A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads MPI Processes and the Grid

The work described in this paper tackles the problem of data mining and classification of large amounts of data using the K nearest neighbours classifier (KNN) [1]. The large computing demand of this process is solved with a parallel computing implementation specially designed to work in Grid environments of multiprocessor computer farms. The different parallel computing approaches (intra-node, inter-node and inter-organisations) are not sufficient by themselves to face the computing demand of such a big problem. Instead of using parallel techniques separately, we propose to combine the three of them considering the parallelism grain of the different parts of the problem. The main purpose is to complete a 1 month-CPU job in a few hours. The technologies that are being used are the EGEE Grid Computing Infrastructure running the Large Hadron Collider Computing Grid (LCG 2.6) middleware [3], MPI [4] [5] and POSIX [6] threads. Finally, we compare the results obtained with the most popular and used tools to understand the importance of this strategy.Aparicio Pla, G.; Blanquer Espert, I.; Hernández García, V. (2007). A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads MPI Processes and the Grid. En High Performance Computing for Computational Science - VECPAR 2006. Springer Verlag (Germany). 225-235. doi:10.1007/978-3-540-71351-7_18S225235Cover, T.M., Hart, P.E.: Nearest neighbour pattern recognition. IEEE Trans. on Information Theory 13(1), 2127 (1967)Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International J. Supercomputer Applications 15(3) (2001), http://www.globus.org/research/papers/anatomy.pdfLCG: World Wide Web Computing Grid. Distributed Production Environment of Physics Data Processing. http://lcg.web.cern.ch/LCGMessage Passing Interface Forum: MPI: A message-passing interface standard (2003), http://www.mpi-forum.org/Gropp, W., et al.: MPI: The Complete Reference. MIT Press, Cambridge (1998)Drepper, U., Molnar, I.: The Native POSIX Thread Library for Linux (2003), http://people.redhat.com/drepper/nptl-design.pdfFrank, E., Hall, M., L.T.: Weka 3: Data Mining Software in Java (2005), http://www.cs.waikato.ac.nz/ml/wek

SLA-Driven Cloud Computing Domain Representation and Management

The assurance of Quality of Service (QoS) to the applications, although identified as a key feature since long ago [1], is one of the fundamental challenges that remain unsolved. In the Cloud Computing context, Quality of Service is defined as the measure of the compliance of certain user requirement in the delivery of a cloud resource, such as CPU or memory load for a virtual machine, or more abstract and higher level concepts such as response time or availability. Several research groups, both from academia and industry, have started working on describing the QoS levels that define the conditions under which the service need to be delivered, as well as on developing the necessary means to effectively manage and evaluate the state of these conditions. [2] propose Service Level Agreements (SLAs) as the vehicle for the definition of QoS guarantees, and the provision and management of resources. A Service Level Agreement (SLA) is a formal contract between providers and consumers, which defines the quality of service, the obligations and the guarantees in the delivery of a specific good. In the context of Cloud computing, SLAs are considered to be machine readable documents, which are automatically managed by the provider's platform. SLAs need to be dynamically adapted to the variable conditions of resources and applications. In a multilayer architecture, different parts of an SLA may refer to different resources. SLAs may therefore express complex relationship between entities in a changing environment, and be applied to resource selection to implement intelligent scheduling algorithms. Therefore SLAs are widely regarded as a key feature for the future development of Cloud platforms. However, the application of SLAs for Grid and Cloud systems has many open research lines. One of these challenges, the modeling of the landscape, lies at the core of the objectives of the Ph. D. Thesis.García García, A. (2014). SLA-Driven Cloud Computing Domain Representation and Management [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/36579TESI

An OGSA Middleware for Managing Medical Images Using Ontologies

The final publication is available at Springer via http://dx.doi.org/ 10.1007/s10877-005-0675-0This article presents a Middleware based on Grid Technologies that addresses the problem of sharing, transferring and processing DICOM medical images in a distributed environment using an ontological schema to create virtual communities and to define common targets. It defines a distributed storage that builds-up virtual repositories integrating different individual image repositories providing global searching, progressive transmission, automatic encryption and pseudo-anonimisation and a link to remote processing services. Users from a Virtual Organisation can share the cases that are relevant for their communities or research areas, epidemiological studies or even deeper analysis of complex individual cases. Software architecture has been defined for solving the problems that has been exposed before. Briefly, the architecture comprises five layers (from the more physical layer to the more logical layer) based in Grid Thecnologies. The lowest level layers (Core Middleware Layer and Server Services layer) are composed of Grid Services that implement the global managing of resources. The Middleware Components Layer provides a transparent view of the Grid environment and it has been the main objective of this work. Finally, the upest layer (the Application Layer) comprises the applications, and a simple application has been implemented for testing the components developed in the Components Middleware Layer. Other side-results of this work are the services developed in the Middleware Components Layer for managing DICOM images, creating virtual DICOM storages, progressive transmission, automatic encryption and pseudo-anonimisation depending on the ontologies. Other results, such as the Grid Services developed in the lowest layers, are also described in this article. Finally a brief performance analysis and several snapshots from the applications developed are shown. The performance analysis proves that the components developed in this work provide image processing applications with new possibilities for large-scale sharing, management and processing of DICOM images. The results show that the components fulfil the objectives proposed. The extensibility of the system is achieved by the use of open methods and protocols, so new components can be easily added.Blanquer Espert, I.; Hernández García, V.; Segrelles Quilis, JD. (2005). An OGSA Middleware for Managing Medical Images Using Ontologies. Journal of Clinical Monitoring and Computing. 19:295-305. doi:10.1007/s10877-005-0675-0S29530519“European DataGrid Project”. http://www.eu-datagrid.org.“Biomedical Informatics Research”. http://www.nbirn.net/.“ACI project MEDIGRID: medical data storage and processing on the GRID”.http://www.creatis.insa-lyon.fr/MEDIGRID/.“Information eXtraction from Images (IXI) Grid Services for Medical Imaging”. Working Notes of the Workshop on Distributed Databases and processing in Medical Image Computing (DIDAMIC'04). Pag 65.“NeuroBase: Management of Distributed and Heterogeneous Information Sources in Neuroimaging”. Working Notes of the Workshop on Distributed Databases and processing in Medical Image Computing (DIDAMIC'04). Pag 85.Digital Imaging and Communications in Medicine (DICOM) Part 10: Media Storage and File Format for Media Interchange. National Electrical Manufacturers Association, 1300 N. 17th Street, Rosslyn, Virginia 22209 USA.“Open Grid Services Architecture (OGSA)”, http://www.globus.org/ogsa.Globus alliance Home Page. “Relevant documents”, http://www.globus.orgAllen Wyke R, Watt A, “XML Schema Essentials”. Wiley Computer Pub. ISBN 0-471-412597Web security and commerce/Simson Garfinkel. - Cambridge: O'Reilly, 1997. - 483 p.; 23 cm. ISBN 1565922697“The GridFTP Protocol and Software”. http://www-fp.globus.org/datagrid/gridftp.html.JPEG2000: Image compression fundamentals, standards and practice/David S. Taubman, Michael W. Marcellin. – Boston [etc.] : Kluwer Academic, cop. 2002. - XIX, 773 p.; 24 cm. + 1 CD-Rom - (The Kluwer international series in engineering and computer science) ISBN 079237519XBradley J, Erickson MD, “Irreversible Compression of Medical Images”, Dpt. Radiology, Mayo F., Rochester, MN, Jo. of D. Imaging, DOI: 10.1007/s10278-002-0001-z, 02.Monitoring & Discovery System (MDS)” http://www-unix.globus.org/toolkit/mds/“Key management for encrypted data storage in distributed systems”. Proceedings of HeathGrid 2004

Vertical Elasticity on Marathon and Chronos Mesos frameworks

[EN] Marathon and Chronos are two popular Mesos frameworks that are widely used for deploying fault-tolerant services and periodic batch jobs. Marathon and Chronos provide by design mechanisms for horizontal elasticity, scaling up and down the number of job and service instances. Horizontal elasticity is appropriate when the problems that are solved are inherently parallel. However, when the problem cannot benefit from an increase of the amount of resources, vertical elasticity must be considered. This work implements on top of Marathon and Chronos Mesos frameworks, a mechanism to vary the resources associated to an executor dynamically, according to its progress and considering specific Quality of Service (QoS). The mechanism developed provides a wrapper executable and a service that takes the decision of increasing or decreasing the resources allocated to different Chronos iterations or a long-living Marathon application. The mechanism makes use of checkpointing techniques to preserve the execution of Marathon applications and leverages OpenStack Monasca for the monitoring. \footnote{The work in this article has been funded by projects BIGCLOE and EUBra-BIGSEA, BIGLOE is funded by the Spanish ``Ministerio de Econom\'ia, Industria y Competitividad" with reference number TIN2016-79951-R and EUBra-BIGSEA is funded jointly by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 690116 and the Brazilian Ministério de Ciência, Tecnologia e Inovação (MCTI).The work in this article has been funded by projects BIGCLOE and EUBra BIGSEA, BIGLOE is funded by the Spanish "Ministerio de Economia, Industria y Competitividad" with reference number TIN2016-79951-R and EUBra-BIGSEA is funded jointly by the European Commission under the Cooperation Programme, Horizon 2020 grant agreement No 690116 and the Brazilian Ministerio de Ciencia, Tecnologia e Inovacao (MCTI).López-Huguet, S.; Natanael, I.; Brito, A.; Blanquer Espert, I. (2019). Vertical Elasticity on Marathon and Chronos Mesos frameworks. Journal of Parallel and Distributed Computing. 133:179-192. https://doi.org/10.1016/j.jpdc.2019.01.002S17919213

Analysis on the efects of turbulent inflow conditions on spray primary atomization in the near-field by direct numerical simulation

[EN] It is widely acknowledged that the development of sprays in the near-field is of primary importance for the spray formation downstream, as it affects both the spray angle, as well as the intact core length. In this frame, the present work aims to study the effects of turbulence inlet boundary condition on the spray formation by means of Direct Numerical Simulations on a real condition at low Reynolds number. To this extent, the code Paris-Simulator has been used, while a digital filter-based algorithm was used in order to generate synthetic turbulence at the inlet boundary condition. The influence of turbulence intensity and lengthscale on the atomization process has been studied and analyzed through 3 simulation for which these parameters have been varied. The results clearly highlight how the atomization is heavily affected by the inlet turbulence configuration. An analysis of the different atomizing conditions has been conducted, aiming to understand how the variation introduced by the inlet boundary condition on the velocity field is affecting the local atomization dynamics.This work was partly sponsored by "Ministerio de Economia y Competitividad", of the Spanish Government, in the frame of the Project "Estudio de la interaccion chorro-pared en condiciones realistas de motor", Reference TRA2015-67679-c2-1-R. The author thankfully acknowledges the computer resources at MareNostrum (BSC) and the technical support provided by FI-2016-3-0031.Salvador, FJ.; Ruiz, S.; Crialesi Esposito, M.; Blanquer Espert, I. (2018). Analysis on the efects of turbulent inflow conditions on spray primary atomization in the near-field by direct numerical simulation. International Journal of Multiphase Flow. 102:49-63. https://doi.org/10.1016/j.ijmultiphaseflow.2018.01.019S496310

Enhancing Privacy and Authorization Control Scalability in the Grid through Ontologies

© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.The use of data Grids for sharing relevant data has proven to be successful in many research disciplines. However, the use of these environments when personal data are involved (such as in health) is reduced due to its lack of trust. There are many approaches that provide encrypted storages and key shares to prevent the access from unauthorized users. However, these approaches are additional layers that should be managed along with the authorization policies. We present in this paper a privacy-enhancing technique that uses encryption and relates to the structure of the data and their organizations, providing a natural way to propagate authorization and also a framework that fits with many use cases. The paper describes the architecture and processes, and also shows results obtained in a medical imaging platform.Manuscript received November 19, 2007; revised July 27, 2008. First published August 4,2008; cur-rent version published January 4,2009. This work was supported in part by the Spanish Ministry of Education and Science to develop the project "ngGrid-New Generation Components for the Efficient Exploitation of eScience Infrastructures," under Grant TIN2006-12860 and in part by the Structural Funds of the European Regional Development Fund (ERDF).Blanquer Espert, I.; Hernández García, V.; Segrelles Quilis, JD.; Torres Serrano, E. (2009). Enhancing Privacy and Authorization Control Scalability in the Grid through Ontologies. IEEE Transactions on Information Technology in Biomedicine. 13(1):16-24. https://doi.org/10.1109/TITB.2008.2003369S162413

ReMindCare App for Early Psychosis: Pragmatic Real World Intervention and Usability Study

[EN] Background: eHealth interventions are widely used in clinical trials and increasingly in care settings as well; however, their efficacy in real-world contexts remains unknown. ReMindCare is a smartphone app that has been systematically implemented in a first episode of psychosis program (FEPP) for patients with early psychosis since 2018. Objective: The objective of this study was to assess the efficacy of ReMindCare after 19 months of use in the clinic and varying use by individual patients. Methods: The integration of the ReMindCare app into the FEPP started in October 2018. Patients with early psychosis self-selected to the app (ReMindCare group) or treatment as usual (TAU group). The outcome variables considered were adherence to the intervention and number of relapses, hospital admissions, and visits to urgent care units. Data from 90 patients with early psychosis were analyzed: 59 in the ReMindCare group and 31 in the TAU group. The mean age of the sample was 32.8 (SD 9.4) years, 73% (66/90) were males, 91% (83/90) were White, and 81% (74/90) were single. Results: Significant differences between the ReMindCare and TAU groups were found in the number of relapses, hospitalizations, and visits to urgent care units, with each showing benefits for the app. Only 20% (12/59) of patients from the ReMindCare group had a relapse, while 58% (18/31) of the TAU patients had one or more relapses (chi(2) =13.7, P=.001). Moreover, ReMindCare patients had fewer visits to urgent care units (chi(2) =7.4, P=.006) and fewer hospitalizations than TAU patients (chi(2) =4.6, P=.03). The mean of days using the app was 352.2 (SD 191.2; min/max: 18-594), and the mean of engagement was 84.5 (SD 16.04). Conclusions: To our knowledge, this is the first eHealth intervention that has preliminarily proven its benefits in the real-world treatment of patients with early psychosis.This study was supported by the Sanitary Research Institute of the University Clinic Hospital and the Mental Health Networking Biomedical Centre. It was also supported by the Generalitat Valenciana and the Program for Scientific Research, Technological Development, and Innovation in the Generalitat Valenciana of the European Union (2017/9830). It was also supported by grants from the Generalitat Valenciana (PROMETEO/2016/082, PROMETEO/2020/024), Carlos III Health Institute (PI13/00447; PI17/00402), and European Union through the European Regional Development Fund.Bonet, L.; Torous, J.; Arce Grilo, AD.; Blanquer Espert, I.; Sanjuan, J. (2020). ReMindCare App for Early Psychosis: Pragmatic Real World Intervention and Usability Study. JMIR mHealth and uHealth. 8(11):1-13. https://doi.org/10.2196/22997S113811Firth, J., Cotter, J., Torous, J., Bucci, S., Firth, J. A., & Yung, A. R. (2015). Mobile Phone Ownership and Endorsement of «mHealth» Among People With Psychosis: A Meta-analysis of Cross-sectional Studies. Schizophrenia Bulletin, 42(2), 448-455. doi:10.1093/schbul/sbv132Bonet, L., Izquierdo, C., Escartí, M. J., Sancho, J. V., Arce, D., Blanquer, I., & Sanjuan, J. (2017). Utilización de tecnologías móviles en pacientes con psicosis: una revisión sistemática. Revista de Psiquiatría y Salud Mental, 10(3), 168-178. doi:10.1016/j.rpsm.2017.01.003Kannarkat, J. T., Smith, N. N., & McLeod-Bryant, S. A. (2020). Mobilization of Telepsychiatry in Response to COVID-19—Moving Toward 21st Century Access to Care. Administration and Policy in Mental Health and Mental Health Services Research, 47(4), 489-491. doi:10.1007/s10488-020-01044-zTorous, J., & Keshavan, M. (2020). COVID-19, mobile health and serious mental illness. Schizophrenia Research, 218, 36-37. doi:10.1016/j.schres.2020.04.013Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., McIntyre, R. S., … Ho, C. (2020). A longitudinal study on the mental health of general population during the COVID-19 epidemic in China. Brain, Behavior, and Immunity, 87, 40-48. doi:10.1016/j.bbi.2020.04.028Trefflich, F., Kalckreuth, S., Mergl, R., & Rummel-Kluge, C. (2015). Psychiatric patients׳ internet use corresponds to the internet use of the general public. Psychiatry Research, 226(1), 136-141. doi:10.1016/j.psychres.2014.12.037Gay, K., Torous, J., Joseph, A., Pandya, A., & Duckworth, K. (2016). Digital Technology Use Among Individuals with Schizophrenia: Results of an Online Survey. JMIR Mental Health, 3(2), e15. doi:10.2196/mental.5379Bonet, L., Llácer, B., Hernandez-Viadel, M., Arce, D., Blanquer, I., Cañete, C., … Sanjuán, J. (2018). Differences in the Use and Opinions About New eHealth Technologies Among Patients With Psychosis: Structured Questionnaire. JMIR Mental Health, 5(3), e51. doi:10.2196/mental.9950Hau, Y. S., Kim, J. K., Hur, J., & Chang, M. C. (2020). How about actively using telemedicine during the COVID-19 pandemic? Journal of Medical Systems, 44(6). doi:10.1007/s10916-020-01580-zBucci, S., Berry, N., Morris, R., Berry, K., Haddock, G., Lewis, S., & Edge, D. (2019). «They Are Not Hard-to-Reach Clients. We Have Just Got Hard-to-Reach Services.» Staff Views of Digital Health Tools in Specialist Mental Health Services. Frontiers in Psychiatry, 10. doi:10.3389/fpsyt.2019.00344Arango, C., Bernardo, M., Bonet, P., Cabrera, A., Crespo-Facorro, B., Cuesta, M. J., … Melau, M. (2017). Cuando la asistencia no sigue a la evidencia: el caso de la falta de programas de intervención temprana en psicosis en España. Revista de Psiquiatría y Salud Mental, 10(2), 78-86. doi:10.1016/j.rpsm.2017.01.001Camacho, E., Levin, L., & Torous, J. (2019). Smartphone Apps to Support Coordinated Specialty Care for Prodromal and Early Course Schizophrenia Disorders: Systematic Review. Journal of Medical Internet Research, 21(11), e16393. doi:10.2196/16393Correll, C. U., Galling, B., Pawar, A., Krivko, A., Bonetto, C., Ruggeri, M., … Kane, J. M. (2018). Comparison of Early Intervention Services vs Treatment as Usual for Early-Phase Psychosis. JAMA Psychiatry, 75(6), 555. doi:10.1001/jamapsychiatry.2018.0623Bucci, S., Barrowclough, C., Ainsworth, J., Machin, M., Morris, R., Berry, K., … Haddock, G. (2018). Actissist: Proof-of-Concept Trial of a Theory-Driven Digital Intervention for Psychosis. Schizophrenia Bulletin, 44(5), 1070-1080. doi:10.1093/schbul/sby032Eisner, E., Drake, R. J., Berry, N., Barrowclough, C., Emsley, R., Machin, M., & Bucci, S. (2019). Development and Long-Term Acceptability of ExPRESS, a Mobile Phone App to Monitor Basic Symptoms and Early Signs of Psychosis Relapse. JMIR mHealth and uHealth, 7(3), e11568. doi:10.2196/11568Ben-Zeev, D., Brian, R., Wang, R., Wang, W., Campbell, A. T., Aung, M. S. H., … Scherer, E. A. (2017). CrossCheck: Integrating self-report, behavioral sensing, and smartphone use to identify digital indicators of psychotic relapse. Psychiatric Rehabilitation Journal, 40(3), 266-275. doi:10.1037/prj0000243Torous, J., Woodyatt, J., Keshavan, M., & Tully, L. M. (2019). A new hope for early psychosis care: the evolving landscape of digital care tools. The British Journal of Psychiatry, 214(5), 269-272. doi:10.1192/bjp.2019.8Torous, J., Lipschitz, J., Ng, M., & Firth, J. (2020). Dropout rates in clinical trials of smartphone apps for depressive symptoms: A systematic review and meta-analysis. Journal of Affective Disorders, 263, 413-419. doi:10.1016/j.jad.2019.11.167Killikelly, C., He, Z., Reeder, C., & Wykes, T. (2017). Improving Adherence to Web-Based and Mobile Technologies for People With Psychosis: Systematic Review of New Potential Predictors of Adherence. JMIR mHealth and uHealth, 5(7), e94. doi:10.2196/mhealth.7088Krzystanek, M., Krysta, K., & Skałacka, K. (2017). Treatment Compliance in the Long-Term Paranoid Schizophrenia Telemedicine Study. Journal of Technology in Behavioral Science, 2(2), 84-87. doi:10.1007/s41347-017-0016-4Arnold, C., Villagonzalo, K.-A., Meyer, D., Farhall, J., Foley, F., Kyrios, M., & Thomas, N. (2019). Predicting engagement with an online psychosocial intervention for psychosis: Exploring individual- and intervention-level predictors. Internet Interventions, 18, 100266. doi:10.1016/j.invent.2019.100266Ross, J., Stevenson, F., Lau, R., & Murray, E. (2016). Factors that influence the implementation of e-health: a systematic review of systematic reviews (an update). Implementation Science, 11(1). doi:10.1186/s13012-016-0510-7Allan, S., Bradstreet, S., Mcleod, H., Farhall, J., Lambrou, M., … Gleeson, J. (2019). Developing a Hypothetical Implementation Framework of Expectations for Monitoring Early Signs of Psychosis Relapse Using a Mobile App: Qualitative Study. Journal of Medical Internet Research, 21(10), e14366. doi:10.2196/14366Palmier-Claus, J. E., Rogers, A., Ainsworth, J., Machin, M., Barrowclough, C., Laverty, L., … Lewis, S. W. (2013). Integrating mobile-phone based assessment for psychosis into people’s everyday lives and clinical care: a qualitative study. BMC Psychiatry, 13(1). doi:10.1186/1471-244x-13-34Kannisto, K. A., Adams, C. E., Koivunen, M., Katajisto, J., & Va lima ki, M. (2015). Feedback on SMS reminders to encourage adherence among patients taking antipsychotic medication: a cross-sectional survey nested within a randomised trial. BMJ Open, 5(11), e008574-e008574. doi:10.1136/bmjopen-2015-008574Torous, J. B. (2018). Focusing on the Future of Mobile Mental Health and Smartphone Interventions. Psychiatric Services, 69(9), 945-945. doi:10.1176/appi.ps.201800308Bonet, L., Torous, J., Arce, D., Blanquer, I., & Sanjuán, J. (2020). ReMindCare , an app for daily clinical practice in patients with first episode psychosis: A pragmatic real‐world study protocol. Early Intervention in Psychiatry, 15(1), 183-192. doi:10.1111/eip.12960Endicott, J. (1976). The Global Assessment Scale. Archives of General Psychiatry, 33(6), 766. doi:10.1001/archpsyc.1976.01770060086012Cannon-Spoor, H. E., Potkin, S. G., & Wyatt, R. J. (1982). Measurement of Premorbid Adjustment in Chronic Schizophrenia. Schizophrenia Bulletin, 8(3), 470-484. doi:10.1093/schbul/8.3.470Greer, B., Robotham, D., Simblett, S., Curtis, H., Griffiths, H., & Wykes, T. (2019). Digital Exclusion Among Mental Health Service Users: Qualitative Investigation. Journal of Medical Internet Research, 21(1), e11696. doi:10.2196/11696Rus-Calafell, M., & Schneider, S. (2020). Are we there yet?!—a literature review of recent digital technology advances for the treatment of early psychosis. mHealth, 6, 3-3. doi:10.21037/mhealth.2019.09.14Choi, K. R., Heilemann, M. V., Fauer, A., & Mead, M. (2020). A Second Pandemic: Mental Health Spillover From the Novel Coronavirus (COVID-19). Journal of the American Psychiatric Nurses Association, 26(4), 340-343. doi:10.1177/107839032091980

ReMindCare, an app for daily clinical practice in patients with first episode psychosis: A pragmatic real-world study protocol

[EN] Aim Despite the potential benefits of e-health interventions for patients with psychosis, the integration of these applications into the clinical workflow and analysis of their long-term effects still face significant challenges. To address these issues, we developed the ReMindCare app. This app aims to improve the treatment quality for patients with psychosis. We chose to study the app in real world and pragmatic manner to ensure results will be generalizable. Methods This is a naturalistic empirical study of patients in a first episode of psychosis programme. The app was purpose-designed based on two previous studies, and it offers the following assessments: (a) three daily questions regarding anxiety, sadness and irritability; and (b) 18 weekly questions about medication adherence, medication side effects, medication attitudes and prodromal symptoms. The app offers preset alerts, reminders and the ability for patients to reach out to their clinicians. Data captured by the app are linked to the electronic medical record of the patient. Patients will use the app as part of their ongoing care for a maximum period of 5 years, and assessments will occur at baseline and at the end of the first, second and fifth years of app use. Results Recruitment started in October 2018 and is still ongoing. Conclusions The ReMindCare app represents early real-world use of digital mental health tools that offer direct integration into clinical care. High retention and compliance rates are expected, and this will in turn lead to improved quality of assessments and communication between patients and clinicians.Centro de Investigacion Biomedica en Red de Salud Mental; European Social Fund, Grant/Award Number: 2017/9830; Generalitat Valenciana, Grant/Award Number: PROMETEO/2016/082; Instituto de Salud Carlos III, Grant/Award Numbers: PI01399, PI13/00447, PI17/00402Bonet, L.; Torous, J.; Arce Grilo, AD.; Blanquer Espert, I.; Sanjuán, J. (2021). ReMindCare, an app for daily clinical practice in patients with first episode psychosis: A pragmatic real-world study protocol. Early Intervention in Psychiatry. 15(1):183-192. https://doi.org/10.1111/eip.12960S183192151Abbott, P. A., Foster, J., Marin, H. de F., & Dykes, P. C. (2014). Complexity and the science of implementation in health IT—Knowledge gaps and future visions. International Journal of Medical Informatics, 83(7), e12-e22. doi:10.1016/j.ijmedinf.2013.10.009American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders. doi:10.1176/appi.books.9780890425596Appelbaum, S. H., & Wohl, L. (2000). Transformation or change: some prescriptions for health care organizations. Managing Service Quality: An International Journal, 10(5), 279-298. doi:10.1108/09604520010345768Arango, C., Bernardo, M., Bonet, P., Cabrera, A., Crespo-Facorro, B., Cuesta, M. J., … Melau, M. (2017). Cuando la asistencia no sigue a la evidencia: el caso de la falta de programas de intervención temprana en psicosis en España. Revista de Psiquiatría y Salud Mental, 10(2), 78-86. doi:10.1016/j.rpsm.2017.01.001Arango C. Crespo‐Facorro B. Cuesta M. J. González‐Pinto A. Gutiérrez J. R. Lalucat L. &Sanjuán J. Libro blanco de la atención temprana en psicosis.2018. Available at:www.sepsiq.org/file/Enlaces/Libro%20blanco%20de%20la%20Intervenci%C3%B3n%20Temprana%20en%20Espa%C3%B1a%20(2018).pdfAref-Adib, G., O’Hanlon, P., Fullarton, K., Morant, N., Sommerlad, A., Johnson, S., & Osborn, D. (2016). A qualitative study of online mental health information seeking behaviour by those with psychosis. BMC Psychiatry, 16(1). doi:10.1186/s12888-016-0952-0Barnett, I., Torous, J., Staples, P., Sandoval, L., Keshavan, M., & Onnela, J.-P. (2018). Relapse prediction in schizophrenia through digital phenotyping: a pilot study. Neuropsychopharmacology, 43(8), 1660-1666. doi:10.1038/s41386-018-0030-zBaumel, A., Faber, K., Mathur, N., Kane, J. M., & Muench, F. (2017). Enlight: A Comprehensive Quality and Therapeutic Potential Evaluation Tool for Mobile and Web-Based eHealth Interventions. Journal of Medical Internet Research, 19(3), e82. doi:10.2196/jmir.7270Beck, A. (2004). A new instrument for measuring insight: the Beck Cognitive Insight Scale. Schizophrenia Research, 68(2-3), 319-329. doi:10.1016/s0920-9964(03)00189-0Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014). Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia. Schizophrenia Bulletin, 40(6), 1244-1253. doi:10.1093/schbul/sbu033Ben-Zeev, D., Kaiser, S. M., & Krzos, I. (2014). Remote «Hovering» With Individuals With Psychotic Disorders and Substance Use: Feasibility, Engagement, and Therapeutic Alliance With a Text-Messaging Mobile Interventionist. 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Mobile devices to improve breast cancer information management

[EN] Intuitive interfaces of mobile devices facilitate the introduction of structured data in breast cancer management, leading to an increase of completeness and accuracy of diagnosis and follow-up evaluations, as well as opening the door for more effective content-based retrieval techniques for clinical decision support.Segrelles Quilis, JD.; Gimenez Fayos, M.; Blanquer Espert, I. (2013). Mobile devices to improve breast cancer information management. Ercim News. (93):45-45. http://hdl.handle.net/10251/74945S45459

Gestión de Infraestructuras Virtuales Docentes en Asignaturas con Requisitos Computacionales

[ES] Este artículo resume las experiencias llevadas a cabo en asignaturas del Máster Universitario en Computación Paralela y Distribuida (MUCPD) de la Universitat Politècnica de València (UPV) relativas a la gestión de infraestructuras computacionales virtuales en la nube para la realización de actividades prácticas. La diversidad de infraestructuras de cómputo necesarias para formar a los alumnos en las diferentes tecnologías precisó de usar herramientas de despliegue automatizado de dichas infraestructuras usando técnicas y plataformas de Cloud Computing. Esto permitió la creación de clusters de PCs, infraestructuras Grid de prueba y laboratorios de prácticas remotos de forma virtualizada, sobre plataformas Cloud propias y sobre Amazon Web Services (AWS). Para ello se utilizó la herramienta Infrastructure Manager (IM), desarrollada por los autores y puesta a disposición de la comunidad académica. Los resultados indican una mayor facilidad de uso para los profesores, diversidad de plataformas para los alumnos y un mejor aprovechamiento de los recursos de cómputo para la institución educativa.[EN] This paper summarizes the experiences carried out in different subjects of the Master’s Degree in Parallel and Distributed Computing of the Universitat Polit`ecnica de Val`encia related to the management of virtualized computational infrastructures in the Cloud to perform lab activities. The diversity of computing infrastructures required to train the students in the different technologies, demanded the usage of automated infrastructure deployment tools using Cloud Computing platforms and techniques. These enabled to create clusters of PCs, Grid infrastructure testbeds and remote labs in a virtualized fashion on on-premise Cloud platforms and Amazon Web Services (AWS). For that, the Infrastructure Manager (IM) tool was employed, developed by the authors and released to the academic community. The results indicate a greater ease of usage for professors, a wide variety of platforms for students and a better usage of computational resources for the educational institution.Moltó Martínez, G.; Segrelles Quilis, JD.; Caballer, M.; Blanquer Espert, I. (2014). Gestión de Infraestructuras Virtuales Docentes en Asignaturas con Requisitos Computacionales. En Jornadas de Innovación Educativa y docencia en Red de la Universitat Politècnica de València. Editorial Universitat Politècnica de València. 151-165. http://hdl.handle.net/10251/66238S15116