Results 21 to 30 of about 1,686 (117)
This cross‐sectional study investigated the relationships between ultra‐processed food (UPF) consumption, night eating symptoms, and gastrointestinal (GI)‐specific anxiety in 205 women with polycystic ovary syndrome (PCOS). UPF consumption was associated with GI‐specific anxiety in unadjusted analyses but was not an independent predictor after ...
Emine Merve Ekici +3 more
wiley +1 more source
A continuum model as a limit of large finite matching markets
The continuum matching model has been instrumental in the studies of finite economies. Yet, there is limited theoretical justification on whether and when a continuum model approximates large finite problems. In this paper, I study the following question: if we randomly sample finite economies from some distribution, will the stable assignments of ...
Aram Grigoryan
wiley +1 more source
This thesis investigates the impact of incomplete information and behavioral biases in the context of market design. In chapter 2, I analyze centralized matching markets and rationalize why the arguably most heavily used mechanism in applications, the
Fernandez, Marcelo Ariel
core +1 more source
Practitioner Acceptability of Virtual Reality Therapy in Mental Health Care: Evidence From Greece
In a survey of 40 Greek mental health practitioners, virtual reality therapy (VRT) was viewed as acceptable—particularly for anxiety disorders and as an adjunct for bipolar disorder and schizophrenia—yet concerns about training, infrastructure, and service readiness limited support for routine clinical integration.
Rigina Skeva +5 more
wiley +1 more source
Filling position incentives in matching markets [PDF]
One of the main problems in the hospital-doctor matching is the maldistribution of doctor assignments across hospitals. Namely, many hospitals in rural areas are matched with far fewer doctors than what they need.
Afacan, Mustafa Oğuz
core
Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley +1 more source
Palliative care provision varies widely, and the effectiveness of palliative and hospice care teams (PCHCT) is unproven. To determine the effect of PCHCT, 10 electronic databases (to 2000), 4 relevant journals, associated reference lists, and the grey ...
Finlay, I G +28 more
core +1 more source
We propose APB‐FLDPA, an adaptive and privacy‐preserving federated learning framework for multi‐institutional healthcare analytics that integrates Byzantine‐resilient aggregation, selective differential privacy, attention‐based feature earning, personalization, and blockchain‐based auditability.
Md Kamran Hussin Chowdhury +4 more
wiley +1 more source
Hypertension, widely recognized as the “silent killer,” remains a leading cause of cardiovascular, renal, and neurological complications worldwide. This study proposes a dual‐scenario hybrid machine learning framework for hypertension risk prediction using noninvasive body composition features, aimed at enhancing both interpretability and predictive ...
Abdul Wahid Mirzaye +3 more
wiley +1 more source
Background Preterm birth (PTB) affects ~11% of women worldwide. The COVID‐19 pandemic put an additional burden on this already challenging situation. Aims We aimed to analyse (1) the impact of the COVID‐19 pandemic on the severity of specific depressive, anhedonia, anxiety and self‐harm thoughts (SHTs) symptoms in mothers of preterm babies, (2 ...
Magdalena Chrzan-Dętkoś +3 more
wiley +1 more source

