A Multi-Configuration Mixing Approach with Symmetry-Projected Complex Hartree-Fock-Bogoliubov Determinants

A multi-configuration mixing approach built on essentially complex, symmetry-projected Hartree-Fock-Bogoliubov (HFB) mean fields is introduced. The mean fields are obtained by variation after projection. The configuration space consists out of the symmetry-projected HFB vacuum and the symmetry-projected two-quasiparticle excitations for even, and the symmetry-projected one-quasiparticle excitations for odd A systems. The underlying complex HFB transformations are assumed to be time-reversal invariant and axially symmetric. The model allows nuclear structure calculations in large model spaces with arbitrary two-body interactions. The approach has been applied to $^{20}$Ne and $^{22}$Ne. Good agreement with the exact shell model results and considerable improvement with respect to older calculations, in which only real HFB transformations were admitted, is obtained.Comment: 30 pages LaTeX file, 4 Postscript figure

Protein-Peptide Turnover Profiling reveals the order of PTM addition and removal during protein maturation

Post-translational modifications (PTMs) regulate various aspects of protein function, including degradation. Mass spectrometric methods relying on pulsed metabolic labeling are popular to quantify turnover rates on a proteome-wide scale. Such data have traditionally been interpreted in the context of protein proteolytic stability. Here, we combine theoretical kinetic modeling with experimental pulsed stable isotope labeling of amino acids in cell culture (pSILAC) for the study of protein phosphorylation. We demonstrate that metabolic labeling combined with PTM-specific enrichment does not measure effects of PTMs on protein stability. Rather, it reveals the relative order of PTM addition and removal along a protein's lifetime-a fundamentally different metric. This is due to interconversion of the measured proteoform species. Using this framework, we identify temporal phosphorylation sites on cell cycle-specific factors and protein complex assembly intermediates. Our results thus allow tying PTMs to the age of the modified proteins

Unrestricted symmetry-projected Hartree-Fock-Bogoliubov calculations for SD-shell nuclei

The solution of the Hartree–Fock–Bogoliubov problem with restoration of the broken symmetries before the variation has been generalized for the use of totally unrestricted quasi–particle determinants. With this method doubly–even, doubly–odd and odd nuclei can be treated on the same footing. Comparison with the results of complete shell–model diagonalizations shows that already one–determinant representations yield a very good approximation to the exact solutions even in the middle of the 1s0d shell. The problem is especially suited for numerical implementation on parallel computers. First tests show a linear dependence of the inverse CPU time with the number of processors used

Unrestricted symmetry-projected Hartree-Fock-Bogoliubov calculations for some PF-shell nuclei

Total binding energies and yrast energy spectra of three selected 1p0f–nuclei have been calculated using an unrestricted Hartree–Fock–Bogoliubov approach with symmetry–pro jec ti on before the variation. The full 1p0f–shell has been used as single–particle basis and the semi–empirical FPD6 interaction as effective Hamiltonian. The results are compared to those of truncated shell–model calculations performed with the OXBASH code. In the middle of the 1p0f–shell the variational method yields energy gains up to 4.5 MeV and thus proves to be far superior than the conventional truncation methods at least if in the latter only up to about 13000 configurations for each spin–isospin combination are admitted

Nurse leaders’ and digital service developers’ perceptions of the future role of artificial intelligence in specialized medical care:an interview study

Abstract Aim: To describe nurse leaders’ and digital service developers’ perceptions of the future role of artificial intelligence (AI) in specialized medical care. Background: Use of AI has rapidly increased in health care. However, nurse leaders’ and developers’ perceptions of AI and its future in specialized medical care remain under-researched. Method: Descriptive qualitative methodology was applied. Data were collected through six focus groups, and interviews with nurse leaders (n = 20) and digital service developers (n = 10) conducted remotely in 2021 at a university hospital in Finland. The data were subjected to inductive content analysis. Results: The data yielded 25 sub-categories, 10 categories and three main categories of participants’ perceptions. The main categories were designated AI transforming: work, care and services and organizations. Conclusions: According to our respondents, AI will have a significant future role in specialized medical care, but it will likely reinforce, rather than replace, clinicians or traditional care. They also believe that it may have several positive consequences for clinicians’ and leaders’ work as well as for organizations and patients. Implications for nursing management: Nurse leaders should be familiar with the potential of AI, but also aware of risks. Such leaders may provide betters support for development of AI-based health services that improve clinicians’ workflows

Hospital nurse leaders’ experiences with digital technologies:a qualitative descriptive study

Abstract Aim: To describe hospital nurse leaders’ experiences with digital technologies. Design: A qualitative descriptive study. Methods: Semi-structured focus group interviews in one university-affiliated hospital in Finland. Data were collected from October to November 2021 and analysed using content analysis an e-leadership framework. Results: A total of 20 frontline nurse leaders and middle-managers participated. Leaders had different kinds of experiences that concerned their traits, cognition, affect and behaviour with digital technologies. Leaders experienced that they needed to be open-minded towards digitalization, which sometimes eased their work by making it more efficient. Occasionally, they also got frustrated with digitalization, which caused them stress. Leading digital technologies required collaboration with several different stakeholders, and leaders were especially responsible for ensuring nurses’ digital competence. Also, leaders own digital capability was highlighted, although some leaders experienced that their digital capability was low. Conclusion: The e-leadership framework is useful for describing the conduct of leadership roles in the context of digital services. Digitalization has transformed leadership, yet nurse leaders’ education and training do not seem to have been sufficiently modified to these rapid changes. In addition, more attention should be given to how nurse leaders can be distressed by digitalization. Impact: This study provides insight into leadership in the context of digitalized specialized medical care based on nurse leaders’ direct statements. Furthermore, the results highlight nurse leaders’ educational needs concerning digitalization. Adequately educating nurse leaders to become e-leaders is crucial to successful digitalization in the nursing domain. Patient or public contribution: The study focused on nurse leaders’ experiences

Glycolytic flux-signaling controls mouse embryo mesoderm development

How cellular metabolic state impacts cellular programs is a fundamental, unresolved question. Here we investigated how glycolytic flux impacts embryonic development, using presomitic mesoderm (PSM) patterning as the experimental model. First, we identified fructose 1,6-bisphosphate (FBP) as an in vivo sentinel metabolite that mirrors glycolytic flux within PSM cells of post-implantation mouse embryos. We found that medium-supplementation with FBP, but not with other glycolytic metabolites, such as fructose 6-phosphate and 3-phosphoglycerate, impaired mesoderm segmentation. To genetically manipulate glycolytic flux and FBP levels, we generated a mouse model enabling the conditional overexpression of dominant active, cytoplasmic PFKFB3 (cytoPFKFB3). Overexpression of cytoPFKFB3 indeed led to increased glycolytic flux/FBP levels and caused an impairment of mesoderm segmentation, paralleled by the downregulation of Wnt-signaling, reminiscent of the effects seen upon FBP-supplementation. To probe for mechanisms underlying glycolytic flux-signaling, we performed subcellular proteome analysis and revealed that cytoPFKFB3 overexpression altered subcellular localization of certain proteins, including glycolytic enzymes, in PSM cells. Specifically, we revealed that FBP supplementation caused depletion of Pfkl and Aldoa from the nuclear-soluble fraction. Combined, we propose that FBP functions as a flux-signaling metabolite connecting glycolysis and PSM patterning, potentially through modulating subcellular protein localization

Linné : an object oriented language with parallelism

Godkänd; 1990; 20080410 (ysko)</p