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Abstract Background Home-based healthcare services are facing challenges and pressures of increasing needs due to an ageing population, rising workload for an overburdened workforce, and limited financial resources. The trust model is an approach to address the challenges, by organizing the home-based healthcare services into smaller, autonomous interdisciplinary teams. The aim is to involve users and next of kin in decision-making and trusting frontline workers’ professional judgement, thus making the services more flexible and individually tailored. This study explores frontline workers’ practices and experiences of working within interdisciplinary teams according to the trust model’s goals. Methods Observations, individual-, and focus groups interviews were conducted within home-based healthcare service in a Norwegian municipality. The participants were leaders and frontline workers at different levels of the home-based healthcare services, including registered nurses, auxiliary nurses, occupational therapists, physiotherapists, and other unskilled healthcare personnel. Data was analysed thematically. Results The results are presented in terms of themes: ‘We all want the best for service users’, ‘Belonging to an interdisciplinary team’ and ‘Maintaining belonging to those with similar work tasks and responsibilities’. The results show a diversity among the participants’ experiences of working within interdisciplinary teams. It demonstrates a dilemma between creating belonging to and forming identities within the interdisciplinary team, and at the same time, the importance of maintaining belonging and identity with those in the same profession or with the same tasks and responsibilities. Conclusion This study suggests that the frontline workers need for dual belonging seems to be underestimated within the trust model, and by acknowledging this, organisations and policymakers can create environments that support both. Which in turn can enhance the possibility to deliver flexible and individually tailored services for service users.

Abstract Background Demographic changes, such as an increase in older adults, present a challenge to the healthcare service’s current capacity. Moreover, the need for healthcare personnel is rising, while the availability of labour is dwindling, leading to a potential workforce shortage. To address some of these challenges, enhanced collaboration between home-based healthcare frontline workers, service users, and next of kin is a necessity. The trust model is an organisational model where home-based healthcare services are organised into smaller interdisciplinary teams aiming to tailor the services in collaboration with service-users and their next of kin’. This study explores how the next of kin and frontline workers perceive and perform involvement in making decisions regarding tailoring the services for the users of home-based healthcare services organised after the trust model. Methods Four in-depth interviews and 32 observations were conducted, and thematic analysis was employed to identify meaningful patterns across the datasets. Results The results are presented as two themes: (i) unspoken expectations and (ii) situational participation. The results highlight the complex nature of next-of-kin involvement and shared decision making, raising questions about meeting expectations, evaluating available resources, and developing sustainable involvement processes. Conclusion This study indicates that despite of an interdisciplinary organisational model aiming for shared decision making as the trust model, the involvement of next of kin continues to be a challenge for frontline workers in home-based healthcare services. It also points to the importance of transparent communication and how it is deemed essential for clarifying implicit expectations.

Abstract This work demonstrates a method to design photonic surfaces by combining femtosecond laser processing with the inverse design capabilities of tandem neural networks that directly link laser fabrication parameters to their resulting textured substrate optical properties. High throughput fabrication and characterization platforms are developed that generate a dataset comprising 35280 unique microtextured surfaces on stainless steel with corresponding measured spectral emissivities. The trained model utilizes the nonlinear one‐to‐many mapping between spectral emissivity and laser parameters. Consequently, it generates predominantly novel designs, which reproduce the full range of spectral emissivities (average root‐mean‐squared‐error < 2.5%) using only a compact region of laser parameter space 25 times smaller than what is represented in the training data. Finally, the inverse design model is experimentally validated on a thermophotovoltaic emitter design application. By synergizing laser‐matter interactions with neural network capabilities, the approach offers insights into accelerating the discovery of photonic surfaces, advancing energy harvesting technologies.

Abstract Background Communication between patients and healthcare providers, and effective interprofessional communication, are essential to the provision of high-quality care. Implementing a patient-centred approach may lead to patients experiencing a sense of comfort, validation, and active participation in own healthcare. However, home-dwelling older adults’ perspectives on interprofessional communication (IPC) are lacking. The aim is therefore to explore how home-dwelling older adults experience communication in connection with the delivery of integrated care. Methods The meta-synthesis was conducted in line with Noblit and Hare’s seven phases of meta-ethnography. A systematic literature search was conducted by two university librarians in seven databases using the search terms ‘older adults’, ‘communication’, ‘integrated care’ and ‘primary care’. All articles were reviewed by two authors independently. 11 studies were included for analysis. Results Older adults are aware of IPC and have preferences regarding how it is conducted. Three main themes were identified in the reciprocal analysis: (1) Inconsistent care perceived as lack of IPC, (2) individual preferences regarding involvement and awareness of IPC and (3) lack of IPC may trigger negative feelings. Conclusions This meta-ethnography shows the perspective of older adults on IPC as part of integrated care. Our study shows that older adults are concerned about whether healthcare personnel talk to each other or not and recognise IPC as fundamental in providing consistent care. The perspectives of older adults are relevant for clinicians and politicians, as well as researchers, when developing and implementing future integrated care services for home-dwelling older adults.

In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum computation, where a large collection of real-world problem instances would allow for benchmarking studies that in turn help to improve both algorithms and hardware designs. To this end, here we present a large dataset of qubit-based quantum Hamiltonians. The dataset, called HamLib (for Hamiltonian Library), is freely available online and contains problem sizes ranging from 2 to 1000 qubits. HamLib includes problem instances of the Heisenberg model, Fermi-Hubbard model, Bose-Hubbard model, molecular electronic structure, molecular vibrational structure, MaxCut, Max-$k$-SAT, Max-$k$-Cut, QMaxCut, and the traveling salesperson problem. The goals of this effort are (a) to save researchers time by eliminating the need to prepare problem instances and map them to qubit representations, (b) to allow for more thorough tests of new algorithms and hardware, and (c) to allow for reproducibility and standardization across research studies.

Randi Stokke,1 Torunn Wibe,2 Maren Sogstad1 1Faculty of Medicine and Health Sciences, Centre for Care Research, Norwegian University of Science and Technology NTNU, Gjøvik, Norway; 2Centre for Development of Institutional and Home Care Services in Oslo, Oslo, NorwayCorrespondence: Randi Stokke, Tel +4795158088, Email Randi.stokke@ntnu.noBackground: Residents of nursing homes are increasingly frail and dependent. At the same time, there are increased demands for quality of care and social life for individual residents. In this article, we explore how care workers contribute to quality of care and social life in shared living rooms in nursing homes.Methods: An ethnographically inspired design was applied, and a purposive sample of six units for long-term care in three nursing homes in Norway was included in the study. Data were collected by participant observation, including informal conversations with the staff and residents, and the data were analyzed using thematic analysis.Results: The analysis identified three main themes: working within the given context, creating care practices and organizing activities. The empirical findings demonstrate that care work focuses on meeting both the residents’ physical and social needs and aiming for high-quality care and social life for the residents in nursing homes.Conclusion: The results of this study illustrate that nursing home practices are focused on residents as a group. However, care workers take advantage of personal skills and resources to work towards person-centred care within the given context. The quality of care is recognized in terms of how care workers meet individual residents’ needs. The quality of care seems highly related to the capability and skills of individual care workers.Keywords: nursing home, quality of care, person-centred care, social needs, activity, qualitative study, participant observation

Abstract Recent temperature extremes have shattered previously observed records, reaching intensities that were inconceivable before the events. Could the possibility of an event with such unprecedented intensity as the 2021 Pacific Northwest heatwave have been foreseen, based on climate model information available before the event? Could the scientific community have quantified its potential intensity based on the current generation of climate models? Here, we demonstrate how an ensemble boosting approach can be used to generate physically plausible storylines of a heatwave hotter than observed in the Pacific Northwest. We also show that heatwaves of much greater intensities than ever observed are possible in other locations like the Greater Chicago and Paris regions. In order to establish confidence in storylines of ‘black swan’-type events, different lines of evidence need to be combined along with process understanding to make this information robust and actionable for stakeholders.

Abstract Metabolomics has a long history of using cosine similarity to match experimental tandem mass spectra to databases for compound identification. Here we introduce the Blur-and-Link (BLINK) approach for scoring cosine similarity. By bypassing fragment alignment and simultaneously scoring all pairs of spectra using sparse matrix operations, BLINK is over 3000 times faster than MatchMS, a widely used loop-based alignment and scoring implementation. Using a similarity cutoff of 0.7, BLINK and MatchMS had practically equivalent identification agreement, and greater than 99% of their scores and matching ion counts were identical. This performance improvement can enable calculations to be performed that would typically be limited by time and available computational resources.

Abstract Background Achieving access to quality healthcare services to ensure healthy lives and promote well-being for all at all ages is one of the United Nation’s Sustainable Developments Goals. In view of this goal, sustainable community healthcare services in Norway need to be urgently restructured in light of demographic changes, including an increase in the percentage of older adults in the country. National healthcare policies recommend finding new ways to organise and perform services using new technology, new methods and new solutions. The goal is to ensure greater continuity in the provision of services and softer transitions that enable service users to deal with a smaller number of people. The trust model is one such suggested organisational approach. The goal of the trust model is to involve service users and their next of kin in decisions that concern them while also trusting frontline workers’ professional judgement in assessing the need for services and adjusting them to address changes in the health of the users, thus making the services individually tailored and more flexible. This study aims to explore how organisational work structures influence the delivery of interdisciplinary home-based healthcare services. Methods Observations, individual-, and focus groups interviews were conducted within community home-based healthcare services in a large Norwegian city with managers at different levels, nurses, occupational therapists, physiotherapists, purchaser-unit employees and other healthcare workers. Data was analysed thematically. Results The results are presented in terms of themes— “Balancing on the margins: Negotiations between the time available, users’ needs, unforeseen events and administrative tasks” and “One gathered unit, but with different work structures”. The results identify organisational work structures that influence the performance of the trust model with regard to its intention of making flexible and individually tailored services available. However, these structures are different for the members of the interdisciplinary team, thus creating several paradoxes that need to be negotiated while fulfilling their daily responsibilities. Conclusion This study suggests that it is crucial to pay attention to paradoxes and structures experienced by interdisciplinary frontline workers in home-based healthcare services, since they are unavoidable factors that need to be acknowledged when designing approaches for addressing the changes expected in community healthcare services.

Bakgrunn: Mobil intensivsykepleier (MIS) er et relativt nytt tilbud på norske sykehus, inspirert av ulike typer rapid response systems (RRS) som er etablert i flere land. Det finnes forskning fra andre land som har sett på ulike MIS-lignende sammensetninger av RRS, men det er gjort få studier i norsk kontekst på hvilke erfaringer sykepleiere på sengepost har med bruk av MIS. Forskning på dette kan være nyttig både for sengeposter og intensivavdelinger med tanke på eventuell videre utvikling av tjenesten på sykehus i Norge. Hensikt: Undersøke og beskrive sykepleieres erfaringer med bruk av MIS på sengepost og hvordan de opplever samhandlingen mellom MIS og sykepleier. Metode: Eksplorativt design med bruk av kvalitativ metode. Sykepleiere fra fire sengeposter på et mellomstort sykehus i Norge ble rekruttert til studien vinteren 2021/2022. Ti sykepleiere som hadde erfaring med bruk av MIS ble inkludert og deltok i til sammen tre fokusgruppeintervju. Datamaterialet ble analysert ved bruk av tematisk analyse inspirert av Braun og Clarke. Resultater: Fire hovedtema ble identifisert: «MIS som et lavterskeltilbud»; «Sykepleiere erfarte forskjellige roller i samhandling med MIS»; «MIS bruker sin kompetanse på en måte som oppleves støttende»; «MIS bygger tillit ved å følge opp pasientsituasjoner». Konklusjon: MIS bidrar med kompetanse og støtte til sykepleiere på sengepost, samt oppfølging i etterkant av tilsyn. Uklare kriterier for bruk av MIS og uklar rolleforståelse mellom MIS og sykepleier kan påvirke tjenesten negativt. Det bør forskes mer på ulike sammensetninger av RRS for å finne ut hvilke som er best egnet på norske sykehus. ENGLISH ABSTRACT Background: Mobile Intensive Care Nurse (MICN) is a relatively new service in Norwegian hospitals, inspired by different Rapid Response Systems (RRS) that are established in multiple countries. Former research has studied different RRS-teams comparable with MICN, but there are few studies reported from a Norwegian context concerning staff nurses’ experiences with the use of MICN. Research on this could be of interest for the further development of the service in Norway. Aim: To explore and describe staff nurses’ experiences with the use of MICN and how they experience collaboration with the MICN. Methods: Explorative design with use of qualitative method. Staff nurses from four different wards at a midsize hospital in Norway, were recruited for the study during the winter of 2021/2022. Ten staff nurses with experience with the use of MICN were included, and participated in three focus groups. Thematic analysis, inspired by Braun and Clarke, was used to analyze the data. Results: Four main themes were identified: “MICN as a low-threshold service;” “Nurses experienced different roles in the interaction with MICN;” “MICN use their expertise in a way that is perceived as supportive;” “MICN appears trustworthy by offering patient follow- ps.” Conclusion: MICN contributes with special expertise and support to staff nurses as well as patient follow-ups. Undefined criteria for the use of MICN and unclear role understanding between MICN and staff nurses can affect the interaction negatively. Further research should study the use of different constellations of RRS in order to find the best suitable for Norwegian hospitals.

Abstract Objectives To reduce recurrence after radical cystectomy (RC), we developed a technique based on the principles of the circumferential resection margin used during total mesorectal excision for rectal cancer, namely, en bloc radical cystectomy (EbRC). Patients and methods The study included all patients in Mid‐Norway (population of 739 k) with high‐grade superficial or muscle invasive bladder cancer considered for radical treatment according to European guidelines, from January 2012 to August 2021, except for three patients receiving trimodal therapy. One hundred forty‐five patients were treated with EbRC and 188 patients with standard RC (stdRC). There were no exclusion criteria. Both groups included open and robot‐assisted techniques. EbRC entails cystectomy with extended pelvic lymph node dissection. The technique focuses on systematic uninterrupted mobilisation of all lymphatic tissue from the circumferential resection margin towards the bladder pedicles, and resecting the tissue en bloc with the bladder. Results The 3‐year recurrence‐free survival (RFS) was 86% for EbRC versus 67% for stdRC. The hazard ratio for overall survival in multivariable cox regression analyses after EbRC versus stdRC was 0.30 (95% CI 0.16–0.57, p ≤ 0.001). The improved outcomes persisted in propensity score‐matched analyses. There were no differences in Clavien–Dindo 3 and 4 complications (12.4% vs. 11.7%), nor 90‐day mortality (2.1% vs. 1.6%). Conclusion Improved oncological results with EbRC versus stdRC mirror the historical data after total mesorectal excision was initiated over 35 years ago in rectal cancer surgery. EbRC is safe and the preliminary oncological results are promising.

Abstract Thermal properties of nanomaterials are crucial to not only improving our fundamental understanding of condensed matter systems, but also to developing novel materials for applications spanning research and industry. Since quantum effects arise at the nano-scale, these systems are difficult to simulate on classical computers. Quantum computers can efficiently simulate quantum many-body systems, yet current quantum algorithms for calculating thermal properties of these systems incur significant computational costs in that they either prepare the full thermal state on the quantum computer, or they must sample a number of pure states from a distribution that grows with system size. Canonical thermal pure quantum (TPQ) states provide a promising path to estimating thermal properties of quantum materials as they neither require preparation of the full thermal state nor require a growing number of samples with system size. Here, we present an algorithm for preparing canonical TPQ states on quantum computers. We compare three different circuit implementations for the algorithm and demonstrate their capabilities in estimating thermal properties of quantum materials. Due to its increasing accuracy with system size and flexibility in implementation, we anticipate that this method will enable finite temperature explorations of relevant quantum materials on near-term quantum computers.

Emerging quantum hardware provides new possibilities for quantum simulation. While much of the research has focused on simulating closed quantum systems, the real-world quantum systems are mostly open. Therefore, it is essential to develop quantum algorithms that can effectively simulate open quantum systems. Here we present an adaptive variational quantum algorithm for simulating open quantum system dynamics described by the Lindblad equation. The algorithm is designed to build resource-efficient ansatze through the dynamical addition of operators by maintaining the simulation accuracy. We validate the effectiveness of our algorithm on both noiseless simulators and IBM quantum processors and observe good quantitative and qualitative agreement with the exact solution. We also investigate the scaling of the required resources with system size and accuracy and find polynomial behavior. Our results demonstrate that near-future quantum processors are capable of simulating open quantum systems.

Quantum computers hold the potential to unlock new discoveries in complex quantum systems by enabling the simulation of physical systems that have heretofore been impossible to implement on classical computers due to intractability. A system of particular interest is that of dirty bosons, whose physics highlights the intriguing interplay of disorder and interactions in quantum systems, playing a central role in describing, for instance, ultracold gases in a random potential, doped quantum magnets, and amorphous superconductors. Here, we demonstrate how quantum computers can be used to elucidate the physics of dirty bosons in one and two dimensions. Specifically, we explore the disorder-induced delocalized-to-localized transition using adiabatic state preparation. In one dimension, the quantum circuits can be compressed to small enough depths for execution on currently available quantum computers. In two dimensions, the compression scheme is no longer applicable, thereby requiring the use of large-scale classical state vector simulations to emulate quantum computer performance. In addition, simulating interacting bosons via emulation of a noisy quantum computer allowed us to study the effect of quantum hardware noise on the physical properties of the simulated system. Our results suggest that scaling laws control how noise modifies observables versus its strength, the circuit depth, and the number of qubits. Moreover, we observe that noise impacts the delocalized and localized phases differently. A better understanding of how noise alters the observed properties of the simulated system is essential for leveraging near-term quantum devices for simulation of dirty bosons, and indeed for condensed matter systems in general.

Colorectal cancer (CRC) is one of the most common cancer types worldwide. Chemotherapy is toxic to normal cells, and combinatory treatment with natural well-tolerated products is being explored. Some omega-3 polyunsaturated fatty acids (n-3 PUFAs) and marine fish oils have anti-cancer effects on CRC cells. The salmon oil OmeGo (Hofseth BioCare) contains a spectrum of fatty acids, including the n-3 PUFAs docosahexaenoic acid (DHA) and eicosahexaenoic acid (EPA). We explored a potential anti-cancer effect of OmeGo on the four CRC cell lines DLD-1, HCT-8, LS411N, and LS513, alone and in combination with the chemotherapeutic agent 5-Fluorouracil (5-FU). Screening indicated a time- and dose-dependent effect of OmeGo on the viability of the DLD-1 and LS513 CRC cell lines. Treatment with 5-FU and OmeGo (IC20–IC30) alone indicated a significant reduction in viability. A combinatory treatment with OmeGo and 5-FU resulted in a further reduction in viability in DLD-1 and LS513 cells. Treatment of CRC cells with DHA + EPA in a concentration corresponding to the content in OmeGo alone or combined with 5-FU significantly reduced viability of all four CRC cell lines tested. The lowest concentration of OmeGo reduced viability to a higher degree both alone and in combination with 5-FU compared to the corresponding concentrations of DHA + EPA in three of the cell lines. Results suggest that a combination of OmeGo and 5-FU could have a potential as an alternative anti-cancer therapy for patients with CRC.

The holographic principle and its realization in the AdS/CFT correspondence led to unexpected connections between general relativity and quantum information. This set the stage for studying aspects of quantum gravity models, which are otherwise difficult to access, in table-top quantum-computational experiments. Recent works have designed a special teleportation protocol that realizes a surprising communication phenomenon most naturally explained by the physics of a traversable wormhole. In this work, we have carried out quantum experiments based on this protocol on state-of-the-art quantum computers. The target quantum processing units (QPUs) included the Quantinuum's trapped-ion System Model H1-1 and five IBM superconducting QPUs of various architectures, with public and premium user access. We report the observed teleportation signals from these QPUs with the best one reaching 80% of theoretical predictions. We outline the experimental challenges we have faced in the course of implementation, as well as the new theoretical insights into quantum dynamics the work has led to. We also developed QGLab – an open-source end-to-end software solution that facilitates conducting the wormhole-inspired teleportation experiments on state-of-the-art and emergent generations of QPUs supported by the $Qiskit$ and $tket$ SDKs. We consider our study and deliverables as an early practical step towards the realization of more complex experiments for the indirect probing of quantum gravity in the lab.

Abstract Dynamic simulation of materials is a promising application for near-term quantum computers. Current algorithms for Hamiltonian simulation, however, produce circuits that grow in depth with increasing simulation time, limiting feasible simulations to short-time dynamics. Here, we present a method for generating circuits that are constant in depth with increasing simulation time for a specific subset of one-dimensional (1D) materials Hamiltonians, thereby enabling simulations out to arbitrarily long times. Furthermore, by removing the effective limit on the number of feasibly simulatable time-steps, the constant-depth circuits enable Trotter error to be made negligibly small by allowing simulations to be broken into arbitrarily many time-steps. For an N-spin system, the constant-depth circuit contains only O ( N 2 ) $\mathcal {O}(N^{2})$ CNOT gates. Such compact circuits enable us to successfully execute long-time dynamic simulation of ubiquitous models, such as the transverse field Ising and XY models, on current quantum hardware for systems of up to 5 qubits without the need for complex error mitigation techniques. Aside from enabling long-time dynamic simulations with minimal Trotter error for a specific subset of 1D Hamiltonians, our constant-depth circuits can advance materials simulations on quantum computers more broadly in a number of indirect ways.

Abstract A composable design scheme is presented for the development of hybrid quantum/classical algorithms and workflows for applications of quantum simulation. The proposed object‐oriented approach is based on constructing an expressive set of common data structures and methods that enables programming of a broad variety of complex hybrid quantum simulation applications. The abstract core of the scheme is distilled from the analysis of the current quantum simulation algorithms. Subsequently, it allows synthesis of new hybrid algorithms and workflows via the extension, specialisation, and dynamic customisation of the abstract core classes defined by the proposed design. The design scheme is implemented using the hardware‐agnostic programming language QCOR into the QuaSiMo library. To validate the implementation, the authors test and show its utility on commercial quantum processors from IBM and Rigetti, running some prototypical quantum simulations.

Quantum computers provide new avenues to access ground and excited state properties of systems otherwise difficult to simulate on classical hardware. New approaches using subspaces generated by real-time evolution have shown efficiency in extracting eigenstate information, but the full capabilities of such approaches are still not understood. In recent work, we developed the variational quantum phase estimation (VQPE) method, a compact and efficient real-time algorithm to extract eigenvalues on quantum hardware. Here we build on that work by theoretically and numerically exploring a generalized Krylov scheme where the Krylov subspace is constructed through a parametrized real-time evolution, which applies to the VQPE algorithm as well as others. We establish an error bound that justifies the fast convergence of our spectral approximation. We also derive how the overlap with high energy eigenstates becomes suppressed from real-time subspace diagonalization and we visualize the process that shows the signature phase cancellations at specific eigenenergies. We investigate various algorithm implementations and consider performance when stochasticity is added to the target Hamiltonian in the form of spectral statistics. To demonstrate the practicality of such real-time evolution, we discuss its application to fundamental problems in quantum computation such as electronic structure predictions for strongly correlated systems.

Abstract Background The Covid-19 pandemic introduced a global crisis for the healthcare systems. Research has paid particular attention to hospitals and intensive care units. However, nursing homes and home care services in charge of a highly vulnerable group of patients have also been forced to adapt and transform to ensure the safety of patients and staff; yet they have not received enough research attention. This paper aims to explore how leaders in nursing homes and home care services used innovative solutions to handle the Covid-19 pandemic to ensure resilient performance during times of disruption and major challenges. Methods A qualitative exploratory case study was used to understand the research question. The selected case was a large city municipality in Norway. This specific municipality was heavily affected by the Covid-19 pandemic; therefore, information from this municipality allowed us to gather rich information. Data were collected from documents, semi-structured interviews, and a survey. At the first interview phase, informants included 13 leaders, Head of nursing home (1 participant), Head of Sec. (4 participants), Quality manager (4 participants), Head of nursing home ward (3 participants), and a Professional development nurse (1 participant), at 13 different nursing homes and home care services. At the second phase, an online survey was distributed at 16 different nursing homes and home care services to expand our understanding of the phenomenon from other leaders within the case municipality. Twenty-two leaders responded to the survey. The full dataset was analysed in accordance with inductive thematic analysis methodology. Results The empirical results from the analysis provide a new understanding of how nursing homes and home care leaders used innovative solutions to maintain appropriate care for infected and non-infected patients at their sites. The results showed that innovative solutions could be separated into technology for communication and remote care, practice innovations, service innovations, and physical innovations. Conclusion This study offers a new understanding of the influence of crisis-driven innovation for resilience in healthcare during the Covid-19 pandemic. Nursing home and home care leaders implemented several innovative solutions to ensure resilient performance during the first 6–9 months of the pandemic. In terms of resilience, different innovative solutions can be divided based on their influence into situational, structural, and systemic resilience. A framework for bridging innovative solutions and their influence on resilience in healthcare is outlined in the paper.

Plain English summary User involvement is a topic that has received increasing attention in research aimed at ensuring relevant and needed knowledge. It can be practised in a variety of ways, and the literature claims that there is no gold standard for how it should be done. This paper presents a user involvement process conducted autumn 2019 to spring 2020, hereby referred to as needs-led research (NLR), inspired by the James Lind Alliance (JLA). The scope of the process is the ‘performance of the trust model in community home-based health care services’. The trust model is a new way of organising home-based health care services where small interdisciplinary teams work with the service users and their next of kin on tailoring the services based on the users’ answers to the question ‘What matters to you?’ Through a five-step process, in which representatives of service users, next of kin and clinicians participated in meetings and online surveys, the goal of the NLR process was to explore research priorities and, ultimately, to develop a final top 10 list of questions relevant to the field of research. This paper describes the NLR process and discusses its strengths and limitations. We found the process to be important when identifying relevant research questions concerning a topic on which little research has been conducted, and in which we as researchers have little experience. The final top 10 list is also presented.

With the growing reliance of modern supercomputers on accelerator-based architecture such a graphics processing units (GPUs), the development and optimization of electronic structure methods to exploit these massively parallel resources has become a recent priority. While significant strides have been made in the development GPU accelerated, distributed memory algorithms for many modern electronic structure methods, the primary focus of GPU development for Gaussian basis atomic orbital methods has been for shared memory systems with only a handful of examples pursing massive parallelism. In the present work, we present a set of distributed memory algorithms for the evaluation of the Coulomb and exact exchange matrices for hybrid Kohn–Sham DFT with Gaussian basis sets via direct density-fitted (DF-J-Engine) and seminumerical (sn-K) methods, respectively. The absolute performance and strong scalability of the developed methods are demonstrated on systems ranging from a few hundred to over one thousand atoms using up to 128 NVIDIA A100 GPUs on the Perlmutter supercomputer. [ABSTRACT FROM AUTHOR]

The many-body simulation of quantum systems is an active field of research that involves several different methods targeting various computing platforms. Many methods commonly employed, particularly coupled cluster methods, have been adapted to leverage the latest advances in modern high-performance computing. Selected configuration interaction (sCI) methods have seen extensive usage and development in recent years. However, the development of sCI methods targeting massively parallel resources has been explored only in a few research works. Here, we present a parallel, distributed memory implementation of the adaptive sampling configuration interaction approach (ASCI) for sCI. In particular, we will address the key concerns pertaining to the parallelization of the determinant search and selection, Hamiltonian formation, and the variational eigenvalue calculation for the ASCI method. Load balancing in the search step is achieved through the application of memory-efficient determinant constraints originally developed for the ASCI-PT2 method. The presented benchmarks demonstrate near optimal speedup for ASCI calculations of Cr2 (24e, 30o) with 106, 107, and 3 × 108 variational determinants on up to 16 384 CPUs. To the best of the authors' knowledge, this is the largest variational ASCI calculation to date. [ABSTRACT FROM AUTHOR]

For many computational chemistry packages, being able to efficiently and effectively scale across an exascale cluster is a heroic feat. Collective experience from the Department of Energy's Exascale Computing Project suggests that achieving exascale performance requires far more planning, design, and optimization than scaling to petascale. In many cases, entire rewrites of software are necessary to address fundamental algorithmic bottlenecks. This in turn requires a tremendous amount of resources and development time, resources that cannot reasonably be afforded by every computational science project. It thus becomes imperative that computational science transition to a more sustainable paradigm. Key to such a paradigm is modular software. While the importance of modular software is widely recognized, what is perhaps not so widely appreciated is the effort still required to leverage modular software in a sustainable manner. The present manuscript introduces PluginPlay, https://github.com/NWChemEx-Project/PluginPlay, an inversion-of-control framework designed to facilitate developing, maintaining, and sustaining modular scientific software packages. This manuscript focuses on the design aspects of PluginPlay and how they specifically influence the performance of the resulting package. Although, PluginPlay serves as the framework for the NWChemEx package, PluginPlay is not tied to NWChemEx or even computational chemistry. We thus anticipate PluginPlay to prove to be a generally useful tool for a number of computational science packages looking to transition to the exascale. [ABSTRACT FROM AUTHOR]

It is for the first time that quantum simulation for high-energy physics (HEP) is studied in the U.S. decadal particle-physics community planning, and in fact until recently, this was not considered a mainstream topic in the community. This fact speaks of a remarkable rate of growth of this subfield over the past few years, stimulated by the impressive advancements in quantum information sciences (QIS) and associated technologies over the past decade, and the significant investment in this area by the government and private sectors in the U.S. and other countries. High-energy physicists have quickly identified problems of importance to our understanding of nature at the most fundamental level, from tiniest distances to cosmological extents, that are intractable with classical computers but may benefit from quantum advantage. They have initiated, and continue to carry out, a vigorous program in theory, algorithm, and hardware co-design for simulations of relevance to the HEP mission. This Roadmap is an attempt to bring this exciting and yet challenging area of research to the spotlight, and to elaborate on what the promises, requirements, challenges, and potential solutions are over the next decade and beyond.

This work demonstrates a method to design photonic surfaces by combining femtosecond laser processing with the inverse design capabilities of tandem neural networks that directly link laser fabrication parameters to their resulting textured substrate optical properties. High throughput fabrication and characterization platforms are developed that generate a dataset comprising 35280 unique microtextured surfaces on stainless steel with corresponding measured spectral emissivities. The trained model utilizes the nonlinear one‐to‐many mapping between spectral emissivity and laser parameters. Consequently, it generates predominantly novel designs, which reproduce the full range of spectral emissivities (average root‐mean‐squared‐error < 2.5%) using only a compact region of laser parameter space 25 times smaller than what is represented in the training data. Finally, the inverse design model is experimentally validated on a thermophotovoltaic emitter design application. By synergizing laser‐matter interactions with neural network capabilities, the approach offers insights into accelerating the discovery of photonic surfaces, advancing energy harvesting technologies. [ABSTRACT FROM AUTHOR]

Introduction: A central tenet of national health and social care policy is to ensure that services support people in achieving their personal well-being and health outcomes, including people with multimorbidity. In Norway, research is needed that addresses multimorbidity in old age in community health services. Aim: The aim of this publication is to report results from a JLA inspired approach to identify a top 10 list of potential priorities within the scope of coordination and continuity of health services for home-dwelling older adults with multimorbidity. Methods: Through a JLA-inspired PSP, the method was conducted through 5 stages: (1) setting up a steering group, (2) establishing a PSP, (3) developing potential research questions, (4) processing, categorising and summarising these research questions, (5) determining top 10 priorities. Results: The 131 respondents identified 486 uncertainties. The top priorities were related to communication between community health professionals and how information can reach frail older adults. Conclusion: Researchers looking for relevant research questions will be able to address these top 10 questions provided by clinicians and older adults in the context of community health care.