Are trauma-related beliefs associated with psychosis symptoms? A systematic review and meta-analysis.

Trauma-related beliefs are theorized to contribute to the development and maintenance of psychosis symptoms. However, the evidence for this proposal has yet to be systematically reviewed. This article is the first to synthesize and meta-analyze studies examining associations between trauma-related beliefs and psychosis symptoms, including hallucinations, delusions, paranoia, and negative symptoms.

Menopause knowledge, attitudes and experiences of women in Saudi Arabia: a qualitative study.

Background: Menopause can be seen as a complex phenomenon influenced by an individual's cultural norms, belief systems, and lifestyle choices. In conservative societies such as Saudi Arabia, some women silently struggle with menopause due to cultural taboos and social stigma, making their experiences invisible and lowering their quality of life. The aim of this study was to explore in-depth the knowledge, attitudes, and experiences of middle-aged Saudi women with menopause.

Cultured primary turtle hepatocytes: a cellular model for the study of temperature and anoxia.

Turtle hepatocytes are a nonexcitable model for metabolic depression during low-temperature and/or anoxic overwintering conditions. Cytoskeletal structure and mitochondrial distribution are continuously modified in cells, and we hypothesized that metabolic depression would inhibit such processes as cell attachment and spreading and promote withdrawal of cell protrusions and peripheral mitochondria. After developing a methodology for culturing painted turtle hepatocytes, two-dimensional (2-D) area and maintenance of cell attachment after a media change were used as indicators of structural rearrangement and spreading/volume.

Data Consistent Deep Rigid MRI Motion Correction.

Motion artifacts are a pervasive problem in MRI, leading to misdiagnosis or mischaracterization in population-level imaging studies. Current retrospective rigid intra-slice motion correction techniques jointly optimize estimates of the image and the motion parameters. In this paper, we use a deep network to reduce the joint image-motion parameter search to a search over rigid motion parameters alone.