Clinical Manifestations.

Background: Cognitive assessments are essential for the diagnosis of mild cognitive impairment (MCI) and dementia. However, existing tests are mostly developed in English-speaking cohorts. Hence, their application in multilingual populations will need translation which may affect their test psychometrics.

Clinical Manifestations.

Background: Epilepsy is associated with increased risk for dementia, which adversely impacts the quality of life for patients and their families. Mild cognitive impairment (MCI) is the prodromal stage of dementia offering an important window for intervention. However, the epilepsy related risk factors for MCI are not well understood.

Risk factors, urodynamic characteristics, and distress associated with nocturnal enuresis in overactive bladder -wet women.

Patients with overactive bladder syndrome-wet (OAB-wet) experience urgency urinary incontinence, particularly urinary frequency and nocturia. Nocturnal enuresis (NE) is less addressed among OAB-wet patients. The study evaluated the prevalence of NE, lower urinary tract symptoms (LUTS), urodynamic factors, and social factors in OAB-wet patient.

Sub-zero soil CO respiration in biostimulated hydrocarbon-contaminated cold-climate soil can be linked to the soil-freezing characteristic curve.

Extending unfrozen water availability is critical for stress-tolerant bioremediation of contaminated soils in cold climates. This study employs the soil-freezing characteristic curves (SFCCs) of biostimulated, hydrocarbon-contaminated cold-climate soils to efficiently address the coupled effects of unfrozen water retention and freezing soil temperature on sub-zero soil respiration activity. Freezing-induced soil respiration experiments were conducted under the site-relevant freezing regime, programmed from 4 to - 10 °C at a seasonal soil-freezing rate of - 1 °C/day.

Enhancing Sensitivity of Point-of-Care Thyroid Diagnosis via Computational Analysis of Lateral Flow Assay Images Using Novel Textural Features and Hybrid-AI Models.

Lateral flow assays are widely used in point-of-care diagnostics but face challenges in sensitivity and accuracy when detecting low analyte concentrations, such as thyroid-stimulating hormone biomarkers. This study aims to enhance assay performance by leveraging textural features and hybrid artificial intelligence models. A modified Gray-Level Co-occurrence Matrix, termed the Averaged Horizontal Multiple Offsets Gray-Level Co-occurrence Matrix, was utilised to compute the textural features of the biosensor assay images.