The Bridge University

We report the observation of an unexpected phase transition at high magnetic fields between the spin-flop and spin-flip transitions in the d-electron antiferromagnetic metal V5S8. High-precision magnetic, thermal and electrical transport measurements enable the transitions to be tracked up to fields as high as 35 T and at temperatures down to the milli-kelvin range revealing three distinct magnetic quantum phase transitions. We present a model that finds agreement with our observation of a triad of spin transitions involving two sublattices with frustrated inter-and intra-sublattice spin couplings.

Forced oscillation technique is more feasible than spirometry in children with neuromuscular disorders. This may make it a useful alternative to spirometry in children with advanced disease. https://bit.ly/48cNup0.

Childbirth is a critical and transformative experience in a woman's life; however, it is often accompanied by fear and perceived as a highly stressful event. Fear of childbirth may adversely affect a woman's confidence in her ability to give birth and her perceived competence regarding the birthing process. This study aimed to investigate the effect of motivational interviewing on childbirth self-efficacy and birth satisfaction among pregnant women. The study sample consisted of 85 pregnant women who were randomly assigned to either an intervention or a control group. Participants in the intervention group attended motivational interviewing sessions conducted over a 4-week period. Mode of birth and birth satisfaction were evaluated during the postpartum period. Among women in the intervention group, nearly 70% had a vaginal birth, and approximately 63% reported being satisfied with their childbirth experience. A statistically significant difference was observed between the groups in total childbirth self-efficacy scores following the intervention. The findings indicate that motivational interviewing can enhance childbirth self-efficacy and decrease the preference for cesarean birth.Trial registration: Registered in the ClinicalTrials.gov (NCT06082895).

Excessive tooth brushing force can contribute to oral health issues such as gum recession and bleeding. While some electric toothbrushes offer force feedback, manual toothbrushes remain widely used due to their affordability and accessibility but do not give this sort of information to users. Therefore, they often lack awareness of the force they apply while brushing. In this paper, we introduce HearForce, the first system to estimate tooth brushing force from manual toothbrushing using widely available earbuds. Unlike existing solutions that require significant modifications to toothbrushes, HearForce leverages in-ear microphones on commercial earbuds to capture bone-conducted toothbrushing sound propagating from the oral cavity to the ear canals. Our key insight is that variations in brushing force modulate these toothbrushing sounds due to the friction effect, allowing us to infer force levels through deep learning. However, individual habitual and anatomical differences introduce significant challenges for force estimation. To mitigate this, we propose a self-supervised representation learning network with a cross-attention mechanism to suppress user-dependent variability and a heuristic calibration strategy to adapt the model to different brushing habits. Through extensive evaluation, HearForce demonstrates force estimation capabilities with a Mean Absolute Error (MAE) of 37.3g in user-independent settings, corresponding to 11.4% of the typical force dynamic range. Our study makes the first step in the use of everyday earbuds for manual toothbrushing force monitoring, paving the way for accessible solutions to improve brushing habits for manual toothbrush users globally.