Integrated health and care systems in England : can they help prevent disease?

Objectives: Over the past 12 months, there has been increasing policy rhetoric regarding the role of the NHS in preventing disease and improving population health. In particular, the NHS Long Term Plan sees integrated care systems (ICSs) and sustainability and transformation partnerships (STPs) as routes to improving disease prevention. Here, we place current NHS England integrated care plans in their historical context and review evidence on the relationship between integrated care and prevention. We ask how the NHS Long Term Plan may help prevent disease and explore the role of the 2019 ICS and STP plans in delivering this change. Methods: We reviewed the evidence underlying the relationship between integrated care and disease prevention, and analysed 2016 STP plans for content relating to disease prevention and population health. Results: The evidence of more integrated care leading to better disease prevention is weak. Although nearly all 2016 STP plans included a prevention or population health strategy, fewer than half specified how they will work with local government public health teams, and there was incomplete coverage across plans about how they would meet NHS England prevention priorities. Plans broadly focused on individual-level approaches to disease prevention, with few describing interventions addressing social determinants of health. Conclusions: For ICSs and STPs to meaningfully prevent disease and improve population health, they need to look beyond their 2016 plans and fill the gaps in the Long Term Plan on social determinants

A generalization of the van-der-Pol oscillator underlies active signal amplification in Drosophila hearing

The antennal hearing organs of the fruit fly Drosophila melanogaster boost their sensitivity by an active mechanical process that, analogous to the cochlear amplifier of vertebrates, resides in the motility of mechanosensory cells. This process nonlinearly improves the sensitivity of hearing and occasionally gives rise to self-sustained oscillations in the absence of sound. Time series analysis of self-sustained oscillations now unveils that the underlying dynamical system is well described by a generalization of the van-der-Pol oscillator. From the dynamic equations, the underlying amplification dynamics can explicitly be derived. According to the model, oscillations emerge from a combination of negative damping, which reflects active amplification, and a nonlinear restoring force that dictates the amplitude of the oscillations. Hence, active amplification in fly hearing seems to rely on the negative damping mechanism initially proposed for the cochlear amplifier of vertebrate

Self-consistent Calculation of Real Space Renormalization Group Flows and Effective Potentials

We show how to compute real space renormalization group flows in lattice field theory by a self-consistent method. In each step, the integration over the fluctuation field (high frequency components of the field) is performed by a saddle point method. The saddle point depends on the block-spin. Higher powers of derivatives of the field are neglected in the actions, but no polynomial approximation in the field is made. The flow preserves a simple parameterization of the action. In this paper we treat scalar field theories as an example.Comment: 52 pages, uses pstricks macro, three ps-figure

"FAIR-by-Design" Artifacts: Enriching Publications and Software with FAIR Scientific Information at the Time of Creation

Presentation on the idea of "FAIR-by-Design" Artifacts at the NFDI4Ing Conference 2023. Abstract In several research disciplines, the use and development of software have become an integral part, with researchers reporting in publications the results obtained with software and concepts implemented in software. Consequently, publications and software have become two core artifacts in academia with increasing importance for measuring research impact and reputation. The research community has made great efforts to improve digital access to publications and software. However, even now that these artifacts are available in digital form, researchers still encapsulate the scientific information in static and relatively unstructured documents unsuitable for communication. The next step in the digital transformation of scholarly communication requires a more flexible, fine-grained, context-sensitive, and semantic representation of scientific information to be understandable, processable, and usable by humans and machines. Researchers need support in the form of infrastructures, services, and tools to organize FAIR scientific information from publications and software. Several research disciplines work on initiatives to organize scientific information, e.g., machine learning with “Papers-with-Code”, invasion biology with “Hi-Knowledge”, and biodiversity with “OpenBiodiv”. However, these initiatives are often technically diverse and limited to the respective application domain. For this reason, we from the task area Ellen of NFDI4Ing (and in collaboration with NFDI4DataScience and NFDI4Energy) decided to use the Open Research Knowledge Graph (ORKG), an innovative infrastructure for organizing scientific information from publications and software. The ORKG is a cross-discipline research knowledge graph that offers all research communities an easy-to-use and sustainably governed infrastructure. This infrastructure implements best practices, such as FAIR principles and versioning, with services combining manual crowd-sourcing and (semi-)automated approaches to support researchers in producing, curating, processing, and (re-)using FAIR scientific information from publications and software. As a result, organized scientific information is openly available in the long term and can be understood, processed, and used by humans and machines. Thus, research communities can constantly build, publish, maintain, (re-)use, update, and expand organized scientific information in a long-term and collaborative manner. While the ORKG currently focuses on organizing scientific information from published publications and software, we aim to help researchers create “FAIR-by-Design” artifacts to improve their storage, access, and (re-)use, using the ORKG as exemplary infrastructure. The idea of “FAIR-by-Design” artifacts is that the creators of an artifact describe it with extensive and FAIR information once and in parallel to the time of creation. This FAIR information is embedded directly into the artifact to be available to anyone at any time. Specifically, we developed two tools (SciKGTeX for publications and DataDesc for software) that support researchers in the role of author and developer to enrich their publications and software at the time of writing and development with FAIR scientific information embedded into the respective artifact. SciKGTeX is a LaTeX package to annotate research contributions directly in LaTeX source code. Authors can enrich their publications with structured, machine-actionable, and FAIR scientific information about their research contributions. SciKGTeX embeds the annotated contribution data into the PDF’s XMP metadata so that the FAIR scientific information persists for the lifetime of the artifact. DataDesc is a toolkit that combines different tools to describe software with machine-actionable metadata. Developers can describe Python software and its interfaces with extensive metadata by annotating individual classes and functions directly within the source code. DataDesc converts all metadata into an OpenAPI-compliant YAML file, which various tools can render and process. Regarding the research data management (RDM) lifecycle, both tools target the production phase to support researchers in creating“FAIR-by-Design” artifacts. Creating “FAIR-by-Design” artifacts helps to improve their storage, leading to better access to artifacts and thus laying the foundation for their effective (re-)use. Using the ORKG as exemplary infrastructure, we demonstrate with two proof-of-concepts how infrastructure providers can use the artifacts from SciKGTeX and DataDesc to store the FAIR scientific information in their systems. In the case of SciKGTeX, the ORKG recently added a new upload feature for SciKGTeX annotated PDFs to allow researchers to add the FAIR scientific information of publications quickly and easily. In addition, the ing.grid journal provides a version of their LaTeX template that integrates the SciKGTeX. For DataDesc, we plan such an upload feature and similar use by the community in future work. Researchers only need to create a “FAIR-by-Design” artifact once, and can reuse it on multiple infrastructures to improve their dissemination and discoverability. With improved storage, researchers can more easily discover and access publications and software to determine whether an artifact fulfills their information needs. However, researchers do not have to rely on such infrastructures to find, access, and assess publications or software. When they encounter a “FAIR-by-Design” artifact, it embeds the additional information itself so that they can review the artifact themselves with the same information base. Improved discoverability and accessibility lay the foundation for effective (re-)use as researchers can better understand an artifact. In the case of the ORKG, we can even (re-)use the information from SciKGTeX and DataDesc stored in the ORKG interchangeably. A publication annotated with SciKGTeX can reference a software annotated with DataDesc stored in the ORKG and vice versa. Overall, enabling researchers to create “FAIR-by-Design” artifacts is a promising approach to support the downstream phases of storage, access, and (re-)use in the RDM lifecycle. In our presentation, we want to explain the idea of “FAIR-by-Design” artifacts in more detail using concrete examples based on the two tools and in combination with the ORKG. We believe that the idea of “FAIR-by-Design” artifacts is of interest to the research community. The two tools can inspire other researchers to extend our original approaches and develop new ones to create more “FAIR-by-Design” artifacts by enriching artifacts with FAIR scientific knowledge at the time of creation. Furthermore, we hope to encourage and motivate researchers to use our tools more intensively and thus establish them. In particular, the existing and planned future integration with ORKG and the existing collaboration with the ing.grid journal are motivating incentives for researchers to use SciKGTeX and DataDesc actively.The authors thank the Federal Government, the Heads of Government of the Länder, as well as the Joint Science Conference (GWK), for their funding and support within the NFDI4Ing and NFDI4DataScience consortia. This work was funded by the German Research Foundation (DFG) -project numbers 442146713 and 460234259, by the European Research Council for the project ScienceGRAPH (Grant agreement ID: 819536), and by the TIB - Leibniz Information Centre for Science and Technology

Two Phases for Compact U(1) Pure Gauge Theory in Three Dimensions

We show that if actions more general than the usual simple plaquette action ($\sim F_{\mu\nu}^2$) are considered, then compact $U(1)$ {\sl pure} gauge theory in three Euclidean dimensions can have two phases. Both phases are confining phases, however in one phase the monopole condensate spontaneously `magnetizes'. For a certain range of parameters the phase transition is continuous, allowing the definition of a strong coupling continuum limit. We note that these observations have relevance to the `fictitious' gauge field theories of strongly correlated electron systems, such as those describing high-$T_c$ superconductors.Comment: 10 pages, Plain TeX, uses harvma

A lattice study of 3D compact QED at finite temperature

We study the deconfinement phase transition and monopole properties in the finite temperature 3D compact Abelian gauge model on the lattice. We predict the critical coupling as function of the lattice size in a simplified model to describe monopole binding. We demonstrate numerically that the monopoles are sensitive to the transition. In the deconfinement phase the monopoles appear in the form of a dilute gas of magnetic dipoles. In the confinement phase both monopole density and string tension differ from semiclassical estimates if monopole binding is neglected. However, the analysis of the monopole clusters shows that the relation between the string tension and the density of monopoles in charged clusters is in reasonable agreement with those predictions. We study the cluster structure of the vacuum in both phases of the model.Comment: 18 pages, 14 EPS figures, LaTeX uses epsfig.st

Drosophila TRPN( = NOMPC) Channel Localizes to the Distal End of Mechanosensory Cilia

BACKGROUND: A TRPN channel protein is essential for sensory transduction in insect mechanosensory neurons and in vertebrate hair cells. The Drosophila TRPN homolog, NOMPC, is required to generate mechanoreceptor potentials and currents in tactile bristles. NOMPC is also required, together with a TRPV channel, for transduction by chordotonal neurons of the fly's antennal ear, but the TRPN or TRPV channels have distinct roles in transduction and in regulating active antennal mechanics. The evidence suggests that NOMPC is a primary mechanotransducer channel, but its subcellular location-key for understanding its exact role in transduction-has not yet been established. METHODOLOGY/PRINCIPAL FINDINGS: Here, by immunostaining, we locate NOMPC at the tips of mechanosensory cilia in both external and chordotonal sensory neurons, as predicted for a mechanotransducer channel. In chordotonal neurons, the TRPN and TRPV channels are respectively segregated into distal and proximal ciliary zones. This zonal separation is demarcated by and requires the ciliary dilation, an intraciliary assembly of intraflagellar transport (IFT) proteins. CONCLUSIONS: Our results provide a strong evidence for NOMPC as a primary transduction channel in Drosophila mechansensory organs. The data also reveals a structural basis for the model of auditory chordotonal transduction in which the TRPN and TRPV channels play sequential roles in generating and amplifying the receptor potential, but have opposing roles in regulating active ciliary motility

Effective Field Theories

Effective field theories encode the predictions of a quantum field theory at low energy. The effective theory has a fairly low ultraviolet cutoff. As a result, loop corrections are small, at least if the effective action contains a term which is quadratic in the fields, and physical predictions can be read straight from the effective Lagrangean. Methods will be discussed how to compute an effective low energy action from a given fundamental action, either analytically or numerically, or by a combination of both methods. Basically,the idea is to integrate out the high frequency components of fields. This requires the choice of a "blockspin",i.e. the specification of a low frequency field as a function of the fundamental fields. These blockspins will be the fields of the effective field theory. The blockspin need not be a field of the same type as one of the fundamental fields, and it may be composite. Special features of blockspins in nonabelian gauge theories will be discussed in some detail. In analytical work and in multigrid updating schemes one needs interpolation kernels \A from coarse to fine grid in addition to the averaging kernels $C$ which determines the blockspin. A neural net strategy for finding optimal kernels is presented. Numerical methods are applicable to obtain actions of effective theories on lattices of finite volume. The constraint effective potential) is of particular interest. In a Higgs model it yields the free energy, considered as a function of a gauge covariant magnetization. Its shape determines the phase structure of the theory. Its loop expansion with and without gauge fields can be used to determine finite size corrections to numerical data.Comment: 45 pages, 9 figs., preprint DESY 92-070 (figs. 3-9 added in ps format

Monopoles, confinement and deconfinement of (2+1)D compact lattice QED in external fields

The compact Abelian model in three space--time dimensions is studied in the presence of external electromagnetic fields at finite temperatures. We show that the deconfinement phase transition is independent on the strength of the external fields. This result is in agreement with our observation that the external fields create small--size magnetic dipoles from the vacuum which do not influence the confining properties of the model. Contrary to the deconfinement phase, the internal field in the direction of the applied external field is attenuated in the confinement phase, this screening becomes stronger with decreasing temperature.Comment: 22 pages, 24 EPS figures, LaTeX uses epsfig.st