The transition into adoptive parenthood: adoption as a process of continued unsafe uncertainty when family scripts collide

Our prospective study investigated couples’ expectations of adoptive parenthood and explored how these changed with their actual experience of parenthood. Six heterosexual couples were interviewed just before placement began and six months after the children had arrived. Interpretative Phenomenological Analysis (IPA) was used to analyse both sets of interview data. Expectations of adoptive parenthood mostly transformed smoothly into adoption experience for couples but challenges were experienced when family scripts collided and a continued feeling of unsafe uncertainty then prevailed within these newly formed family systems. Family script collision seemed a particular problem for couples adopting sibling pairs. To further professional practice in working with families over the transition to adoptive parenting we suggest that professionals keep in mind a framework that includes: Internal and external world influences on family members, Intergenerational issues, Family scripts, and the Structural challenges of adoption (IIFS)

Early recognition of coeliac disease through community pharmacies: A proof of concept study

Setting: 15 community pharmacies in the UK Objective: Proof of concept study to test the use of community pharmacies for active case finding of patients with coeliac disease. Method: Customers accessing over-the counter and prescription medicines indicated in the treatment of possible symptoms of coeliac disease over a six month period were offered a free point of care test. All patients were given advice regarding the test results and those who tested positive were advised to make an appointment with their general practitioner. Patients and pharmacists involved in service provision were asked to complete a satisfaction survey. Pharmacists were additionally invited to undertake interviews to better understand their views on the service. Main outcome measures: Feasibility of service, acceptability to stakeholders and proportion testing positive for coeliac disease. Results: Of the 551 individuals tested, 52 (9.4%) tested positive. 277 (50.3%) were tested for accessing irritable bowel syndrome treatment, 142 (25.8%) due to presenting for diarrhoea. The proportion of patients testing positive with different symptoms or for different treatments were similar. Of 43 customers who returned the satisfaction survey, all would recommend the service to others, believing the community pharmacy to be a suitable location. Community pharmacists believed that it enabled them to improve relationships with their customers and that medical practices were receptive to the service. Conclusion: This proof of concept study has shown that community pharmacies using a point of care test can effectively recognise and refer patients for confirmatory coeliac disease testing with high levels of customer and service provider satisfaction

Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence

Despite the progress in deep learning networks, efficient learning at the edge (enabling adaptable, low-complexity machine learning solutions) remains a critical need for defense and commercial applications. We envision a pipeline to utilize large neuroimaging datasets, including maps of the brain which capture neuron and synapse connectivity, to improve machine learning approaches. We have pursued different approaches within this pipeline structure. First, as a demonstration of data-driven discovery, the team has developed a technique for discovery of repeated subcircuits, or motifs. These were incorporated into a neural architecture search approach to evolve network architectures. Second, we have conducted analysis of the heading direction circuit in the fruit fly, which performs fusion of visual and angular velocity features, to explore augmenting existing computational models with new insight. Our team discovered a novel pattern of connectivity, implemented a new model, and demonstrated sensor fusion on a robotic platform. Third, the team analyzed circuitry for memory formation in the fruit fly connectome, enabling the design of a novel generative replay approach. Finally, the team has begun analysis of connectivity in mammalian cortex to explore potential improvements to transformer networks. These constraints increased network robustness on the most challenging examples in the CIFAR-10-C computer vision robustness benchmark task, while reducing learnable attention parameters by over an order of magnitude. Taken together, these results demonstrate multiple potential approaches to utilize insight from neural systems for developing robust and efficient machine learning techniques.Comment: 11 pages, 4 figure

Constraints on the χ_(c1) versus χ_(c2) polarizations in proton-proton collisions at √s = 8 TeV

The polarizations of promptly produced χ_(c1) and χ_(c2) mesons are studied using data collected by the CMS experiment at the LHC, in proton-proton collisions at √s=8  TeV. The χ_c states are reconstructed via their radiative decays χ_c → J/ψγ, with the photons being measured through conversions to e⁺e⁻, which allows the two states to be well resolved. The polarizations are measured in the helicity frame, through the analysis of the χ_(c2) to χ_(c1) yield ratio as a function of the polar or azimuthal angle of the positive muon emitted in the J/ψ → μ⁺μ⁻ decay, in three bins of J/ψ transverse momentum. While no differences are seen between the two states in terms of azimuthal decay angle distributions, they are observed to have significantly different polar anisotropies. The measurement favors a scenario where at least one of the two states is strongly polarized along the helicity quantization axis, in agreement with nonrelativistic quantum chromodynamics predictions. This is the first measurement of significantly polarized quarkonia produced at high transverse momentum