Impact evaluation and economic benefit analysis of a domestic violence and abuse UK police intervention

Data availability statement: The data analyzed in this study is subject to the following licenses/restrictions: The datasets analyzed for this study are proprietary to The West Midlands Police, the Hampshire Constabulary and The Hampton Trust, and have been shared with the University of Birmingham through information sharing agreements. Requests to access these datasets should be directed to The West Midlands Police, the Hampshire Constabulary, and The Hampton Trust.Copyright © 2023 Karavias, Bandyopadhyay, Christie, Bradbury-Jones, Taylor, Kane and Flowe. This study evaluated the impact and economic benefit of Cautioning and Relationship Abuse (CARA), an intervention which aims to reduce re-offending of first-time low-level domestic violence and abuse perpetrators. The analysis was based on two samples drawn from separate UK police force areas. CARA’s impact was assessed using a matched sample of similar offenders from a time when CARA was not available. The matching was based on a host of offender and victim characteristics and machine learning methods were employed. The results show that the CARA intervention has a significant impact on the amount of recidivism but no significant reduction in the severity of the crimes. The benefit-cost ratio in both police force areas is greater than one and estimated to be 2.75 and 11.1, respectively, across the two police force areas. Thus, for each pound (£) invested in CARA, there is an economic benefit of 2.75–11.1 pounds, annually.Home Office by the Domestic Abuse Perpetrators Research Fund

The prognostic significance of Cdc6 and Cdt1 in breast cancer

DNA replication is a critical step in cell proliferation. Overexpression of MCM2-7 genes correlated with poor prognosis in breast cancer patients. However, the roles of Cdc6 and Cdt1, which work with MCMs to regulate DNA replication, in breast cancers are largely unknown. In the present study, we have shown that the expression levels of Cdc6 and Cdt1 were both significantly correlated with an increasing number of MCM2-7 genes overexpression. Both Cdc6 and Cdt1, when expressed in a high level, alone or in combination, were significantly associated with poorer survival in the breast cancer patient cohort (n = 1441). In line with this finding, the expression of Cdc6 and Cdt1 was upregulated in breast cancer cells compared to normal breast epithelial cells. Expression of Cdc6 and Cdt1 was significantly higher in ER negative breast cancer, and was suppressed when ER signalling was inhibited either by tamoxifen in vitro or letrozole in human subjects. Importantly, breast cancer patients who responded to letrozole expressed significantly lower Cdc6 than those patients who did not respond. Our results suggest that Cdc6 is a potential prognostic marker and therapeutic target in breast cancer patients

Predictive model of biliocystic communication in liver hydatid cysts using classification and regression tree analysis

<p>Abstract</p> <p>Background</p> <p>Incidence of liver hydatid cyst (LHC) rupture ranged 15%-40% of all cases and most of them concern the bile duct tree. Patients with biliocystic communication (BCC) had specific clinic and therapeutic aspect. The purpose of this study was to determine witch patients with LHC may develop BCC using classification and regression tree (CART) analysis</p> <p>Methods</p> <p>A retrospective study of 672 patients with liver hydatid cyst treated at the surgery department "A" at Ibn Sina University Hospital, Rabat Morocco. Four-teen risk factors for BCC occurrence were entered into CART analysis to build an algorithm that can predict at the best way the occurrence of BCC.</p> <p>Results</p> <p><b>I</b>ncidence of BCC was 24.5%. Subgroups with high risk were patients with jaundice and thick pericyst risk at 73.2% and patients with thick pericyst, with no jaundice 36.5 years and younger with no past history of LHC risk at 40.5%. Our developed CART model has sensitivity at 39.6%, specificity at 93.3%, positive predictive value at 65.6%, a negative predictive value at 82.6% and accuracy of good classification at 80.1%. Discriminating ability of the model was good 82%.</p> <p>Conclusion</p> <p>we developed a simple classification tool to identify LHC patients with high risk BCC during a routine clinic visit (only on clinical history and examination followed by an ultrasonography). Predictive factors were based on pericyst aspect, jaundice, age, past history of liver hydatidosis and morphological Gharbi cyst aspect. We think that this classification can be useful with efficacy to direct patients at appropriated medical struct's.</p

Inflation convergence in the EMU

publisher: Elsevier articletitle: Inflation convergence in the EMU journaltitle: Journal of Empirical Finance articlelink: http://dx.doi.org/10.1016/j.jempfin.2016.07.004 content_type: article copyright: © 2016 The Author(s). Published by Elsevier B.V.publisher: Elsevier articletitle: Inflation convergence in the EMU journaltitle: Journal of Empirical Finance articlelink: http://dx.doi.org/10.1016/j.jempfin.2016.07.004 content_type: article copyright: © 2016 The Author(s). Published by Elsevier B.V