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IntroductionThe Emergency Department (ED) opt-out BBV testing programme was initiated in April 2022. People who test positive for HIV are managed by local Sexual Health Services (SHS) for follow-up and partner notification (PN).We reviewed PN outcomes for people diagnosed during the first six months of the London ED programme to assess effectiveness and to measure performance against national PN standards.MethodsSHS representing nine EDs across six NHS Trusts provided PN data for people diagnosed through the ED from 1st April to 30th September 2022. For each index case clinics were asked to provide: data on partners, testing outcomes for contactable partners and timeframes.Primary outcomes were calculated using the BASHH/BHIVA/NAT standards.ResultsA total of 77 index cases were reported for the first 6 months of the programme. A breakdown of partner reporting and follow-up is summarised in Figure 1.Abstrct P042 Figure 1Summary of index patients and PN outcomes[Figure omitted. See PDF]Outcome 1 - Number of contacts tested per total number of index cases= 0.38 (standard 0.6 HCP verified (HCPv); 0.8 HCPv and Index patient reported (IPR))Outcome 2 - Proportion of contactable partners tested= 67.4% (standard 65% HCPv; 85% HCPv and IPR)DiscussionED HIV testing provides an opportunity to diagnose people who are unaware of their status. Partner notification amplifies this reach, allowing healthcare professionals to engage a population who may not be aware they are at risk of HIV, and is extremely effective with high test positivity. Current reported performance of PN is below national standards; however this is likely to improve over time with further follow up. Further examination is being undertaken to determine HCPv outcomes.ReferenceBritish Association for Sexual Health and HIV: HIV partner notification for adults: definitions, outcomes and standards. 2015. https://www.bashhguidelines.org/media/1070/hiv_partner_notification_standards_2015.pdf (accessed 23rd March 2023).

Submitted Photo / Front row (left to right): Hailey Wraight, [Morgan Leeder], Will Colborne, Josh Price, Scott O'Connell, Drew Normand, Ellie Brown, Madison Empey, Landyn Urslak, Margaret Legere. Middle row (left to right): [Ella Meek], Isabella Vignuzzi, Avery Leyden, Madison Heaphy, Noah Penney, Julia Desormeaux, Brooke Lockwood, [Sam Maynard], Trevor Mayhew. Back row (left to right): [Ashton Durie], Matthew Murphy, Kieran Martin, [Nik Grue], [Emily Ball], [Amanda Alblas], Jillian Deck, Tyler Mayhew (absent Jenna Johnston) [PGKV_20140626_Final_K9_01_I001.jpg];

Submitted Photo / These P&G employees braved the wet weather to take part in their company's Day of Caring. They dedicated their day to helping make Holy Cross Catholic School in Kemptville a greener place. Pictured from left to right are Anna Morgan, Katya Tyan, Scott Gray, Ian Potts, [Cathy Noel] and Tracey Veilleux. [PGKV_20140619_Final_K6_01_I001.jpg]; Submitted Photo / These P&G employees braved the wet weather to take part in their company's Day of Caring. They dedicated their day to helping make Holy Cross Catholic School in Kemptville a greener place. Pictured from left to right are Anna Morgan, Katya Tyan, Scott Gray, Ian Potts, Cathy Noel and Tracey Veilleux.;

\"We are very blessed to have such a generous and giving staff.\" Mrs. [Catherine Empey] then shared a quote from Pope Francis - \"Have you thought about the talents that God has given you? Have you thought of how you can put them at the service of others? Do not bury your talents!\" Submitted Photo / The Ukulele Club is very popular at Holy Cross. Pictured in the front row is Emeleigh McLean. In the back row from left to right are Faye Laforce, Olivia Legere, Amanda Alblas, and Avery Leyden. [PGKV_20140123_Final_K3_01_I001.jpg]; Submitted Photo / The Ukulele Club is very popular at Holy Cross. Pictured in the front row is Emeleigh McLean. In the back row from left to right are Faye Laforce, Olivia Legere, Amanda Alblas, and Avery Leyden.;;

This article addresses some critical aspects of the relationship between aesthetic medicine (AM) and ethics and proposes a possible deontological ethical line to pursue based on current practices. The role of AM has always been controversial and suffers from unclear practical and moral boundaries, even within academic settings, since it aims to improve the appearance of individuals, not to cure a disease. Today, it is essential and pertinent to discuss these issues, as AM specialists are dealing with a growing and increasingly demanding patient population that has undergone profound evolution in recent years. Current challenges within the field of AM include a lack of global uniformity concerning the education of AM specialists, an increasing number of physicians practicing AM with diverse training backgrounds, the spread of AM being practiced outside of medical practice or hospital settings, and the influence of social media where the success is modelled and dictated by the identification of a youthful appearance). By the field of action enriched by technologies that aim not only at enhancement per se but also at the preservation and regeneration of tissues, it is necessary to establish an active multidisciplinary discussion on the definition of shared ethical limits. This discussion would allow AM to fully reclaim its identity as a specialty that aims to improve patient well-being whilst maintaining respect for patient aesthetic harmony, the expertise of specialists who practice AM, the essential role of safety, and awareness of the importance of a confidential doctor−patient relationship.

The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in particle accelerators. In this paper, we search for the existence of previously unrecognized features related to the incidence of rf breakdowns by applying a machine learning strategy to high-gradient cavity data from CERN’s test stand for the Compact Linear Collider (CLIC). By interpreting the parameters of the learned models with explainable artificial intelligence (AI), we reverse-engineer physical properties for deriving fast, reliable, and simple rule–based models. Based on 6 months of historical data and dedicated experiments, our models show fractions of data with a high influence on the occurrence of breakdowns. Specifically, it is shown that the field emitted current following an initial breakdown is closely related to the probability of another breakdown occurring shortly thereafter. Results also indicate that the cavity pressure should be monitored with increased temporal resolution in future experiments, to further explore the vacuum activity associated with breakdowns.

The occurrence of vacuum arcs or radio frequency (rf) breakdowns is one of the most prevalent factors limiting the high-gradient performance of normal conducting rf cavities in particle accelerators. In this paper, we search for the existence of previously unrecognized features related to the incidence of rf breakdowns by applying a machine learning strategy to high-gradient cavity data from CERN's test stand for the Compact Linear Collider (CLIC). By interpreting the parameters of the learned models with explainable artificial intelligence (AI), we reverse-engineer physical properties for deriving fast, reliable, and simple rule-based models. Based on 6 months of historical data and dedicated experiments, our models show fractions of data with a high influence on the occurrence of breakdowns. Specifically, it is shown that the field emitted current following an initial breakdown is closely related to the probability of another breakdown occurring shortly thereafter. Results also indicate that the cavity pressure should be monitored with increased temporal resolution in future experiments, to further explore the vacuum activity associated with breakdowns.

The discovery of the electromagnetic counterpart to the binary neutron star merger GW170817 has opened the era of gravitational-wave multi-messenger astronomy. Rapid identification of the optical/infrared kilonova enabled a precise localization of the source, which paved the way to deep multi-wavelength follow-up and its myriad of related science results. Fully exploiting this new territory of exploration requires the acquisition of electromagnetic data from samples of neutron star mergers and other gravitational wave sources. After GW170817, the frontier is now to map the diversity of kilonova properties and provide more stringent constraints on the Hubble constant, and enable new tests of fundamental physics. The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) can play a key role in this field in the 2020s, when an improved network of gravitational-wave detectors is expected to reach a sensitivity that will enable the discovery of a high rate of merger events involving neutron stars (about tens per year) out to distances of several hundred Mpc. We design comprehensive target-of-opportunity observing strategies for follow-up of gravitational-wave triggers that will make the Rubin Observatory the premier instrument for discovery and early characterization of neutron star and other compact object mergers, and yet unknown classes of gravitational wave events.

SN 2017dio shows both spectral characteristics of a type-Ic supernova (SN) and signs of a hydrogen-rich circumstellar medium (CSM). Prominent, narrow emission lines of H and He are superposed on the continuum. Subsequent evolution revealed that the SN ejecta are interacting with the CSM. The initial SN Ic identification was confirmed by removing the CSM interaction component from the spectrum and comparing with known SNe Ic, and reversely, adding a CSM interaction component to the spectra of known SNe Ic and comparing them to SN 2017dio. Excellent agreement was obtained with both procedures, reinforcing the SN Ic classification. The light curve constrains the pre-interaction SN Ic peak absolute magnitude to be around \\(M_g = -17.6\\) mag. No evidence of significant extinction is found, ruling out a brighter luminosity required by a SN Ia classification. These pieces of evidence support the view that SN 2017dio is a SN Ic, and therefore the first firm case of a SN Ic with signatures of hydrogen-rich CSM in the early spectrum. The CSM is unlikely to have been shaped by steady-state stellar winds. The mass loss of the progenitor star must have been intense, \\(\\dot{M} \\sim 0.02\\) \\((\\epsilon_{H\\alpha}/0.01)^{-1}\\) \\((v_\\textrm{wind}/500\\) km s\\(^{-1}\\)) \\((v_\\textrm{shock}/10 000\\) km s\\(^{-1})^{-3}\\) \\(M_\\odot\\)~yr\\(^{-1}\\), peaking at a few decades before the SN. Such a high mass loss rate might have been experienced by the progenitor through eruptions or binary stripping.