The Xeros data model: tracking interpretations of archaeological finds

At an archaeological dig, interpretations are built around discovered artifacts based on measurements and informed intuition. These interpretations are semi-structured and organic, yet existing tools do not capture their creation or evolution. Patina of Notes (PoN) is an application designed to tackle this, and is underpinned by the Xeros data model. Xeros is a graph structure and a set of operations that can deal with the addition, edition, and removal of interpretations. This data model is a specialisation of the W3C PROV provenance data model, tracking the evolution of interpretations. The model is presented, with operations defined formally, and characteristics of the representation that are beneficial to implementations are discussed

'A bit like British Weather, I suppose' Design and Evaluation of the Temperature Calendar

In this paper we present the design and evaluation of the Temperature Calendar -- a visualisation of temperature variation within a workplace over the course of the past week, highlights deviation from organisational temperature policy, and aims to bring staff "into the loop" of understanding and managing heating, and so reduce energy waste. The display was deployed in five public libraries. Analysis of logs, questionnaires and interviews shows staff used the displays to understand heating in their buildings, and took action to relate their libraries to organisational policy and improve thermal comfort. We also present a subsequent lab study, demonstrating that adding electricity consumption to the visualisation did not improve likelihood of spotting heating "errors". Bringing together our results, we discuss three topics of relevance to the research community: design implications for workplace displays, the engagement of staff through focus on organisational policy, and sustainability cost-benefit analysis of the Temperature Calendar

A scoping review of psychological interventions and outcomes for avoidant and restrictive food intake disorder (ARFID)

OBJECTIVE: This scoping review identifies and describes psychological interventions for avoidant restrictive food intake disorder (ARFID) and summarizes how outcomes are measured across such interventions. METHOD: Five databases (Cochrane, Embase, Medline, PsycInfo, Web of Science) were searched up to December 22, 2022. Studies were included if they reported on psychological interventions for ARFID. Studies were excluded if participants did not have an ARFID diagnosis and if psychological interventions were not delivered or detailed. RESULTS: Fifty studies met inclusion criteria; almost half were single-case study designs (23 studies) and most studies reported on psychological interventions for children and adolescents with ARFID (42 studies). Behavioral interventions (16 studies), cognitive-behavioral therapy (10 studies), and family therapy (5 studies), or combinations of these therapeutic approaches (19 studies) were delivered to support patients with ARFID. Many studies lacked validated measures, with outcomes most commonly assessed via physical health metrics such as weight. DISCUSSION: This review provides a comprehensive summary of psychological interventions for ARFID since its introduction to the DSM-5. Across a range of psychological interventions and modalities for ARFID, there were common treatment components such as food exposure, psychoeducation, anxiety management, and family involvement. Currently, studies reporting on psychological interventions for ARFID are characterized by small samples and high levels of heterogeneity, including in how outcomes are measured. Based on reviewed studies, we outline suggestions for clinical practice and future research. PUBLIC SIGNIFICANCE: Avoidant restrictive food intake disorder (ARFID) is an eating disorder characterized by avoidance or restriction of food due to fear, sensory sensitivities, and/or a lack of interest in food. We reviewed the literature on psychological interventions for ARFID and the outcomes used to measure change. Several psychological interventions have been developed and applied to patients with ARFID. Outcome measurement varies widely and requires further development and greater consensus

“Just whack it on until it gets hot”: working with IoT data in the home

This paper presents findings from a co-design project that aims to augment the practices of professional energy advisors with environmental data from sensors deployed in clients’ homes. Premised on prior ethnographic observations we prototyped a sensor platform to support the work of tailoring advice-giving to particular homes. We report on the deployment process and the findings to emerge, particularly the work involved in making sense of or accounting for the data in the course of advice-giving. Our ethnomethodological analysis focuses on the ways in which data is drawn upon as a resource in the home visit, and how understanding and advice-giving turns upon unpacking the indexical relationship of the data to the situated goings-on in the home. This insight, coupled with further design workshops with the advisors, shaped requirements for an interactive system that makes the sensor data available for visual inspection and annotation to support the situated sense-making that is key to giving energy advice

Predictors of Mental Health Review Tribunal (MHRT) outcome in a forensic inpatient population:a prospective cohort study

Abstract Background Previous studies have investigated factors associated with outcome at Mental Health Review Tribunals (MHRTs) in forensic psychiatric patients; however, dynamic variables such as treatment compliance and substance misuse have scarcely been examined, particularly in UK samples. We aimed to determine whether dynamic factors related to behaviour, cooperation with treatment, and activities on the ward were prospectively associated with outcome at MHRT. Methods At baseline, demographic, clinical, behavioural, and treatment-related factors were ascertained via electronic medical records and census forms completed by the patient\u2019s clinical team. Data on MHRTs (i.e., number attended, responsible clinician\u2019s recommendation, and outcome) were collected at a 2-year follow-up. Logistic regression analyses were performed to determine factors associated with outcome among those who attended a MHRT within the follow-up period. Of the 135 forensic inpatients examined at baseline, 79 patients (59%) attended a MHRT during the 2-year follow-up period and therefore comprised the study sample. Of these 79 patients included in the current study, 28 (35%) were subsequently discharged. Results In univariable analyses, unescorted community leave, responsible clinician\u2019s recommendation of discharge, and restricted Mental Health Act section were associated with a greater likelihood of discharge at MHRT; whilst inpatient aggression, a recent episode of acute illness, higher total score on the Historical Clinical Risk \u2013 20 (HCR-20), higher HCR-20 clinical and risk scores, and agitated behaviour were negatively associated with discharge ( p \u2009<\u20090.05). In multivariable analyses, HCR-20 clinical scale scores and physical violence independently predicted outcome at tribunal after controlling for other dynamic variables. Conclusion By identifying dynamic factors associated with discharge at tribunal, the results have important implications for forensic psychiatric patients and their clinical teams. Our findings suggest that by reducing levels of agitated behaviour, verbal aggression, and physical violence on the ward, achieving unescorted community leave, and targeting specific items on the HCR-20 risk assessment tool, patients may be able to improve their changes of discharge at a MHRT

“Just whack it on until it gets hot”: working with IoT data in the home

This paper presents findings from a co-design project that aims to augment the practices of professional energy advisors with environmental data from sensors deployed in clients’ homes. Premised on prior ethnographic observations we prototyped a sensor platform to support the work of tailoring advice-giving to particular homes. We report on the deployment process and the findings to emerge, particularly the work involved in making sense of or accounting for the data in the course of advice-giving. Our ethnomethodological analysis focuses on the ways in which data is drawn upon as a resource in the home visit, and how understanding and advice-giving turns upon unpacking the indexical relationship of the data to the situated goings-on in the home. This insight, coupled with further design workshops with the advisors, shaped requirements for an interactive system that makes the sensor data available for visual inspection and annotation to support the situated sense-making that is key to giving energy advice