Publications by authors named "R C Williams"

Drug addiction is a multifactorial syndrome in which genetic predispositions and exposure to environmental stressors constitute major risk factors for the early onset, escalation, and relapse of addictive behaviors. While it is well known that stress plays a key role in drug addiction, the genetic factors that make certain individuals particularly sensitive to stress and, thereby, more vulnerable to becoming addicted are unknown. In an effort to test a complex set of gene x environment interactions-specifically gene x chronic stress-here we leveraged a systems genetics resource: BXD recombinant inbred mice (BXD5, BXD8, BXD14, BXD22, BXD29, and BXD32) and their parental mouse lines, C57BL/6J and DBA/2J.

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Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed and optimized for sequential logic operations. This calls for the development of novel computing units beyond transistors. Inspired by the high efficiency and adaptability of biological neural networks, computing systems mimicking the capabilities of biological structures are gaining more attention.

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Objective: Major amputation and death are significant outcomes after lower limb revascularisation for chronic limb threatening ischaemia (CLTI), but there is limited evidence on their association with the timing of revascularisation. The aim of this study was to examine the relationship between time from non-elective admission to revascularisation and one year outcomes for patients with CLTI.

Methods: This was an observational, population based cohort study of patients aged ≥ 50 years with CLTI admitted non-electively for infra-inguinal revascularisation procedures in English NHS hospitals from January 2017 to December 2019 recorded in the Hospital Episode Statistics database.

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Many healthcare professionals are experiencing increased stress and burnout, worsened by the COVID-19 pandemic, leading to negative individual and organizational outcomes such as mental illness, maladaptive coping, job dissatisfaction, poor patient care, and higher turnover costs. Mindfulness practice is a promising evidence-based approach to impact stress and burnout. This quality improvement pilot project evaluated the impact of a free mindfulness smartphone application on stress and burnout levels in certified or licensed adult healthcare professionals over 6 weeks.

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Background: Previous economic evidence about interventions for schizophrenia is outdated, non-transparent and/or limited to a specific clinical context.

Aims: We developed a discrete event simulation (DES) model for estimating the cost-effectiveness of interventions in schizophrenia in the UK.

Method: The DES model was developed based on the structure of previous models, populated with demographic, clinical and cost data from the UK, and antipsychotics' effects from recent network meta-analyses.

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