Generic Service Research Articles

Service user experiences of community services for complex emotional needs: A qualitative thematic synthesis.

There is a recognised need to develop clear service models and pathways to provide high quality care in the community for people with complex emotional needs, who may have been given a "personality disorder" diagnosis. Services should be informed by the views of people with these experiences. To identify and synthesise qualitative studies on service user experiences of community mental health care for Complex Emotional Needs. We searched six bibliographic databases for papers published since 2003. We included peer reviewed studies reporting data on service user experiences and views about good care from community-based mental health services for adults with CEN, including generic mental health services and specialist "personality disorder" services. Studies using any qualitative method were included and thematic synthesis used to identify over-arching themes. Forty-seven papers were included. Main themes were: 1) The need for a long-term perspective on treatment journeys; 2) The need for individualised and holistic care; 3) Large variations in accessibility and quality of mental health services; 4) The centrality of therapeutic relationships; 5) Impacts of 'personality disorder' diagnosis. Themes tended to recur across studies from different countries and years. Recurrent major themes included wanting support that is individualised and holistic, provides continuity over long journeys towards recovery, and that is delivered by empathetic and well-informed clinicians who are hopeful but realistic about the prospects of treatment. Care that met these simple and clearly stated priorities tended to be restricted to often limited periods of treatment by specialist "personality disorder" services: generic and primary care services were often reported as far from adequate. There is an urgent need to co-design and test strategies for improving long-term support and treatment care for people with "personality disorders" throughout the mental health care system.

A conceptual framework for modeling the supply side of mobility services within large-scale agent-based travel demand models

ABSTRACT The state-of-the-art of mobility services among large-scale agent-based travel demand models has focused predominantly on the demand side, whereas complexities of the supply side have been given much less attention. Conventional definitions must be revisited to establish solid foundations for model implementations. First, several mobility services are characterized from abstract attributes, by all agents involved, and by operational tasks involved in service provision. Then, a high-level generic service provision process is developed to allow instantiation of various services. Extensions for conventional travel demand model systems are also developed, including: a mobility services component containing service provider agentsand their operational tasks integrated logically into service provision processes; a fleet component containing vehicle agents of each service and a driver activity model when human-driven; a MaaS component containing mobility provider agents that coordinate and integrate mobility services. Generic modeling issues are also discussed, including treatment of time, data structures, and computational efficiency.

Sense Your Power

Energy-constrained sensor nodes can adaptively optimize their energy consumption if a continuous measurement is provided. This is of particular importance in scenarios of high dynamics such as with energy harvesting. Still, self-measuring of power consumption at reasonable cost and complexity is unavailable as a generic system service. In this article, we present ECO, a hardware-software co-design that adds autonomous energy management capabilities to a large class of low-end IoT devices. ECO consists of a highly portable hardware shield built from inexpensive commodity components and software integrated into the RIOT operating system. RIOT supports more than 200 popular microcontrollers. Leveraging this flexibility, we assembled a variety of sensor nodes to evaluate key performance properties for different device classes. An overview and comparison with related work shows how ECO fills the gap of in situ power attribution transparently for consumers and how it improves over existing solutions. We also report about two different real-world field trials, which validate our solution for long-term production use.

National Health Service interventions in England to improve care to Armed Forces veterans

Armed Forces veterans (AFVs) are first and foremost citizens of the UK and are therefore—like all UK residents—entitled to universal healthcare, free at the point of need. This means that...

Topography-correlated atmospheric signal mitigation for InSAR applications in the Tibetan plateau based on global atmospheric models

ABSTRACT Atmospheric heterogeneity mainly exposes itself as tropospheric-phase delay in Satellite Interferometric Synthetic Aperture radar (InSAR) observations, which smears or even overshadows the deformation component of InSAR measurements. In this study, we estimated the performance of four Global Atmospheric Models (GAMs), i.e. European Centre for Medium-Range Weather Forecasts (ECMWF) Reanalysis v5 (ERA5), ERA-Interim (ERA-I), Modern-Era Retrospective analysis for Research and Applications v2 (MERRA2) and Generic Atmospheric Correction Online Service for InSAR (GACOS), for tropospheric-phase delay reduction in InSAR applications in the Tibetan plateau, of which ERA5 is the latest GAM released by ECMWF. We demonstrated the effectiveness of Atmospheric Phase Screen (APS) correction using the four GAMs for more than 700 Sentinel-1 Terrain Observation by Progressive Scans interferograms covering two study areas in the southern (R1) and northwest margins (R2) of the Tibetan plateau. Topography-correlated signals have been widely observed in these interferograms, which are most likely due to the APS effects. We calculated the Standard Deviations (SD) and Pearson’s Correlation Coefficients (r) between InSAR Line of Sight measurements and topography before and after applying APS correction. The results show that the SDs of non-deformation areas from the GAMs decrease to approximately 4 mm from around 10 mm and 12 mm originally on average for R1 and R2, respectively, and the r after the APS correction are reduced below 0.4 from around 0.8 for the selected interferometric pairs. In addition, as the newly released GAM, ERA5 has similar performance with GACOS products and outperforms other models generally. This suggests that GAMs, particularly ERA5, have great potential in the APS correction for InSAR applications in the Tibetan plateau.

IndoorPlant: A Model for Intelligent Services in Indoor Agriculture Based on Context Histories.

The application of ubiquitous computing has increased in recent years, especially due to the development of technologies such as mobile computing, more accurate sensors, and specific protocols for the Internet of Things (IoT). One of the trends in this area of research is the use of context awareness. In agriculture, the context involves the environment, for example, the conditions found inside a greenhouse. Recently, a series of studies have proposed the use of sensors to monitor production and/or the use of cameras to obtain information about cultivation, providing data, reminders, and alerts to farmers. This article proposes a computational model for indoor agriculture called IndoorPlant. The model uses the analysis of context histories to provide intelligent generic services, such as predicting productivity, indicating problems that cultivation may suffer, and giving suggestions for improvements in greenhouse parameters. IndoorPlant was tested in three scenarios of the daily life of farmers with hydroponic production data that were obtained during seven months of cultivation of radicchio, lettuce, and arugula. Finally, the article presents the results obtained through intelligent services that use context histories. The scenarios used services to recommend improvements in cultivation, profiles and, finally, prediction of the cultivation time of radicchio, lettuce, and arugula using the partial least squares (PLS) regression technique. The prediction results were relevant since the following values were obtained: 0.96 (R2, coefficient of determination), 1.06 (RMSEC, square root of the mean square error of calibration), and 1.94 (RMSECV, square root of the mean square error of cross validation) for radicchio; 0.95 (R2), 1.37 (RMSEC), and 3.31 (RMSECV) for lettuce; 0.93 (R2), 1.10 (RMSEC), and 1.89 (RMSECV) for arugula. Eight farmers with different functions on the farm filled out a survey based on the technology acceptance model (TAM). The results showed 92% acceptance regarding utility and 98% acceptance for ease of use.

Service blueprint of comprehensive medication management: A mapping for outpatient clinics.

Comprehensive medication management (CMM) is a clinical service based on the theoretical and methodological framework of pharmaceutical care. Service blueprint is one of the most widespread visual tools of service design. It enables description of the processes involved in service provision that ultimately define patient experience. Although studies have shown the clinical, humanistic and economic benefits of CMM, its provision still involves several challenges, which can be minimized with the proper mapping of this service. However, this initiative has not yet been described in the literature using this specific tool. To develop, apply and improve a blueprint for CMM services delivered in the ambulatory setting. This qualitative study was organized in two phases. In phase 1, two expert panels were carried out to jointly create a generic service blueprint-model for CMM on ambulatory care involving nine specialists with diverse experiences in the area. In phase 2, the generic model was applied and improved in a public rheumatology clinic. The outcome of phase 2 was defined as the final generic service blueprint-model for CMM in the ambulatory setting. The final generic blueprint-model created has 21 customer actions, of which 2 are considered critical (with great potential for failure and to compromise the patient's experience with the service): "seeking and accepting the service invitation" and "accepting the care plan co-created with the pharmacist". Fifteen backstage actions (without the patient's awareness) were identified, and the most critical occurred in the post-service, such as collection of indicators. The need for 7 support processes was also identified, and 3 of which were critical. Nineteen physical pieces of evidence for the user of CMM service were defined, with consultation room as the only physical piece of evidence considered critical. The developed service blueprint can improve the patient's experience with CMM and facilitate communication with decision makers and other stakeholders. The model is proposed as a reference that can be customized to different ambulatory care settings.

Challenges to mental health services for refugees: a global perspective.

Challenges to mental health services for refugees: a global perspective.

Call Admission Control Optimization in 5G in Downlink Single-Cell MISO System

The main goal ofNew Radio 5G (NR) mobile technology is to support three generic service categories, each with very specific requirements. The first category is enhanced Mobile Broadband (eMBB), the second category relates to massive Machine-Type Communications (mMTC), and the third category relates to ultra-Reliable Low Latency Communications (URLLC). The slicing of the radio part of 5G network access network has greatly contributed to the emergence of these three categories of service with different qualities of service. This division therefore enabled the network to reserve the necessary resources for each category of services, orthogonally, and according to the performance required. In this article, we have dealt with the problem of Call Admission Control (CAC) in 5G networks where we have considered the case of the only two categories eMBB and uRLLC, which their users are served by a single cell. We calculated the maximum eMBB users admitted into the system with guaranteed data rate, while allocating power, bandwidth, and beamforming directions to all uRLLC users whose latency requirements and reliability are always guaranteed. We only considered the downlink communication, and we used the case of the multiple-input single-output (MISO) system. This CAC problem is formulated as a minimization problem l0 which is known as NP-hard problem. We therefore chose to use Sequential Convex Programming (SCP) to find a suboptimal solution to the problem.

Statistical assessment metrics for InSAR atmospheric correction: Applications to generic atmospheric correction online service for InSAR (GACOS) in Eastern China

The atmospheric effect represents one of the major error sources in Interferometric Synthetic Aperture Radar (InSAR), and its mitigation is found crucial for high-precision InSAR applications. Numerous studies on InSAR atmospheric correction methods and applications covering a wide range of regions worldwide have been reported with varying degrees of success. However, more efforts on the performance assessment are needed, and the conclusions may lack statistical significance due to the limited interferograms involved in most of these analyses. To optimally utilise different InSAR atmospheric correction methods and avoid potential uncertainty caused, appropriate statistical metrics to assess the correction performance must be set up. In this work, we provide a general guideline for statistical assessment of InSAR atmospheric correction. Based on the physical properties of the atmosphere, three metrics are applied: (i) the phase standard deviation which assesses the overall performance of the correction; (ii) the spatial structure function which evaluates the reduction of the long-wavelength atmospheric effect; and (iii) the phase-elevation correlation coefficient which measures the reduction of the stratified component of the atmospheric delay. The performance of the Generic Atmospheric Correction Online Service for InSAR (GACOS) products for two typical terrains in Eastern China is evaluated. Statistical results of the 1250 Sentinel-1 interferograms covering the Yellow River Delta and Shandong hilly region show that (i) GACOS reduces the interferometric phase standard deviation in 84.6% of the interferograms by an average of 36.4%; (ii) the phase decorrelation distance decreases from 321 km to 225 km on average after correction; and (iii) the mean phase-elevation correlation declines by 33.3% for the areas with considerable topographic variations. The results verify the effectiveness of GACOS products in Eastern China for the first time, and the three proposed metrics further characterise the sources of improvement after correction.

Comparative analysis of models and performance indicators for optimal service facility location

This study investigates the optimal process for locating generic service facilities by applying and comparing several well-known basic models from the literature. At a strategic level, we emphasize that selecting the right location model to use could result in a problematic and possibly misleading task if not supported by appropriate quantitative analysis. For this reason, we propose a general methodological framework to analyze and compare the solutions provided by several models to obtain a comprehensive evaluation of the location decisions from several different perspectives. Therefore, a battery of key performance indicators (KPIs) has been developed and calculated for the different models’ solutions. Additional insights into the decision process have been obtained through a comparative analysis. The indicators involve topological, coverage, equity, robustness, dispersion, and accessibility aspects. Moreover, a specific part of the analysis is devoted to progressive location interventions over time and identifying core location decisions. Results on randomly generated instances, which simulate areas characterized by realistic geographical or demographic features, are reported to analyze the models’ behavior in different settings and demonstrate the methodology’s general applicability. Our experimental campaign shows that the p-median model behaves very well against the proposed KPIs. In contrast, the maximal covering problem and some proposed back-up coverage models return very robust solutions when the location plan is implemented through several progressive interventions over time.

A Modular Experimentation Methodology for 5G Deployments: The 5GENESIS Approach.

The high heterogeneity of 5G use cases requires the extension of the traditional per-component testing procedures provided by certification organizations, in order to devise and incorporate methodologies that cover the testing requirements from vertical applications and services. In this paper, we introduce an experimentation methodology that is defined in the context of the 5GENESIS project, which aims at enabling both the testing of network components and validation of E2E KPIs. The most important contributions of this methodology are its modularity and flexibility, as well as the open-source software that was developed for its application, which enable lightweight adoption of the methodology in any 5G testbed. We also demonstrate how the methodology can be used, by executing and analyzing different experiments in a 5G Non-Standalone (NSA) deployment at the University of Malaga. The key findings of the paper are an initial 5G performance assessment and KPI analysis and the detection of under-performance issues at the application level. Those findings highlight the need for reliable testing and validation procedures towards a fair benchmarking of generic 5G services and applications.

Limits of linkage-based development: an assessment of the oil and gas sector in North Patagonia, Argentina

ABSTRACT The research note assesses the prospects of development through extractive industries in north Patagonia (Argentina), a region that holds considerably large unconventional oil and gas deposits. The author applies the linkage approach from the literature on global value chains, paying particular attention to backward and forward production linkages because they may trigger a structural transformation of the regional economy. He finds that north Patagonian firms have managed to plug into the upstream sector. There are efforts to facilitate an unconventional hydrocarbon cluster and even hopes of local firms venturing into markets abroad, which would enable them to become specialized suppliers. However, their present role is largely limited to the provision of generic products and services, and it appears unlikely that this will change due to financial and other constraints. Even though north Patagonia benefits from linkages, the disillusioning findings lead the author to call for a less optimistic understanding of linkage-based development in global value chains: resource peripheries may be stuck at a level of generic, low value-added activities.

A magic formula for economic development? Global market integration and spatial polarization in extractive industries

ABSTRACT The World Bank, World Trade Organization and others promote integration into global markets as a certain path towards economic development. Some researchers share this optimism, arguing that development is the record of how one thing leads to another, once peripheral locations have plugged into global networks. Comparing resource peripheries in South America, Southeast Asia and Sub-Saharan Africa with regard to the upstream oil and gas sector, we call for a more nuanced assessment. Against the backdrop of 38 narrative, open-ended interviews, we show that there is spatial polarization between ‘gateways’ and peripheral sites in Southeast Asia. Argentinean and Ghanaian case studies reveal that local firms usually provide generic services, with little prospects of venturing into higher value-adding activities. We conclude that at least the oil and gas sector is not suitable for fulfilling very optimistic expectations on development.

Reduction of HARQ Latency for URLLC 5G Services Based on Network Slicing and Massive MIMO Hybrid Beamforming

Ultra-Reliable and Low-Latency Communications (URLLC) is one of the three generic 5G services and probably the most challenging one, with strict quality of service requirements of 99.999% or more reliability and less than 1 milliseconds (ms) radio latency. To achieve latency targets, contributors to latency need to be addressed. Hybrid automatic repeat request (HARQ) retransmissions are major contributor to latency and need to be limited. The objective of this paper is to study the benefit of using Massive MIMO (M-MIMIO) along with radio network slicing to reduce number of HARQ retransmissions. A practical type of M-MIMO beamforming named hybrid beamforming is used. The performance of the proposed system is evaluated with slicing, without slicing and by alternating number of data streams per user. This work highlights the importance of technology enablers, such as M-MIMO and network slicing, in addressing quality-of-service (QoS) latency requirements for URLLC applications.

DINA—Development of open source and open services for natural history collections & research

The DINA Consortium (DINA = “DIgital information system for NAtural history data”, https://dina-project.net) is a framework for like-minded practitioners of natural history collections to collaborate on the development of distributed, open source software that empowers and sustains collections management. Target collections include zoology, botany, mycology, geology, paleontology, and living collections. The DINA software will also permit the compilation of biodiversity inventories and will robustly support both observation and molecular data. The DINA Consortium focuses on an open source software philosophy and on community-driven open development. Contributors share their development resources and expertise for the benefit of all participants. The DINA System is explicitly designed as a loosely coupled set of web-enabled modules. At its core, this modular ecosystem includes strict guidelines for the structure of Web application programming interfaces (APIs), which guarantees the interoperability of all components (https://github.com/DINA-Web). Important to the DINA philosophy is that users (e.g., collection managers, curators) be actively engaged in an agile development process. This ensures that the product is pleasing for everyday use, includes efficient yet flexible workflows, and implements best practices in specimen data capture and management. There are three options for developing a DINA module: create a new module compliant with the specifications (Fig. 1), modify an existing code-base to attain compliance (Fig. 2), or wrap a compliant API around existing code that cannot be or may not be modified (e.g., infeasible, dependencies on other systems, closed code) (Fig. 3). create a new module compliant with the specifications (Fig. 1), modify an existing code-base to attain compliance (Fig. 2), or wrap a compliant API around existing code that cannot be or may not be modified (e.g., infeasible, dependencies on other systems, closed code) (Fig. 3). All three of these scenarios have been applied in the modules recently developed: a module for molecular data (SeqDB), modules for multimedia, documents and agents data and a service module for printing labels and reports: The SeqDB collection management and molecular tracking system (Bilkhu et al. 2017) has evolved through two of these scenarios. Originally, the required architectural changes were going to be added into the codebase, but after some time, the development team recognised that the technical debt inherent in the project wasn’t worth the effort of modification and refactoring. Instead a new codebase was created bringing forward the best parts of the system oriented around the molecular data model for Sanger Sequencing and Next Generation Sequencing (NGS) workflows. In the case of the Multimedia and Document Store module and the Agents module, a brand new codebase was established whose technology choices were aligned with the DINA vision. These two modules have been created from fundamental use cases for collection management and digitization workflows and will continue to evolve as more modules come online and broaden their scope. The DINA Labels & Reporting module is a generic service for transforming data in arbitrary printable layouts based on customizable templates. In order to use the module in combination with data managed in collection management software Specify (http://specifysoftware.org) for printing labels of collection objects, we wrapped the Specify 7 API with a DINA-compliant API layer called the “DINA Specify Broker”. This allows for using the easy-to-use web-based template engine within the DINA Labels & Reports module without changing Specify’s codebase. In our presentation we will explain the DINA development philosophy and will outline benefits for different stakeholders who directly or indirectly use collections data and related research data in their daily workflows. We will also highlight opportunities for joining the DINA Consortium and how to best engage with members of DINA who share their expertise in natural science, biodiversity informatics and geoinformatics.

Triggered afterslip on the southern Hikurangi subduction interface following the 2016 Kaikōura earthquake from InSAR time series with atmospheric corrections

The 2016 Mw 7.8 Kaikōura earthquake represents an extremely complex event involving over ten major crustal faults, altering conventional understanding of multi-fault ruptures. Although evidence for coseismic slip on the Hikurangi subduction interface is controversial, we present afterslip on the subduction zone beneath Marlborough using 13 months of Interferometric Synthetic Aperture Radar (InSAR) and Global Positioning System (GPS) observations. The spatially and temporally correlated atmospheric errors in SAR interferograms are problematic, and hence a new InSAR time series approach, combining the Generic Atmospheric Correction Online Service (GACOS) with a spatial-temporal Atmospheric Phase Screen (APS) filter to facilitate the InSAR time series analysis, is developed. For interferograms with over 250 km spatial extent, we achieve a 0.77 cm displacement RMS difference against GPS, improving 61% from the conventional InSAR time series method (TS). Comparisons between the overlapping region of two independent tracks show an RMS difference of 1.1 cm for the TS-GACOS-APS combined method, improving 54% from the TS method and 27% from using TS with an APS filter only. The APS filter reduces the short wavelength residuals substantially, but fails to remove the long wavelength error even after the ramp removal, revealing that the GACOS correction has played a key role in mitigating long wavelength atmospheric effects. The resultant InSAR displacements, together with the GPS displacements, are used to recover the time-dependent afterslip distribution on the Hikurangi subduction interface, which provides insights for reviewing the co-seismic slip sources, the present status of the subduction plate boundary and future seismic hazards.

Perinatal mental health: a review of progress and challenges.

Perinatal mental health has become a significant focus of interest in recent years, with investment in new specialist mental health services in some high-income countries, and inpatient psychiatric mother and baby units in diverse settings. In this paper, we summarize and critically examine the epidemiology and impact of perinatal mental disorders, including emerging evidence of an increase of their prevalence in young pregnant women. Perinatal mental disorders are among the commonest morbidities of pregnancy, and make an important contribution to maternal mortality, as well as to adverse neonatal, infant and child outcomes. We then review the current evidence base on interventions, including individual level and public health ones, as well as service delivery models. Randomized controlled trials provide evidence on the effectiveness of psychological and psychosocial interventions at the individual level, though it is not yet clear which women with perinatal mental disorders also need additional support for parenting. The evidence base on psychotropic use in pregnancy is almost exclusively observational. There is little research on the full range of perinatal mental disorders, on how to improve access to treatment for women with psychosocial difficulties, and on the effectiveness of different service delivery models. We conclude with research and clinical implications, which, we argue, highlight the need for an extension of generic psychiatric services to include preconception care, and further investment into public health interventions, in addition to perinatal mental health services, potentially for women and men, to reduce maternal and child morbidity and mortality.

A design navigator to guide the transition towards environmentally benign product/service systems based on LCA results

With rising societal demands for a transition towards a circular economy and intensifying market competition, manufacturing companies are increasingly seeking alternative ways to design and develop their industrial offerings with reduced environmental impacts and increased value. A possible solution lies in designing environmentally benign product/service systems (PSSs), which often requires the redesign of existing offerings in industrial practice.This article presents a design navigator named lifecycle-oriented function deployment (LFD), which builds on the widely utilized life cycle assessment (LCA) and quality function deployment (QFD) to support the redesign of existing industrial offerings towards PSSs with reduced environmental impacts. LFD includes a novel procedure to derive environmental requirements using LCA and to prioritize them along with customer requirements. It introduces a list of generic service design characteristics to support service design. It also contains a QFD-based procedure to identify design parameters (characteristics and components for both products and services) that have a relatively strong influence on the prioritized requirements. Further, a novel way is proposed to capture specific product and service design characteristics that are feasible to integrate and potentially have a rather strong influence on the requirements when combined.LFD is subsequently applied in a case study to conceptually redesign an existing offering in a manufacturing company. The application is then assessed using an LCA and a semi-structured interview with the users of LFD. The LCA results indicate significant reductions in environmental impacts of the redesigned concepts, and the interview revealed benefits for the practitioners who used LFD.

World cities and peripheral development: The interplay of gateways and subordinate places in Argentina and Ghana’s upstream oil and gas sector

AbstractServing as “gateways”, some world cities tie their wider hinterlands to global networks. The article revisits gateway–hinterland relations against the backdrop of assessments that lead to opposed conclusions on the benefits and shortcomings of integration into the world economy. Referring to the oil and gas sector in Argentina and Ghana, it answers the question of how gateways interact with subordinate places and also uncovers obstacles to peripheral development. The author finds that Accra and Buenos Aires concentrate corporate control. Argentina's capital serves as a gateway for knowledge generation and logistics too. Opportunities for peripheral development in both countries are considerable, albeit largely limited to generic services. Besides a certain concentration of business activities in the gateway cities, more important challenges to peripheral development are typical for small and medium enterprises (insufficient finance and management capabilities, unawareness of business opportunities, and the like). They include rent seeking and subcontracting. The latter leaves local companies in a particularly weak position vis‐à‐vis lead firms. The author argues that while integration into the world economy allows for peripheral development, the corresponding outcomes may not meet everyone's expectations. Related expectations must, therefore, be more down‐to‐earth than overly optimistic statements frequently made by politicians.