Publications by authors named "T Alnasser"
Background: The circulating violent news about the war on Gaza is believed to impact the mental health status of people globally especially in Jordan, the closest country to Palestine. Also, women are more vulnerable to mental distress.
Aims: This study investigates the prevalence and correlates of post-traumatic stress disorder (PTSD), depression, insomnia, and fibromyalgia among Jordanian females exposed to the Gaza war news.
Article Synopsis
- Chronic pulmonary embolism (PE) can lead to a serious condition called pulmonary hypertension (CTEPH), and scientists are exploring how artificial intelligence (AI) can help doctors diagnose it better using CT scans.
- Researchers reviewed studies to see how AI tools are used to analyze CT pulmonary angiography (CTPA) in patients with chronic PE and CTEPH.
- The review found that there are only a few studies using AI for this purpose, and while some methods showed promise, the details about how they were developed were not consistently reported.
Cultural awareness reminds ABA service providers of the importance of considering the cultural practices of others when programming for behavior change. Decisions about the appropriateness of services may be difficult, however, when the values of the client conflict with the values of the culture(s) to which the client belongs or with the cultural biases of the practitioner. To minimize such conflicts, we propose a decision-making model that integrates client-centered and culture-centered assessments of habilitative validity.
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- This text talks about how scientists are using artificial intelligence (AI) to help identify different parts of the heart in medical images, especially using CT scans.
- The researchers looked at 18 studies from 2020 onwards to see how well these AI methods worked in segmenting heart structures and found that the AI performed pretty well overall.
- However, they noticed that many of the studies didn't check their AI tools on other data and weren't very clear about their methods, which could be improved.
Most photovoltaic (PV) technologies are opaque to maximize visible light absorption. However, see-through solar cells open additional perspectives for PV integration. Looking beyond maximizing visible light harvesting, this work considers the human eye photopic response to optimize a selective near-infrared sensitizer based on a polymethine cyanine structure (VG20-C ) to render dye-sensitized solar cells (DSSCs) fully transparent and colorless.
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