Effectiveness of Damoctocog Alfa Pegol to Treat Patients With Hemophilia A Enrolled in the ATHNdataset.

Objectives: Health information for 17 109 people living with hemophilia A (PLwHA) is contained within the ATHNdataset. We aimed to evaluate the real-world effectiveness of damoctocog alfa pegol (BAY 94-9027, Jivi®) for hemophilia A.

Methods: The ATHNdataset was queried for PLwHA receiving damoctocog alfa pegol between January 1, 2010 and April 30, 2022.

Application of Artificial Intelligence and Machine Learning Was Not Able to Reliably Predict Poor Outcomes in People With Hemophilia.

Background Artificial intelligence (AI) and machine learning (ML) are currently used in the clinical field to improve the outcome predictions on disease diagnosis and prognosis. However, to date, few AI/ML applications have been reported in rare diseases, such as hemophilia. In this study, taking advantage of the ATHNdataset, an extensive repository of hemostasis and thrombosis data, we aimed to demonstrate the application of AI/ML approaches to build predictive models to identify persons with hemophilia (PwH) who are at risk of poor outcome and to inform providers in clinical decision-making towards helping patients prevent long-term complications.

Risk of Intracranial Hemorrhage in Persons with Hemophilia A in the United States: Real-World Retrospective Cohort Study Using the ATHNdataset.

Introduction: Intracranial hemorrhage (ICH), a serious complication in persons with hemophilia A (PWHA), causes high rates of mortality and morbidity. Identified ICH risk factors from patient data spanning 1998-2008 require reassessment in light of changes in the current treatment landscape.

Aim And Methods: PWHA identified in the ATHNdataset were evaluated retrospectively to assess incidence of ICH and determine the association between ICH risk and key characteristics using time-to-event analyses (Cox proportional-hazards models, survival curves, and sensitivity analyses).

Enhancement of Spontaneous Photon Emission in Inverse Photoemission Transitions in Semiconductor Quantum Dots.

Inverse photoemission (IPE) is a radiative electron capture process where an electron is transiently captured in the conduction band (CB) followed by intraband de-excitation and spontaneous photon emission. IPE in quantum dots (QDs) bypasses optical selection rules for populating the CB and provides insights into the capacity for electron capture in the CB, the propensity for spontaneous photon emission, intraband transition energies where both initial and final states are in the CB, and the generation of photons with frequencies lower than the bandgap. Here, we demonstrate using time-dependent perturbation theory that judicious application of electric fields can significantly enhance the IPE transition in QDs.

Interfacial B-Site Ion Diffusion in All-Inorganic Core/Shell Perovskite Nanocrystals.

All-inorganic metal halide perovskites (ABX, X = Cl, Br, or I) show great potential for the fabrication of optoelectronic devices, but the toxicity and instability of lead-based perovskites limit their applications. Shell passivation with a more stable lead-free perovskite is a promising strategy to isolate unstable components from the environment as well as a feasible way to tune the optical properties. However, it is challenging to grow core/shell perovskite nanocrystals (NCs) due to the soft ionic nature of the perovskite lattice.

Love Data Week in the time of COVID-19: A content analysis of Love Data Week 2021 events.

A primary role for data-focused librarians is building community through traditional and novel modes of in-person outreach, including consultations, training, and themed events such as Love Data Week. Unfortunately, the COVID-19 pandemic rendered in-person events impossible. However, Love Data Week 2021 persisted in an online format, allowing data-focused librarians a unique chance to initiate outreach to geographically dispersed constituents.

Co-creating a social science research agenda for clean sport: An international Delphi study.

Background: Doping in sport is a significant issue. To date, research informing doping prevention has lacked a framework guiding research priorities. To ensure research is coordinated, sustainable and focused on end-user priorities, this study co-created the first research agenda for doping prevention.

The impact of citrate introduction at UK syringe exchange programmes: a retrospective cohort study in Cheshire and Merseyside, UK.

Background: In 2003, it became legal in the UK for syringe exchange programmes (SEPs) to provide citrate to injecting drug users to solubilise heroin. Little work has been undertaken on the effect of policy change on SEP function. Here, we examine whether the introduction of citrate in Cheshire and Merseyside SEPs has altered the number of heroin/crack injectors accessing SEPs, the frequency at which heroin/crack injectors visited SEPs and the number of syringes dispensed.

Information processing speed in ecstasy (MDMA) users.

Previous research draws parallels between ecstasy-related and age-related deficits in cognitive functioning. Age-related impairments in working memory have been attributed to a slow down in information processing speed. The present study compared 29 current ecstasy users, 10 previous users and 46 non-users on two tests measuring information processing speed and a computation span task measuring working memory.

Clarification of yeast cell suspensions by depth filtration.

Depth filtration can be very attractive for initial clarification because of low capital costs and ease of operation. However, there is currently no fundamental understanding of the effects of the filter pore size and morphology on the overall capacity and filtrate quality. The objective of this study was to examine the flux, capacity, and filtrate turbidity of a series of depth filters with different pore size ratings and multilayer structures for the filtration of yeast cell suspensions.

Impact of participant and physician intervention preferences on randomized trials: a systematic review.

Context: Allocation on the basis of randomization rather than patient choice is the gold standard of unbiased estimates of efficacy in clinical medicine. However, randomly allocating patients to treatments that do not accord with their preferences may influence internal and external validity.

Objective: To determine whether preferences affect recruitment to trials (external validity) and outcomes in trials (internal validity).