Home visits,holy visits: Diasporic pilgrimage to the ‘Holy Land’ amongst Palestinian–Jordanian Christians from Amman

This paper contributes to ‘visiting friends and relatives’ (VFR) discussions within migration and diaspora literatures by proposing a closer theorization of religious mobilities through the conceptual framework of ‘diasporic pilgrimage’. It advances VFR thinking by considering religion as a productive analytical category to interrogate relationships between people and place which sustain and constitute diasporic connection and attachment. This will be explored through the experiences and encounters of Palestinian–Jordanian Christians undertaking visits to places of religious and relational significance across Israel and/or Palestine from Jordan. Through an exploration of ethnographic data collected amongst diasporic Palestinian Christians living in Jordan, diasporic pilgrimage will be theorized as a localized process critically engaging with everyday facets of familiarity and regularity. This will revolve around three main elements of diasporic pilgrimage: translocal connections, temporalities and power geometries which constitute visits from Jordan and the so-called ‘Holy Land’ a diasporic form of religious mobility.     

State estimation for nonlinear state-space transmission models of tuberculosis

Given the high prevalence of tuberculosis (TB) and the mortality rate associated with the disease, numerous models, such as the Gammaitoni and Nucci (GN) model, were developed to model the risk of transmission. These models typically rely on a quanta generation rate as a measurement of infectivity. Since the quanta generation rate cannot be measured directly, the unique contribution of this work is to develop state estimators to estimate the quanta generation rate from available measurements. To estimate the quanta generation rate, the GN model is adapted into an augmented single-room GN model and a simplified two-room GN model. Both models are shown to be observable, i.e., it is theoretically possible to estimate the quanta generation rate given available measurements. Kalman filters are used to estimate the quanta generation rate. First, a continuous-time extended Kalman filter is used for both adapted models using a simulation and measurement sampling rate of 60 s. Accurate quanta generate rate estimates are achieved in both cases. A more realistic scenario is also considered with a measurement sampling rate of one day. For these estimates, a hybrid extended Kalman filter (HEKF) is used. Accurate quanta generation rate estimates are achieved for the more realistic scenario. Future work could potentially use the HEKFs, the adapted models, and real-time measurements in a control system feedback loop to reduce the transmission of TB in confined spaces such as hospitals.     

Embedding Expertise for Policy Responses to COVID-19: Comparing Decision-Making Structures in Two Federal Democracies

Public Organization Review - The COVID-19 crisis focused attention on how experts from different scientific fields provided advice to governments through expert committees and task forces. We...     

Animal Advocacy and the “Good Cop-Bad Cop” Radical Flanking of Laboratory Research

This research explores the concurrent effects of radical and reformist approaches to animal advocacy on how animal welfare is institutionalized in laboratory research. The long-term outcomes of militant animal rights activism are not adequately explained by the two current radical flank effect models: a positive effect where militancy helps moderates, and a negative effect where militancy compromises the movement as a whole. Interviews and participant observation were used to identify a third model—good cop-bad cop radical flanking—that more accurately captures how a longstanding radical fringe of activism affects the institutionalization of animal advocates' demands. Contrary to existing models that describe immediate radical flank effects, a good cop-bad cop model helps explain the long-term effects of militancy and reformism on institutional practices, where activists' seemingly opposing efforts are, in fact, mutually reinforcing.     

A preliminary review of the parenting assessment and skill development service: A 10-day residential service for families at risk of child maltreatment

Tweddle's Parenting Assessment and Skill Development Service (PASDS) is a 10-day residential programme for families at risk of child maltreatment. The service aims to conduct a comprehensive parenting capacity assessment to inform case management and improve parenting practices. The aims of the study were to (1) describe the psychosocial functioning of parents taking part in PASDS, (2) describe the key parenting assessment outcomes, and (3) explore parents' experiences of participation in PASDS including (a) perceived barriers and enablers of participation and (b) perceived outcomes for their family. Participants were 18 parents who participated in Tweddle's PASDS in Melbourne, Australia. A mixed methods study comprising a case file review and qualitative interviews was conducted. Parents accessing PASDS had experienced adverse childhood events, and many were experiencing mental health difficulties. Interviews with parents revealed perceived benefits of PASDS in improving parenting knowledge and skills, family relationships, and parenting confidence. At the time of discharge, 33% of families were assessed as unable to provide independent care for their child. The current findings have important implications for the further evaluation of evidenced-based services which can improve the accuracy of parenting capacity assessments, aiding in child protection decision-making related to child placement and safety.     

MODELING DEMAND DURING LEAD TIME*

This paper treats some of the important considerations in constructing an analytical model for the distribution of demand during lead time. It presents a formal model that can be developed along one of two lines. The first has order size and order intensity leading to a compound distribution of period demand, then period demand and lead time giving rise to a compound distribution of demand during lead time. The second has order intensity and lead time giving rise to a compound distribution of lead-time order intensity, then lead-time order intensity and order size leading to a compound distribution of demand during lead time. The paper also condenses the state of the art in a table and proposes some simple classification schemes that could help researchers extend that state of the art.