OAR@UM Collection:

The silent strain : passive-aggressive behaviour in relationships and its impact on health

Sun, 01 Mar 2026 00:00:00 GMT

Title: The silent strain : passive-aggressive behaviour in relationships and its impact on health Abstract: Passive-aggressive behaviour, a subtle yet destructive form of communication, often slips beneath the radar in relationships. While it might not involve outright confrontation, its effects can be profound, slowly eroding trust, connection, and even the well-being of those involved. Whether in romantic relationships, friendships, or family dynamics, the silent hostility of passive-aggression can leave a trail of emotional confusion and long-term health consequences. Understanding what passive-aggressive behaviour is, how it manifests, and the toll it takes on both mental and physical health is essential for maintaining healthy, balanced relationships.

The chemistry of conflict : what happens in our brain during an argument in a relationship

Sun, 01 Mar 2026 00:00:00 GMT

Title: The chemistry of conflict : what happens in our brain during an argument in a relationship Abstract: Arguments are an inevitable part of any relationship. Whether over trivial matters like whose turn it is to do the dishes or weightier concerns involving trust and priorities, conflicts can sometimes turn a calm conversation into a heated exchange. While the emotional aspects of arguments often take centre stage, there's a lesser-known, yet critical component to understanding these conflicts - brain chemistry. Behind every word spoken in the heat of an argument lies a symphony of chemicals that shape our reactions, emotions, and ultimately, the outcome of a conflict. [excerpt]

Estimating original bacterial loads from delayed clinical samples : a methodological modeling and empirical validation study

Thu, 01 Jan 2026 00:00:00 GMT

Title: Estimating original bacterial loads from delayed clinical samples : a methodological modeling and empirical validation study Authors: Al Mahrizi, Ahmed Dawood; Mossolem, Fatima; Blundell, Renald Abstract: Delays in the processing of clinical samples (urine, blood, CSF) distort bacterial colony-forming units (CFUs) due to variable storage/transit, resulting in inaccurate initial load estimates and delayed treatment. This study presents and empirically validates the Al Mahrizi–Mossolem viability correction model (MM-VCM), an inverse logistic growth–decay framework used to back-calculate original loads (N₀) from delayed observations (Nt), accounting for temperature-dependent growth, lag phases, decay, and carrying capacities. Methods MM-VCM employs a closed-form equation derived from a Gaussian-modulated doubling time (optimal at 37 °C, SD 5 °C) integrated into logistic dynamics. The parameters (lag 0.3–0.6 h, decay 0.01–0.013 h−1, capacity ∼109 CFU/mL), drawn from the literature, were applied to eight pathogen–matrix pairs (e.g., E. coli in urine/blood and N. meningitidis in CSF). Validation involved 4000 iterations of Monte Carlo and Bayesian simulations in R (v4.3.1) for 0–24 h delays (25 °C mean, SD 2 °C), with Nt ∼108 CFU/mL, plus Sobol sensitivity analysis. Model predictions were compared to a multicenter clinical blood culture storage dataset using actual sample group inocula and positivity rates. Results The simulations revealed that N₀ declined exponentially from ∼108 CFU/mL at t = 0 to 1.3–2.0 × 107 CFU/mL at t = 24 h, with 95% confidence intervals widening from ∼107 CFU/mL (t = 2 h) to >4 × 107 CFU/mL (t = 24 h). The probabilities of significant loads (>105 CFU/mL) exceeded 0.99 for ≤6 h delays, whereas the CSF pairs presented greater stability (0.89–0.90 at 24 h). Temperature primarily drove uncertainty (Sobol indices >0.95), and the Bayesian results aligned closely (<5% differences). Empirical results for E. coli, S. aureus, and S. pneumoniae at 25 °C revealed that model predictions broadly corresponded with observed detection trends, with stronger agreement for S. aureus and S. pneumoniae, providing preliminary support for the model's real-world applicability. Conclusion MM-VCM enables efficient preanalytic corrections for bacterial loads, supporting diagnostics where resampling is infeasible (e.g., CSF, high-volume labs). Empirical validation against a multicenter clinical blood culture dataset at 25 °C revealed that model predictions broadly corresponded with observed detection patterns for S. aureus and S. pneumoniae, with greater variability observed for E. coli, supporting the model's potential utility pending further validation. [excerpt]

Pomegranate : a superfood or health risk? balancing benefits and cautions

Sun, 01 Mar 2026 00:00:00 GMT

Title: Pomegranate : a superfood or health risk? balancing benefits and cautions Abstract: Pomegranates have long been celebrated for their impressive health benefits and rich nutrient content. Known as a symbol of life and fertility in various cultures, this crimson fruit offers a wealth of vitamins, antioxidants, and minerals that make it a favourite addition to diets worldwide. However, recent studies have shed light on some potential health risks associated with pomegranate consumption, particularly due to heavy metal contamination and interactions with certain medications. This article explores the fine balance between the health benefits and potential risks of pomegranates, aiming to provide a comprehensive understanding for those who enjoy this fruit. [excerpt]