Applying Recommendations to Align Competences, Methodology, and Assessment in Telematics, Computing, and Electronic Engineering Courses

The alignment between competences, teachinglearning methodologies, and assessment is a key element of European higher education. This paper presents the efforts carried out by six telematics, computer science and electronic engineering education teachers toward achieving this alignment in their subjects. In a joint work with pedagogues, a set of recommended actions are identified. A selection of these actions are applied and evaluated in the six subjects. The cross analysis of the results indicates that the actions allow students to better understand the methodologies and assessments planned for the subjects, facilitate (self-) regulation, and increase students’ involvement in the subjects

Quantifying visible land degradation of saline wetlands in an arid region of NE Spain

5 Pags.- 3 Figs. Paper # 4_18 in: Á. Faz, R. Ortiz, G. García (Eds.) 2004. Extended abstracts in CDRom. 4th Internat. Conference on Land Degradation. 12-17 September, Cartagena, Spain. ISBN: 84-95781-40-9.This Paper aims to study the present status of the saladas and to quantify their visible degradation with the help of a Geographical Information System (GIS). For this purpose we analyze the changes that have occurred in the last decades and we establish indices to evaluate the condition of the saladas in terms of conservation status and vulnerability.Peer reviewe

Robustness and findings of a web-based system for depression assessment in a university work context

[EN] Depression is associated with absenteeism and presentism, problems in workplace relationships and loss of productivity and quality. The present work describes the validation of a web-based system for the assessment of depression in the university work context. The basis of the system is the Spanish version of the Beck Depression Inventory (BDI-II). A total of 185 participants completed the BDI-II web-based assessment, including 88 males and 97 females, 70 faculty members and 115 staff members. A high level of internal consistency reliability was confirmed. Based on the results of our web-based BDI-II, no significant differences were found in depression severity between gender, age or workers' groups. The main depression risk factors reported were: Changes in sleep, Loss of energy, Tiredness or fatigue and Loss of interest. However significant differences were found by gender in Changes in appetite, Difficulty of concentration and Loss of interest in sex; males expressed less loss of interest in sex than females with a statistically significant difference. Our results indicate that the data collected is coherent with previous BDI-II studies. We conclude that the web-based system based on the BDI-II is psychometrically robust and can be used to assess depression in the university working community.Funding for this study was provided by the authors' various departments, and partially by the CrowdHealth Project (Collective Wisdom Driving Public Health Policies [727560]), the MTS4up project (DPI2016-80054-R) and patient-centered pathways of early palliative care, supportive ecosystems and appraisal standard (825750).Asensio-Cuesta, S.; Bresó, A.; Sáez Silvestre, C.; Garcia-Gomez, JM. (2019). Robustness and findings of a web-based system for depression assessment in a university work context. International Journal of Environmental research and Public Health. 16(4):1-17. https://doi.org/10.3390/ijerph16040644S117164Depression [Internet]. World Health Organization http://www.who.int/mediacentre/factsheets/fs369/en/Chang, S. M., Hong, J.-P., & Cho, M. J. (2011). Economic burden of depression in South Korea. Social Psychiatry and Psychiatric Epidemiology, 47(5), 683-689. doi:10.1007/s00127-011-0382-8Greenberg, P. E., Fournier, A.-A., Sisitsky, T., Pike, C. T., & Kessler, R. C. (2015). The Economic Burden of Adults With Major Depressive Disorder in the United States (2005 and 2010). The Journal of Clinical Psychiatry, 76(02), 155-162. doi:10.4088/jcp.14m09298Health and Safety at Work in Europe (1999–2007): A Statistical Portrait. Luxembourg. Publications Office of the European Union https://ec.europa.eu/eurostat/documents/3217494/5718905/KS-31-09-290-EN.PDF/88eef9f7-c229-40de-b1cd-43126bc4a946Lee, Y., Rosenblat, J. D., Lee, J., Carmona, N. E., Subramaniapillai, M., Shekotikhina, M., … McIntyre, R. S. (2018). Efficacy of antidepressants on measures of workplace functioning in major depressive disorder: A systematic review. Journal of Affective Disorders, 227, 406-415. doi:10.1016/j.jad.2017.11.003Schmidt, S., Roesler, U., Kusserow, T., & Rau, R. (2012). Uncertainty in the workplace: Examining role ambiguity and role conflict, and their link to depression—a meta-analysis. European Journal of Work and Organizational Psychology, 23(1), 91-106. doi:10.1080/1359432x.2012.711523Cuijpers, P., & Smit, F. (2004). Subthreshold depression as a risk indicator for major depressive disorder: a systematic review of prospective studies. Acta Psychiatrica Scandinavica, 109(5), 325-331. doi:10.1111/j.1600-0447.2004.00301.xRihmer, Z. (2001). Can better recognition and treatment of depression reduce suicide rates? A brief review. European Psychiatry, 16(7), 406-409. doi:10.1016/s0924-9338(01)00598-3Nogueira-Martins, L. A., Fagnani Neto, R., Macedo, P. C. M., Cítero, V. A., & Mari, J. J. (2004). The mental health of graduate students at the Federal University of São Paulo: a preliminary report. Brazilian Journal of Medical and Biological Research, 37(10), 1519-1524. doi:10.1590/s0100-879x2004001000011Ibrahim, A. K., Kelly, S. J., Adams, C. E., & Glazebrook, C. (2013). A systematic review of studies of depression prevalence in university students. Journal of Psychiatric Research, 47(3), 391-400. doi:10.1016/j.jpsychires.2012.11.015Levecque, K., Anseel, F., De Beuckelaer, A., Van der Heyden, J., & Gisle, L. (2017). Work organization and mental health problems in PhD students. Research Policy, 46(4), 868-879. doi:10.1016/j.respol.2017.02.008Zhong, J., You, J., Gan, Y., Zhang, Y., Lu, C., & Wang, H. (2009). Job Stress, Burnout, Depression Symptoms, and Physical Health among Chinese University Teachers. Psychological Reports, 105(3_suppl), 1248-1254. doi:10.2466/pr0.105.f.1248-1254The International Test Commission. (2006). International Guidelines on Computer-Based and Internet-Delivered Testing. International Journal of Testing, 6(2), 143-171. doi:10.1207/s15327574ijt0602_4Reevy, G. M., & Deason, G. (2014). Predictors of depression, stress, and anxiety among non-tenure track faculty. Frontiers in Psychology, 5. doi:10.3389/fpsyg.2014.00701McLean, L., & Connor, C. M. (2015). Depressive Symptoms in Third‐Grade Teachers: Relations to Classroom Quality and Student Achievement. Child Development, 86(3), 945-954. doi:10.1111/cdev.12344Griffiths, K. M., Christensen, H., Jorm, A. F., Evans, K., & Groves, C. (2004). Effect of web-based depression literacy and cognitive–behavioural therapy interventions on stigmatising attitudes to depression. British Journal of Psychiatry, 185(4), 342-349. doi:10.1192/bjp.185.4.342HASLAM, C., ATKINSON, S., BROWN, S., & HASLAM, R. (2005). Anxiety and depression in the workplace: Effects on the individual and organisation (a focus group investigation). Journal of Affective Disorders, 88(2), 209-215. doi:10.1016/j.jad.2005.07.009Finkelstein, J., & Lapshin, O. (2007). Reducing depression stigma using a web-based program. International Journal of Medical Informatics, 76(10), 726-734. doi:10.1016/j.ijmedinf.2006.07.004BECK, A. T. (1961). An Inventory for Measuring Depression. Archives of General Psychiatry, 4(6), 561. doi:10.1001/archpsyc.1961.01710120031004Montgomery, S. A., & Åsberg, M. (1979). A New Depression Scale Designed to be Sensitive to Change. British Journal of Psychiatry, 134(4), 382-389. doi:10.1192/bjp.134.4.382Kroenke, K., Spitzer, R. L., Williams, J. B. W., & Löwe, B. (2010). The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: a systematic review. General Hospital Psychiatry, 32(4), 345-359. doi:10.1016/j.genhosppsych.2010.03.006ZUNG, W. W. K. (1965). A Self-Rating Depression Scale. Archives of General Psychiatry, 12(1), 63. doi:10.1001/archpsyc.1965.01720310065008Ginting, H., Näring, G., van der Veld, W. M., Srisayekti, W., & Becker, E. S. (2013). Validating the Beck Depression Inventory-II in Indonesia’s general population and coronary heart disease patients. International Journal of Clinical and Health Psychology, 13(3), 235-242. doi:10.1016/s1697-2600(13)70028-0Kojima, M., Furukawa, T. A., Takahashi, H., Kawai, M., Nagaya, T., & Tokudome, S. (2002). Cross-cultural validation of the Beck Depression Inventory-II in Japan. Psychiatry Research, 110(3), 291-299. doi:10.1016/s0165-1781(02)00106-3Kapci, E. G., Uslu, R., Turkcapar, H., & Karaoglan, A. (2008). Beck Depression Inventory II: evaluation of the psychometric properties and cut-off points in a Turkish adult population. Depression and Anxiety, 25(10), E104-E110. doi:10.1002/da.20371Aratake, Y., Tanaka, K., Wada, K., Watanabe, M., Katoh, N., Sakata, Y., & Aizawa, Y. (2007). Development of Japanese Version of the Checklist Individual Strength Questionnaire in a Working Population. Journal of Occupational Health, 49(6), 453-460. doi:10.1539/joh.49.453Kühner, C., Bürger, C., Keller, F., & Hautzinger, M. (2007). Reliabilität und Validität des revidierten Beck-Depressionsinventars (BDI-II). Der Nervenarzt, 78(6), 651-656. doi:10.1007/s00115-006-2098-7Holländare, F., Andersson, G., & Engström, I. (2010). A Comparison of Psychometric Properties Between Internet and Paper Versions of Two Depression Instruments (BDI-II and MADRS-S) Administered to Clinic Patients. Journal of Medical Internet Research, 12(5), e49. doi:10.2196/jmir.1392Potential of the Internet for Personality Research https://www.sciencedirect.com/science/article/pii/B978012099980450006XCarlbring, P., Brunt, S., Bohman, S., Austin, D., Richards, J., Öst, L.-G., & Andersson, G. (2007). Internet vs. paper and pencil administration of questionnaires commonly used in panic/agoraphobia research. Computers in Human Behavior, 23(3), 1421-1434. doi:10.1016/j.chb.2005.05.002Schulenberg, S. E., & Yutrzenka, B. A. (2001). Equivalence of computerized and conventional versions of the Beck Depression Inventory-II (BDI-II). Current Psychology, 20(3), 216-230. doi:10.1007/s12144-001-1008-

A Game-Theory method to design job rotation schedules to prevent musculoskeletal disorders Based on workers preferences and competencies

[EN] Job rotation is an organizational strategy based on the systematic exchange of workers between jobs in a planned manner according to specific criteria. This study presents the GS-Rot method, a method based on Game Theory, in order to design job rotation schedules by considering not only workers' job preferences, but also the competencies required for different jobs. With this approach, we promote workers' active participation in the design of the rotation plan. It also let us deal with restrictions in assigning workers to job positions according to their disabilities (temporal or permanent). The GS-Rot method has been implemented online and applied to a case in a work environment characterized by the presence of a high repetition of movements, which is a significant risk factor associated with work-related musculoskeletal disorders (WMSDs). A total of 17 workstations and 17 workers were involved in the rotation, four of them with physical/psychological limitations. Feasible job rotation schedules were obtained in a short time (average time 27.4 milliseconds). The results indicate that in the rotations driven by preference priorities, almost all the workers (94.11%) were assigned to one of their top five preferences. Likewise, 48.52% of job positions were assigned to workers in their top five of their competence lists. When jobs were assigned according to competence, 58.82% of workers got an assignment among their top five competence lists. Furthermore, 55.87% of the workers achieved jobs in their top five preferences. In both rotation scenarios, the workers varied performed jobs, and fatigue accumulation was balanced among them. The GS-Rot method achieved feasible and uniform solutions regarding the workers' exposure to job repetitiveness.This research was funded by the Erasmus+ program of the European Commission under Grant 2017-1-ES01-KA203-038589 in the frame of the project CoSki21-Core Skills for 21th-century professionals.Asensio-Cuesta, S.; Garcia-Gomez, JM.; Poza-Lujan, J.; Conejero, JA. (2019). A Game-Theory method to design job rotation schedules to prevent musculoskeletal disorders Based on workers preferences and competencies. International Journal of Environmental research and Public Health. 16(23):1-16. https://doi.org/10.3390/ijerph16234666S1161623Aptel, M., Cail, F., Gerling, A., & Louis, O. (2008). Proposal of parameters to implement a workstation rotation system to protect against MSDs. International Journal of Industrial Ergonomics, 38(11-12), 900-909. doi:10.1016/j.ergon.2008.02.006Jeon, I. S., Jeong, B. Y., & Jeong, J. H. (2016). Preferred 11 different job rotation types in automotive company and their effects on productivity, quality and musculoskeletal disorders: comparison between subjective and actual scores by workers’ age. Ergonomics, 59(10), 1318-1326. doi:10.1080/00140139.2016.1140816Botti, L., Mora, C., & Calzavara, M. (2017). Design of job rotation schedules managing the exposure to age-related risk factors. IFAC-PapersOnLine, 50(1), 13993-13997. doi:10.1016/j.ifacol.2017.08.2420Sixth European Working Conditions Survey-6th EWCS-Spainhttps://www.eurofound.europa.eu/surveys/european-working-conditions-surveys/sixth-european-working-conditions-survey-2015/ewcs-2015-methodologyAsensio-Cuesta, S., Diego-Mas, J. A., Canós-Darós, L., & Andrés-Romano, C. (2011). A genetic algorithm for the design of job rotation schedules considering ergonomic and competence criteria. The International Journal of Advanced Manufacturing Technology, 60(9-12), 1161-1174. doi:10.1007/s00170-011-3672-0Yoon, S.-Y., Ko, J., & Jung, M.-C. (2016). A model for developing job rotation schedules that eliminate sequential high workloads and minimize between-worker variability in cumulative daily workloads: Application to automotive assembly lines. Applied Ergonomics, 55, 8-15. doi:10.1016/j.apergo.2016.01.011Otto, A., & Scholl, A. (2012). Reducing ergonomic risks by job rotation scheduling. OR Spectrum, 35(3), 711-733. doi:10.1007/s00291-012-0291-6Carnahan, B. J., Redfern, M. S., & Norman, B. (2000). Designing safe job rotation schedules using optimization and heuristic search. Ergonomics, 43(4), 543-560. doi:10.1080/001401300184404Song, J., Lee, C., Lee, W., Bahn, S., Jung, C., & Yun, M. H. (2016). Development of a job rotation scheduling algorithm for minimizing accumulated work load per body parts. Work, 53(3), 511-521. doi:10.3233/wor-152232Boenzi, F., Digiesi, S., Facchini, F., & Mummolo, G. (2016). Ergonomic improvement through job rotations in repetitive manual tasks in case of limited specialization and differentiated ergonomic requirements. IFAC-PapersOnLine, 49(12), 1667-1672. doi:10.1016/j.ifacol.2016.07.820Sana, S. S., Ospina-Mateus, H., Arrieta, F. G., & Chedid, J. A. (2018). Application of genetic algorithm to job scheduling under ergonomic constraints in manufacturing industry. Journal of Ambient Intelligence and Humanized Computing, 10(5), 2063-2090. doi:10.1007/s12652-018-0814-3Burgess-Limerick, R. (2018). Participatory ergonomics: Evidence and implementation lessons. Applied Ergonomics, 68, 289-293. doi:10.1016/j.apergo.2017.12.009Bhuiyan, B. A. (2018). An Overview of Game Theory and Some Applications. Philosophy and Progress, 111-128. doi:10.3329/pp.v59i1-2.36683Gale, D., & Shapley, L. S. (1962). College Admissions and the Stability of Marriage. The American Mathematical Monthly, 69(1), 9-15. doi:10.1080/00029890.1962.11989827Roth, A. E. (2008). What Have We Learned from Market Design? The Economic Journal, 118(527), 285-310. doi:10.1111/j.1468-0297.2007.02121.xRoth, A. E., & Sotomayor, M. (1992). Chapter 16 Two-sided matching. Handbook of Game Theory with Economic Applications, 485-541. doi:10.1016/s1574-0005(05)80019-0Renna, P. (2017). Decision-making method of reconfigurable manufacturing systems’ reconfiguration by a Gale-Shapley model. Journal of Manufacturing Systems, 45, 149-158. doi:10.1016/j.jmsy.2017.09.005Butkovič, P., & Lewis, S. (2007). On the job rotation problem. Discrete Optimization, 4(2), 163-174. doi:10.1016/j.disopt.2006.11.00

Novel nickel nanoparticles stabilized by imidazolium-amidinate ligands for selective hydrogenation of alkynes

[EN] The main challenge in the hydrogenation of alkynes into (E)- or (Z)-alkenes is to control the selective formation of the alkene, avoiding the over-reduction to the corresponding alkane. In addition, the preparation of recoverable and reusable catalysts is of high interest. In this work, we report novel nickel nanoparticles (Ni NPs) stabilized by three different imidazolium-amidinate ligands (ICy center dot(NCN)-N-(Ar); L1: Ar = p-tol, L2: Ar = p-anisyl and L3: Ar = p-ClC6H4). The as-prepared Ni NPs were fully characterized by (HR)-TEM, XRD, WASX, XPS and VSM. The nanocatalysts are active in the hydrogenation of various substrates. They present a remarkable selectivity in the hydrogenation of alkynes towards (Z)-alkenes, particularly in the hydrogenation of 3-hexyne into (Z)-3-hexene under mild reaction conditions (room temperature, 3% mol Ni and 1 bar H-2). The catalytic behaviour of Ni NPs was influenced by the electron donor/acceptor groups (-Me, -OMe, -Cl) in the N-aryl substituents of the amidinate moiety of the ligands. Due to the magnetic character of the Ni NPs, recycling experiments were successfully performed after decantation in the presence of an external magnet, which allowed us to recover and reuse these catalysts at least 3 times preserving both activity and chemoselectivity.The authors thank CNRS, UPS-Toulouse, INSA, "IDEX/Chaires d'attractivite l'Universite Federale Toulouse Midi-Pyrenees", "Instituto de Tecnologia Quimica" (ITQ; UPV-CSIC), "Juan de la Cierva" programme (IJCI-2016-27966), "Primero Proyectos de Investigacion" (PAID-06-18), "Instituto de Investigaciones Quimicas" (IIQ; CSIC-US), "Ministerio de Ciencia, Innovacion y Universidades" (MCIU/AEI), FEDER funds of the European Union (PGC2018-095768-B-I00) and ERC Advanced Grant (MONACAT 2015-694159) for financial support. We also thank L. Datas for the TEM facilities (UMS Castaing) and S. Cayez for the HRTEM measurements.López-Vinasco, AM.; Martínez-Prieto, LM.; Asensio, JM.; Lecante, P.; Chaudret, B.; Cámpora, J.; Van Leeuwen, PWNM. (2020). Novel nickel nanoparticles stabilized by imidazolium-amidinate ligands for selective hydrogenation of alkynes. Catalysis Science & Technology. 10(2):342-350. https://doi.org/10.1039/c9cy02172hS342350102Swamy, K. C. K., Reddy, A. S., Sandeep, K., & Kalyani, A. (2018). Advances in chemoselective and/or stereoselective semihydrogenation of alkynes. Tetrahedron Letters, 59(5), 419-429. doi:10.1016/j.tetlet.2017.12.057Lei, J., Su, L., Zeng, K., Chen, T., Qiu, R., Zhou, Y., … Yin, S.-F. (2017). Recent advances of catalytic processes on the transformation of alkynes into functional compounds. Chemical Engineering Science, 171, 404-425. doi:10.1016/j.ces.2017.05.021J. G. de Vries and C. J.Elsevier , The Handbook of Homogeneous Hydrogenation , Wiley-VCH , 2008Albani, D., Shahrokhi, M., Chen, Z., Mitchell, S., Hauert, R., López, N., & Pérez-Ramírez, J. (2018). Selective ensembles in supported palladium sulfide nanoparticles for alkyne semi-hydrogenation. Nature Communications, 9(1). doi:10.1038/s41467-018-05052-4Chinchilla, R., & Nájera, C. (2013). Chemicals from Alkynes with Palladium Catalysts. Chemical Reviews, 114(3), 1783-1826. doi:10.1021/cr400133pLópez, N., & Vargas-Fuentes, C. (2012). Promoters in the hydrogenation of alkynes in mixtures: insights from density functional theory. Chem. Commun., 48(10), 1379-1391. doi:10.1039/c1cc14922aCrespo-Quesada, M., Cárdenas-Lizana, F., Dessimoz, A.-L., & Kiwi-Minsker, L. (2012). Modern Trends in Catalyst and Process Design for Alkyne Hydrogenations. ACS Catalysis, 2(8), 1773-1786. doi:10.1021/cs300284rMolnár, Á., Sárkány, A., & Varga, M. (2001). Hydrogenation of carbon–carbon multiple bonds: chemo-, regio- and stereo-selectivity. Journal of Molecular Catalysis A: Chemical, 173(1-2), 185-221. doi:10.1016/s1381-1169(01)00150-9Lindlar, H. (1952). Ein neuer Katalysator für selektive Hydrierungen. Helvetica Chimica Acta, 35(2), 446-450. doi:10.1002/hlca.19520350205Delgado, J. A., Benkirane, O., Claver, C., Curulla-Ferré, D., & Godard, C. (2017). Advances in the preparation of highly selective nanocatalysts for the semi-hydrogenation of alkynes using colloidal approaches. Dalton Transactions, 46(37), 12381-12403. doi:10.1039/c7dt01607gK. Philippot and P.Serp , Nanomaterials in Catalysis , Wiley-VCH , Weinheim , 2013D. Astruc , Nanoparticles and Catalysis , Wiley-VCH , Weinheim , 2008U. Heiz and U.Landman , Nanocatalysis , Springer , Berlin , 2007Vilé, G., Almora-Barrios, N., Mitchell, S., López, N., & Pérez-Ramírez, J. (2014). From the Lindlar Catalyst to Supported Ligand-Modified Palladium Nanoparticles: Selectivity Patterns and Accessibility Constraints in the Continuous-Flow Three-Phase Hydrogenation of Acetylenic Compounds. Chemistry - A European Journal, 20(20), 5926-5937. doi:10.1002/chem.201304795Witte, P. T., Boland, S., Kirby, F., van Maanen, R., Bleeker, B. F., de Winter, D. A. M., … Berben, P. H. (2012). NanoSelect Pd Catalysts: What Causes the High Selectivity of These Supported Colloidal Catalysts in Alkyne Semi-Hydrogenation? ChemCatChem, 5(2), 582-587. doi:10.1002/cctc.201200460La Sorella, G., Sperni, L., Canton, P., Coletti, L., Fabris, F., Strukul, G., & Scarso, A. (2018). Selective Hydrogenations and Dechlorinations in Water Mediated by Anionic Surfactant-Stabilized Pd Nanoparticles. The Journal of Organic Chemistry, 83(14), 7438-7446. doi:10.1021/acs.joc.8b00314Nikoshvili, L. Z., Bykov, A. V., Khudyakova, T. E., LaGrange, T., Héroguel, F., Luterbacher, J. S., … Kiwi-Minsker, L. (2017). Promotion Effect of Alkali Metal Hydroxides on Polymer-Stabilized Pd Nanoparticles for Selective Hydrogenation of C–C Triple Bonds in Alkynols. Industrial & Engineering Chemistry Research, 56(45), 13219-13227. doi:10.1021/acs.iecr.7b01612Reina, A., Favier, I., Pradel, C., & Gómez, M. (2018). Stable Zero-Valent Nickel Nanoparticles in Glycerol: Synthesis and Applications in Selective Hydrogenations. Advanced Synthesis & Catalysis, 360(18), 3544-3552. doi:10.1002/adsc.201800786De los Bernardos, M. D., Pérez-Rodríguez, S., Gual, A., Claver, C., & Godard, C. (2017). Facile synthesis of NHC-stabilized Ni nanoparticles and their catalytic application in the Z-selective hydrogenation of alkynes. Chemical Communications, 53(56), 7894-7897. doi:10.1039/c7cc01779kWen, X., Shi, X., Qiao, X., Wu, Z., & Bai, G. (2017). Ligand-free nickel-catalyzed semihydrogenation of alkynes with sodium borohydride: a highly efficient and selective process for cis-alkenes under ambient conditions. Chemical Communications, 53(39), 5372-5375. doi:10.1039/c7cc02140bKonnerth, H., & Prechtl, M. H. G. (2016). Selective partial hydrogenation of alkynes to (Z)-alkenes with ionic liquid-doped nickel nanocatalysts at near ambient conditions. Chemical Communications, 52(58), 9129-9132. doi:10.1039/c6cc00499gCarenco, S., Leyva-Pérez, A., Concepción, P., Boissière, C., Mézailles, N., Sanchez, C., & Corma, A. (2012). Nickel phosphide nanocatalysts for the chemoselective hydrogenation of alkynes. Nano Today, 7(1), 21-28. doi:10.1016/j.nantod.2011.12.003Polshettiwar, V., Baruwati, B., & Varma, R. S. (2009). Nanoparticle-supported and magnetically recoverable nickel catalyst: a robust and economic hydrogenation and transfer hydrogenation protocol. Green Chem., 11(1), 127-131. doi:10.1039/b815058cAlonso, F., Osante, I., & Yus, M. (2007). Highly selective hydrogenation of multiple carbon–carbon bonds promoted by nickel(0) nanoparticles. Tetrahedron, 63(1), 93-102. doi:10.1016/j.tet.2006.10.043Rossi, L. M., Costa, N. J. S., Silva, F. P., & Wojcieszak, R. (2014). Magnetic nanomaterials in catalysis: advanced catalysts for magnetic separation and beyond. Green Chemistry, 16(6), 2906. doi:10.1039/c4gc00164hMartínez-Prieto, L. M., & Chaudret, B. (2018). Organometallic Ruthenium Nanoparticles: Synthesis, Surface Chemistry, and Insights into Ligand Coordination. Accounts of Chemical Research, 51(2), 376-384. doi:10.1021/acs.accounts.7b00378Martínez-Prieto, L. M., Baquero, E. A., Pieters, G., Flores, J. C., de Jesús, E., Nayral, C., … Chaudret, B. (2017). Monitoring of nanoparticle reactivity in solution: interaction of l-lysine and Ru nanoparticles probed by chemical shift perturbation parallels regioselective H/D exchange. Chemical Communications, 53(43), 5850-5853. doi:10.1039/c7cc02445bMartínez-Prieto, L. M., Rakers, L., López-Vinasco, A. M., Cano, I., Coppel, Y., Philippot, K., … van Leeuwen, P. W. N. M. (2017). Soluble Platinum Nanoparticles Ligated by Long-Chain N-Heterocyclic Carbenes as Catalysts. Chemistry - A European Journal, 23(52), 12779-12786. doi:10.1002/chem.201702288Asensio, J. M., Tricard, S., Coppel, Y., Andrés, R., Chaudret, B., & de Jesús, E. (2016). Knight Shift in 13 C NMR Resonances Confirms the Coordination of N‐Heterocyclic Carbene Ligands to Water‐Soluble Palladium Nanoparticles. Angewandte Chemie International Edition, 56(3), 865-869. doi:10.1002/anie.201610251Martínez-Prieto, L. M., Urbaneja, C., Palma, P., Cámpora, J., Philippot, K., & Chaudret, B. (2015). A betaine adduct of N-heterocyclic carbene and carbodiimide, an efficient ligand to produce ultra-small ruthenium nanoparticles. Chemical Communications, 51(22), 4647-4650. doi:10.1039/c5cc00211gMartínez-Prieto, L. M., Cano, I., Márquez, A., Baquero, E. A., Tricard, S., Cusinato, L., … van Leeuwen, P. W. N. M. (2017). Zwitterionic amidinates as effective ligands for platinum nanoparticle hydrogenation catalysts. Chemical Science, 8(4), 2931-2941. doi:10.1039/c6sc05551fBiju, V., & Abdul Khadar, M. (2002). Journal of Nanoparticle Research, 4(3), 247-253. doi:10.1023/a:1019949805751Van Veenendaal, M. A., & Sawatzky, G. A. (1993). Nonlocal screening effects in 2px-ray photoemission spectroscopy core-level line shapes of transition metal compounds. Physical Review Letters, 70(16), 2459-2462. doi:10.1103/physrevlett.70.2459Vedrine, J. C., Hollinger, G., & Tran Minh Duc. (1978). Investigations of antigorite and nickel supported catalysts by x-ray photoelectron spectroscopy. The Journal of Physical Chemistry, 82(13), 1515-1520. doi:10.1021/j100502a011Delgado, D., Sanchís, R., Cecilia, J. A., Rodríguez-Castellón, E., Caballero, A., Solsona, B., & Nieto, J. M. L. (2019). Support effects on NiO-based catalysts for the oxidative dehydrogenation (ODH) of ethane. Catalysis Today, 333, 10-16. doi:10.1016/j.cattod.2018.07.010D. Jiles , Introduction to Magnetism and Magnetic Materials , Chapman and Hall , London , 1991Kaiser, R., & Miskolczy, G. (1970). Magnetic Properties of Stable Dispersions of Subdomain Magnetite Particles. Journal of Applied Physics, 41(3), 1064-1072. doi:10.1063/1.1658812Billas, I. M. L., Châtelain, A., & de Heer, W. A. (1994). Magnetism from the Atom to the Bulk in Iron, Cobalt, and Nickel Clusters. Science, 265(5179), 1682-1684. doi:10.1126/science.265.5179.1682Cordente, N., Amiens, C., Chaudret, B., Respaud, M., Senocq, F., & Casanove, M.-J. (2003). Chemisorption on nickel nanoparticles of various shapes: Influence on magnetism. Journal of Applied Physics, 94(10), 6358-6365. doi:10.1063/1.1621081Nogués, J., & Schuller, I. K. (1999). Exchange bias. Journal of Magnetism and Magnetic Materials, 192(2), 203-232. doi:10.1016/s0304-8853(98)00266-

A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity

[EN] The objective of this study was to assess the feasibility of using a user-centered chatbotfor collecting linked data to study overweight and obesity causes ina target population. In total 980 people participated in the feasibility study organized in three studies: (1) within a group of university students (88 participants), (2) in a small town (422 participants), and (3) within a university community (470 participants). We gathered self-reported data through the Wakamola chatbot regarding participants diet, physical activity, social network, living area, obesity-associated diseases, and sociodemographic data. For each study, we calculated the mean Body Mass Index (BMI) and number of people in each BMI level. Also, we defined and calculated scores (1-100 scale) regarding global health, BMI, alimentation, physical activity and social network. Moreover, we graphically represented obesity risk for living areas and the social network with nodes colored by BMI. Students group results: Mean BMI 21.37 (SD 2.57) (normal weight), 8 people underweight, 5 overweight, 0 obesity, global health status 78.21, alimentation 63.64, physical activity 65.08 and social 26.54, 3 areas with mean BMI level of obesity, 17 with overweight level. Small town ' s study results: Mean BMI 25.66 (SD 4.29) (overweight), 2 people underweight, 63 overweight, 26 obesity, global health status 69.42, alimentation 64.60, physical activity 60.61 and social 1.14, 1 area with mean BMI in normal weight; University ' s study results: Mean BMI 23.63 (SD 3.7) (normal weight), 22 people underweight, 86 overweight, 28 obesity, global health status 81.03, alimentation 81.84, physical activity 70.01 and social 1.47, 3 areas in obesity level, 19 in overweight level. Wakamola is a health care chatbot useful to collect relevant data from populations in the risk of overweight and obesity. Besides, the chatbot provides individual self-assessment of BMI and general status regarding the style of living. Moreover, Wakamola connects users in a social network to help the study of O & O ' s causes from an individual, social and socio-economic perspective.Funding for this study was provided by the authors' various departments, and partially by the Crowd Health Project (Collective Wisdom Driving Public Health Policies [727560]).Asensio-Cuesta, S.; Blanes-Selva, V.; Conejero, JA.; Portolés, M.; Garcia-Gomez, JM. (2022). A user-centered chatbot to identify and interconnect individual, social and environmental risk factors related to overweight and obesity. Informatics for Health and Social Care. 47(1):38-52. https://doi.org/10.1080/17538157.2021.1923501385247

User-centred design of a clinical decision support system for palliative care: Insights from healthcare professionals

[EN] Objective:Although clinical decision support systems (CDSS) have many benefits for clinical practice, they also have several barriers to their acceptance by professionals. Our objective in this study was to design and validate The Aleph palliative care (PC) CDSS through a user-centred method, considering the predictions of the artificial intelligence (AI) core, usability and user experience (UX). Methods:We performed two rounds of individual evaluation sessions with potential users. Each session included a model evaluation, a task test and a usability and UX assessment. Results:The machine learning (ML) predictive models outperformed the participants in the three predictive tasks. System Usability Scale (SUS) reported 62.7 +/- 14.1 and 65 +/- 26.2 on a 100-point rating scale for both rounds, respectively, while User Experience Questionnaire - Short Version (UEQ-S) scores were 1.42 and 1.5 on the -3 to 3 scale. Conclusions:The think-aloud method and including the UX dimension helped us to identify most of the workflow implementation issues. The system has good UX hedonic qualities; participants were interested in the tool and responded positively to it. Performance regarding usability was modest but acceptable.The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the InAdvance project (H2020-SC1-BHC-2018¿2020 grant number 825750) and the CANCERLESS project (H2020-SC1-2020-Single-Stage-RTD grant number 965351), both funded by the European Union¿s Horizon 2020 research and innovation programme. Also, it was partially supported by the ALBATROSS project (National Plan for Scientific and Technical Research and Innovation 2017¿ 2020, grant number PID2019-104978RB-I00)Blanes-Selva, V.; Asensio-Cuesta, S.; Doñate-Martínez, A.; Pereira Mesquita, F.; Garcia-Gomez, JM. (2023). User-centred design of a clinical decision support system for palliative care: Insights from healthcare professionals. Digital Health. 9:1-13. https://doi.org/10.1177/20552076221150735113

Artificial intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters

Having artificial agents to autonomously produce human-like behaviour is one of the most ambitious original goals of Artificial Intelligence (AI) and remains an open problem nowadays. The imitation game originally proposed by Turing constitute a very effective method to prove the indistinguishability of an artificial agent. The behaviour of an agent is said to be indistinguishable from that of a human when observers (the so-called judges in the Turing test) can not tell apart humans and non-human agents. Different environments, testing protocols, scopes and problem domains can be established to develop limited versions or variants of the original Turing test. In this paper we use a specific version of the Turing test, based on the international BotPrize competition, built in a First-Person Shooter video game, where both human players and non-player characters interact in complex virtual environments. Based on our past experience both in the BotPrize competition and other robotics and computer game AI applications we have developed three new more advanced controllers for believable agents: two based on a combination of the CERA-CRANIUM and SOAR cognitive architectures and other based on ADANN, a system for the automatic evolution and adaptation of artificial neural networks. These two new agents have been put to the test jointly with CCBot3, the winner of BotPrize 2010 competition [1], and have showed a significant improvement in the humanness ratio. Additionally, we have confronted all these bots to both First-person believability assessment (BotPrize original judging protocol) and Third-person believability assess- ment, demonstrating that the active involvement of the judge has a great impact in the recognition of human-like behaviour.MICINN -Ministerio de Ciencia e Innovación(FCT-13-7848

Smartphone sensors for monitoring cancer-related Quality of Life: App design, EORTC QLQ-C30 mapping and feasibility study in healthy subjects

[EN] Quality of life (QoL) indicators are now being adopted as clinical outcomes in clinical trials on cancer treatments. Technology-free daily monitoring of patients is complicated, time-consuming and expensive due to the need for vast amounts of resources and personnel. The alternative method of using the patients¿ own phones could reduce the burden of continuous monitoring of cancer patients in clinical trials. This paper proposes monitoring the patients¿ QoL by gathering data from their own phones. We considered that the continuous multiparametric acquisition of movement, location, phone calls, conversations and data use could be employed to simultaneously monitor their physical, psychological, social and environmental aspects. An open access phone app was developed (Human Dynamics Reporting Service (HDRS)) to implement this approach. We here propose a novel mapping between the standardized QoL items for these patients, the European Organization for the Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and define HDRS monitoring indicators. A pilot study with university volunteers verified the plausibility of detecting human activity indicators directly related to QoL.Funding for this study was provided by the authors' various departments, and partially by the CrowdHealth Project (Collective Wisdom Driving Public Health Policies (727560)) and the MTS4up project (DPI2016-80054-R).Asensio Cuesta, S.; Sánchez-García, Á.; Conejero, JA.; Sáez Silvestre, C.; Rivero-Rodriguez, A.; Garcia-Gomez, JM. (2019). Smartphone sensors for monitoring cancer-related Quality of Life: App design, EORTC QLQ-C30 mapping and feasibility study in healthy subjects. International Journal of Environmental research and Public Health. 16(3):1-18. https://doi.org/10.3390/ijerph16030461S118163Number of Smartphone Users Worldwide from 2014 to 2020 (in Billions)https://www.statista.com/statistics/330695/number-of-smartphone-users-worldwide/Mirkovic, J., Kaufman, D. R., & Ruland, C. M. (2014). Supporting Cancer Patients in Illness Management: Usability Evaluation of a Mobile App. JMIR mHealth and uHealth, 2(3), e33. doi:10.2196/mhealth.3359Xing Su, Hanghang Tong, & Ping Ji. (2014). Activity recognition with smartphone sensors. Tsinghua Science and Technology, 19(3), 235-249. doi:10.1109/tst.2014.6838194Schmitz Weiss, A. (2013). Exploring News Apps and Location-Based Services on the Smartphone. Journalism & Mass Communication Quarterly, 90(3), 435-456. doi:10.1177/1077699013493788Higgins, J. P. (2016). Smartphone Applications for Patients’ Health and Fitness. The American Journal of Medicine, 129(1), 11-19. doi:10.1016/j.amjmed.2015.05.038Rivenson, Y., Ceylan Koydemir, H., Wang, H., Wei, Z., Ren, Z., Günaydın, H., … Ozcan, A. (2018). Deep Learning Enhanced Mobile-Phone Microscopy. ACS Photonics, 5(6), 2354-2364. doi:10.1021/acsphotonics.8b00146Priye, A., Ball, C. S., & Meagher, R. J. (2018). Colorimetric-Luminance Readout for Quantitative Analysis of Fluorescence Signals with a Smartphone CMOS Sensor. Analytical Chemistry, 90(21), 12385-12389. doi:10.1021/acs.analchem.8b03521Measuring Quality of Life for Cancer Patients: Where Are We Today and Where Are We Headed Tomorrow?http://blog.mdsol.com/measuring-quality-of-life-for-cancer-patients-where-are-we-today-and-where-are-we-headed-tomorrow/Zulueta, J., Piscitello, A., Rasic, M., Easter, R., Babu, P., Langenecker, S. A., … Leow, A. (2018). Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study. Journal of Medical Internet Research, 20(7), e241. doi:10.2196/jmir.9775Caruso, R., GiuliaNanni, M., Riba, M. B., Sabato, S., & Grassi, L. (2017). Depressive Spectrum Disorders in Cancer: Diagnostic Issues and Intervention. A Critical Review. Current Psychiatry Reports, 19(6). doi:10.1007/s11920-017-0785-7THE WHOQOL GROUP. (1998). Development of the World Health Organization WHOQOL-BREF Quality of Life Assessment. Psychological Medicine, 28(3), 551-558. doi:10.1017/s0033291798006667Basic Issues Concerning Health-Related Quality of Life. (2017). Central European Journal of Urology, 70(2). doi:10.5173/ceju.2017.923Sloan, J. A. (2011). Metrics to Assess Quality of Life After Management of Early-Stage Lung Cancer. The Cancer Journal, 17(1), 63-67. doi:10.1097/ppo.0b013e31820e15dcBordoni, R., Ciardiello, F., von Pawel, J., Cortinovis, D., Karagiannis, T., Ballinger, M., … Rittmeyer, A. (2018). Patient-Reported Outcomes in OAK: A Phase III Study of Atezolizumab Versus Docetaxel in Advanced Non–Small-cell Lung Cancer. Clinical Lung Cancer, 19(5), 441-449.e4. doi:10.1016/j.cllc.2018.05.011Hartkopf, A. D., Graf, J., Simoes, E., Keilmann, L., Sickenberger, N., Gass, P., … Wallwiener, M. (2017). Electronic-Based Patient-Reported Outcomes: Willingness, Needs, and Barriers in Adjuvant and Metastatic Breast Cancer Patients. JMIR Cancer, 3(2), e11. doi:10.2196/cancer.6996Wallwiener, M., Matthies, L., Simoes, E., Keilmann, L., Hartkopf, A. D., Sokolov, A. N., … Brucker, S. Y. (2017). Reliability of an e-PRO Tool of EORTC QLQ-C30 for Measurement of Health-Related Quality of Life in Patients With Breast Cancer: Prospective Randomized Trial. Journal of Medical Internet Research, 19(9), e322. doi:10.2196/jmir.8210Gresham, G., Hendifar, A. E., Spiegel, B., Neeman, E., Tuli, R., Rimel, B. J., … Shinde, A. M. (2018). Wearable activity monitors to assess performance status and predict clinical outcomes in advanced cancer patients. npj Digital Medicine, 1(1). doi:10.1038/s41746-018-0032-6BOHANNON, R. W. (1997). Comfortable and maximum walking speed of adults aged 20—79 years: reference values and determinants. Age and Ageing, 26(1), 15-19. doi:10.1093/ageing/26.1.15Pérez-García, V. M., Fitzpatrick, S., Pérez-Romasanta, L. A., Pesic, M., Schucht, P., Arana, E., & Sánchez-Gómez, P. (2016). Applied mathematics and nonlinear sciences in the war on cancer. Applied Mathematics and Nonlinear Sciences, 1(2), 423-436. doi:10.21042/amns.2016.2.00036Shin, W., Song, S., Jung, S.-Y., Lee, E., Kim, Z., Moon, H.-G., … Lee, J. E. (2017). The association between physical activity and health-related quality of life among breast cancer survivors. Health and Quality of Life Outcomes, 15(1). doi:10.1186/s12955-017-0706-9Wearable Fitness Monitors Useful in Cancer Treatment, Study Findswww.sciencedaily.com/releases/2018/05/180501130856.htmBade, B. C., Brooks, M. C., Nietert, S. B., Ulmer, A., Thomas, D. D., Nietert, P. J., … Silvestri, G. A. (2016). Assessing the Correlation Between Physical Activity and Quality of Life in Advanced Lung Cancer. Integrative Cancer Therapies, 17(1), 73-79. doi:10.1177/1534735416684016Fortner, B. V., Stepanski, E. J., Wang, S. C., Kasprowicz, S., & Durrence, H. H. (2002). Sleep and Quality of Life in Breast Cancer Patients. Journal of Pain and Symptom Management, 24(5), 471-480. doi:10.1016/s0885-3924(02)00500-6Mishra, S. I., Scherer, R. W., Snyder, C., Geigle, P., & Gotay, C. (2014). Are Exercise Programs Effective for Improving Health-Related Quality of Life Among Cancer Survivors? A Systematic Review and Meta-Analysis. Oncology Nursing Forum, 41(6), E326-E342. doi:10.1188/14.onf.e326-e342Ratcliff, C. G., Lam, C. Y., Arun, B., Valero, V., & Cohen, L. (2014). Ecological momentary assessment of sleep, symptoms, and mood during chemotherapy for breast cancer. Psycho-Oncology, 23(11), 1220-1228. doi:10.1002/pon.3525Cox, S. M., Lane, A., & Volchenboum, S. L. (2018). Use of Wearable, Mobile, and Sensor Technology in Cancer Clinical Trials. JCO Clinical Cancer Informatics, (2), 1-11. doi:10.1200/cci.17.00147Brown, W., Yen, P.-Y., Rojas, M., & Schnall, R. (2013). Assessment of the Health IT Usability Evaluation Model (Health-ITUEM) for evaluating mobile health (mHealth) technology. Journal of Biomedical Informatics, 46(6), 1080-1087. doi:10.1016/j.jbi.2013.08.001Darlow, S., & Wen, K.-Y. (2016). Development testing of mobile health interventions for cancer patient self-management: A review. Health Informatics Journal, 22(3), 633-650. doi:10.1177/1460458215577994Martin Sanchez, F., Gray, K., Bellazzi, R., & Lopez-Campos, G. (2014). Exposome informatics: considerations for the design of future biomedical research information systems. Journal of the American Medical Informatics Association, 21(3), 386-390. doi:10.1136/amiajnl-2013-001772Kim, H. H., Lee, S. Y., Baik, S. Y., & Kim, J. H. (2015). MELLO: Medical lifelog ontology for data terms from self-tracking and lifelog devices. International Journal of Medical Informatics, 84(12), 1099-1110. doi:10.1016/j.ijmedinf.2015.08.005Kessel, K. A., Vogel, M. M., Alles, A., Dobiasch, S., Fischer, H., & Combs, S. E. (2018). Mobile App Delivery of the EORTC QLQ-C30 Questionnaire to Assess Health-Related Quality of Life in Oncological Patients: Usability Study. JMIR mHealth and uHealth, 6(2), e45. doi:10.2196/mhealth.9486Elsbernd, A., Hjerming, M., Visler, C., Hjalgrim, L. L., Niemann, C. U., Boisen, K., & Pappot, H. (2018). Cocreated Smartphone App to Improve the Quality of Life of Adolescents and Young Adults with Cancer (Kræftværket): Protocol for a Quantitative and Qualitative Evaluation. JMIR Research Protocols, 7(5), e10098. doi:10.2196/1009

An enigmatic kilometer-scale concentration of small mytilids (Late Miocene, Guadalquivir Basin, S Spain).

Upper Miocene heterozoan carbonates crop out extensively in a NE-SW-trending belt (42 km long and 1.5-8 km wide) along the so-called El Alcor topographic high, from Carmona to Dos Hermanas (Seville, S Spain). These carbonates formed at the southern active margin of the Guadalquivir Basin, the foreland basin of the Betic Cordillera. They change to marls basinward (NE) and to sands landward (SE and SW). Therefore, carbonate production was constrained to a limited area in an otherwise siliciclastic shelf. The carbonates (up to 40 m thick) overlie a gradually coarsening-upward succession of marls followed by silts and sandstones. The carbonate sequence can be divided into three subunits corresponding, frombottom to top, to lowstand, transgressive, and highstand system tract deposits. The lower subunit, exhibiting extensive trough cross-bedding, is interpreted as a shallow-water bar deposit. The intermediate subunit onlaps underlying sediments and was deposited in deeper, lowturbulence conditions. The upper subunit deposits accumulated in a well-oxygenated outer platform based on benthic foraminiferal assemblages. The presence of hummocky and swaley cross-stratification in these latter deposits suggests that theywere affected by storms. Pervasive fluid-escape structures are also observed throughout the carbonates. The three subunits consist of bioclastic packstones to rudstonesmade up of abundant fragments of smallmytilids. Isotopic data from serpulid polychaete Ditrupa tubes show 13C-depleted values (up to −16.1¿), whereas δ18O yields normal marine values. Additional isotopic data on shells of scallops, oysters, and small mussels, as well as bulk sediment, show diagenetic alterations. Based on actualistic examples of massive concentrations of mussels, the nearly monospecific composition of the El Alcor deposits, together with negative δ13C values of Ditrupa tubes, indicates that cold seeps presumably promoted carbonate formation. However, the absence of typical features of cold-seep deposits, such as authigenic carbonatesmediated by anaerobic bacterial activity and the typical chemosynthetic shelly organisms, makes the large carbonate body of El Alcor an unusual cold-seep deposit