination and coping skills for psychological distress during the pre-departure orientation program.

scientific communication and education↗

Achieving High-Resolution Whole-Brain Slab 1H-MRSI with Compressed-Sensing and Low-Rank Reconstruction at 7 Tesla

Low sensitivity MR techniques such as magnetic resonance spectroscopic imaging (MRSI) greatly benefit from the gain in signal-to-noise (SNR) provided by ultra-high field MR. High-resolution and whole-brain slab MRSI remains however very challenging due to lengthy acquisition, low signal, lipid contamination and field inhomogeneity. In this study, we propose an acquisition-reconstruction scheme that combines a 1H-FID-MRSI sequence with compressed sensing acceleration and low-rank modeling with total-generalized-variation constraint to achieve metabolite imaging in two and three dimensions at 7 Tesla. The resulting images and volumes reveal highly detailed distributions that are specific to each metabolite and follow the underlying brain anatomy. The MRSI method was validated in a high-resolution phantom containing fine metabolite structures, and in 3 healthy volunteers. This new application of compressed sensing acceleration paves the way for high-resolution MRSI in clinical setting with acquisition times of 5 min for 2D MRSI at 2.5 mm and of 20 min for 3D MRSI at 3.3 mm isotropic.

neuroscience↗