Voices from the margins: A qualitative study exploring components influencing psychosocial health and wellbeing among gender minority forced migrants.

Aims: To explore the components that influence health and wellbeing of gender minority forced migrants residing in Sweden.

Methods: Qualitative exploratory study based on semi-structured interviews with gender minority forced migrants recruited through a combination of convenience, purposeful and snowball sampling. Guided by the levels in the social ecological model, transcripts were analysed with systematic text condensation in a collaborative process between experts by lived experience, researchers and clinical psychologist.

Microplastic predictive modelling with the integration of Artificial Neural Networks and Hidden Markov Models (ANN-HMM).

Microplastic pollution poses a significant threat to our environment, necessitating effective predictive modelling approaches for better management and mitigation. In this study, we introduce a pioneering methodology that fuses the power of Artificial Neural Networks (ANN) and Hidden Markov Models (HMM) for microplastic predictive modelling. Leveraging a comprehensive dataset, our integrated model exhibits exceptional performance, with an Accuracy of 0.

The Grenada Learning and Memory Scale: Psychometric features and normative data in Caribbean preschool children.

Objective: Neuropsychological assessment of preschool children is essential for early detection of delays and referral for intervention prior to school entry. This is especially pertinent in low- and middle-income countries (LMICs), which are disproportionately impacted by micronutrient deficiencies and teratogenic exposures. The Grenada Learning and Memory Scale (GLAMS) was created for use in limited resource settings and includes a shopping list and face-name association test.

RNA polymerases reshape chromatin architecture and couple transcription on individual fibers.

RNA polymerases must initiate and pause within a complex chromatin environment, surrounded by nucleosomes and other transcriptional machinery. This environment creates a spatial arrangement along individual chromatin fibers ripe for both competition and coordination, yet these relationships remain largely unknown owing to the inherent limitations of traditional structural and sequencing methodologies. To address this, we employed long-read chromatin fiber sequencing (Fiber-seq) in Drosophila to visualize RNA polymerase (Pol) within its native chromatin context with single-molecule precision along up to 30 kb fibers.

Improving access to cancer care among rural populations in India: Development of a validated tool for health system capacity assessment.

Background: Cancer burden in India is rapidly growing, with oral, breast, and uterine cervix being the three most commonly affected sites. It has a catastrophic epidemiological and financial impact on rural communities, the vast majority of whom are socio-economically disadvantaged. Strengthening the health system is necessary to address challenges in the access and provision of cancer services, thus improving outcomes among vulnerable populations.