A Practical Procedure to Integrate the First 1:500 Urban Map of Valencia into a Tile-Based Geospatial Information System

[EN] The use of geographic data from early maps is a common approach to understanding urban geography as well as to study the evolution of cities over time. The specific goal of this paper is to provide a means for the integration of the first 1:500 urban map of the city of Valencia (Spain) on a tile-based geospatial system. We developed a workflow consisting of three stages: the digitization of the original 421 map sheets, the transformation to the European Terrestrial Reference System of 1989 (ETRS89), and the conversion to a tile-based file format, where the second stage is clearly the most mathematically involved. The second stage actually consists of two steps, one transformation from the pixel reference system to the 1929 local reference system followed by a second transformation from the 1929 local to the ETRS89 system. The last stage comprises a map reprojection to adapt to tile-based geospatial standards. The paper describes a pilot study of one map sheet and results showed that the affine and bilinear transformations performed well in both transformations with average residuals under 6 and 3 cm respectively. The online viewer developed in this study shows that the derived tile-based map conforms to common standards and lines up well with other raster and vector datasets.Villar-Cano, M.; Jiménez-Martínez, MJ.; Marqués-Mateu, Á. (2019). A Practical Procedure to Integrate the First 1:500 Urban Map of Valencia into a Tile-Based Geospatial Information System. ISPRS International Journal of Geo-Information. 8(9). https://doi.org/10.3390/ijgi809037837889Bitelli, G., & Gatta, G. (2011). Digital Processing and 3D Modelling of an 18th Century Scenographic Map of Bologna. Advances in Cartography and GIScience. Volume 2, 129-146. doi:10.1007/978-3-642-19214-2_9Brovelli, M. A., Minghini, M., Giori, G., & Beretta, M. (2012). Web Geoservices and Ancient Cadastral Maps: The Web C.A.R.T.E. Project. Transactions in GIS, 16(2), 125-142. doi:10.1111/j.1467-9671.2012.01311.xBitelli, G., Cremonini, S., & Gatta, G. (2014). Cartographic heritage: Toward unconventional methods for quantitative analysis of pre-geodetic maps. Journal of Cultural Heritage, 15(2), 183-195. doi:10.1016/j.culher.2013.04.003Cardesín Díaz, J. M., & Araujo, J. M. (2016). Historic Urbanization Process in Spain (1746–2013). Journal of Urban History, 43(1), 33-52. doi:10.1177/0096144215583481Villar-Cano, M., Marqués-Mateu, Á., & Jiménez-Martínez, M. J. (2019). Triangulation network of 1929–1944 of the first 1:500 urban map of València. Survey Review, 52(373), 317-329. doi:10.1080/00396265.2018.1564599Chen, W., & Hill, C. (2005). Evaluation Procedure for Coordinate Transformation. Journal of Surveying Engineering, 131(2), 43-49. doi:10.1061/(asce)0733-9453(2005)131:2(43)ISO 19157:2013: Geographic Information—Data Qualityhttps://www.iso.org/standard/32575.htmlASPRS Positional Accuracy Standards for Digital Geospatial Datahttps://www.asprs.org/news-resources/asprs-positional-accuracy-standards-for-digital-geospatial-dataEven-Tzur, G. (2018). Coordinate transformation with variable number of parameters. Survey Review, 52(370), 62-68. doi:10.1080/00396265.2018.1517477Yuanxi, Y., & Tianhe, X. (2002). Combined method of datum transformation between different coordinate systems. Geo-spatial Information Science, 5(4), 5-9. doi:10.1007/bf02826467Lehmann, R. (2014). Transformation model selection by multiple hypotheses testing. Journal of Geodesy, 88(12), 1117-1130. doi:10.1007/s00190-014-0747-

Big Data decision support system

Includes bibliographical references.2022 Fall.Each day, the amount of data produced by sensors, social and digital media, and Internet of Things is rapidly increasing. The volume of digital data is expected to be doubled within the next three years. At some point, it might not be financially feasible to store all the data that is received. Hence, if data is not analyzed as it is received, the information collected could be lost forever. Actionable Intelligence is the next level of Big Data analysis where data is being used for decision making. This thesis document describes my scientific contribution to Big Data Actionable Intelligence generations. Chapter 1 consists of my colleagues and I's contribution in Big Data Actionable Intelligence Architecture. The proven architecture has demonstrated to support real-time actionable intelligence generation using disparate data sources (e.g., social media, satellite, newsfeeds). This work has been published in the Journal of Big Data. Chapter 2 shows my original method to perform real-time detection of moving targets using Remote Sensing Big Data. This work has also been published in the Journal of Big Data and it has received an issuance of a U.S. patent. As the Field-of-View (FOV) in remote sensing continues to expand, the number of targets observed by each sensor continues to increase. The ability to track large quantities of targets in real-time poses a significant challenge. Chapter 3 describes my colleague and I's contribution to the multi-target tracking domain. We have demonstrated that we can overcome real-time tracking challenges when there are large number of targets. Our work was published in the Journal of Sensors

Mother's Perspective About Using the Gadget Safeness for Children

The rapid development of technology makes it easier for mothers to provide stimulation related to growth and development using gadgets. However, parental knowledge is needed about the safe limits of using a gadget in early childhood. This study aims to determine the perspective and behavior of mothers about the use of gadgets in toddlers. The method used is quantitative research with a cross-sectional approach. The participants of this study were thirty-one mothers who have early childhood and who are empowering family welfare. The inclusion criteria were mothers who agreed to be respondents, the exclusion criteria for mothers who did not have gadgets. This study uses a questionnaire measurement instrument for data collection. Data analysis was performed univariate and bivariate using the chi-square test. The results of the study concluded that the mother's knowledge regarding the safety of using a gadget was still lacking, with a value of around 54.8%, while the mother's behavior related to the same thing was better, which was around 58.1%. The relationship test shows that there is a strong enough relationship between maternal knowledge and maternal behavior in introducing or using gadgets in toddlers.  Keywords: Early Childhood, Mother Perspective, Gadget Safeness  References Appel, M. (2012). Are heavy users of computer games and social media more computer literate? Computers and Education, 59(4), 1339–1349. https://doi.org/10.1016/j.compedu.2012.06.004 Bandura, A. (1977). Social learning theory. Prentice-Hall. Cingel, D. P., & Krcmar, M. (2013). Predicting Media Use in Very Young Children: The Role of Demographics and Parent Attitudes. Communication Studies, 64(4), 374–394. https://doi.org/10.1080/10510974.2013.770408 Connell, S. L., Lauricella, A. R., & Wartella, E. (2015). Parental Co-Use of Media Technology with their Young Children in the USA. Journal OfChildren and Media, 9(1), 5–21. https://doi.org/10.1080/17482798.2015.997440 Haines, J., O’Brien, A., McDonald, J., Goldman, R. E., Evans-Schmidt, M., Price, S., King, S., Sherry, B., & Taveras, E. M. (2013). Television Viewing and Televisions in Bedrooms: Perceptions of Racial/Ethnic Minority Parents of Young Children. Journal of Child and Family Studies, 22(6), 749–756. https://doi.org/10.1007/s10826-012-9629-6 Jones, I., & Park, Y. (2015). Virtual worlds: Young children using the internet. Young children and families in the information age. Educating the young child (Advances in theory and research, implications for practice) (I. K. Heider & J. M. Renck (eds.); Volume 10). Springer. Lauricella, A. R., Wartella, E., & Rideout, V. J. (2015). Young children’s screen time: The complex role of parent and child factors. Journal of Applied Developmental Psychology, 36, 11–17. https://doi.org/10.1016/j.appdev.2014.12.001 Livingstone, S, Görzig, A., & Ólafsson, K. (2011). Disadvantaged children and online risk. http://eprints.lse.ac.uk/39385/ Livingstone, Sonia, Mascheroni, G., Dreier, M., Chaudron, S., & Lagae, K. (2015). How parents of young children manage digital devices at home: The role of income, education and parental style (Issue September). Livingstone, Sonia, Ólafsson, K., Helsper, E. J., Lupiáñez-Villanueva, F., Veltri, G. A., & Folkvord, F. (2017). Maximizing Opportunities and Minimizing Risks for Children Online: The Role of Digital Skills in Emerging Strategies of Parental Mediation. Journal of Communication, 67(1), 82–105. https://doi.org/10.1111/jcom.12277 M, S. (2017). The Impact of using Gadgets on Children. Journal of Depression and Anxiety, 07(01), 1–3. https://doi.org/10.4172/2167-1044.1000296 Marsh, J., Hannon, P., Lewis, M., & Ritchie, L. (2017). Young children’s initiation into family literacy practices in the digital age. Journal of Early Childhood Research, 15(1), 47–60. https://doi.org/10.1177/1476718X15582095 Mifsud, C. L., & Petrova, R. (2017). Young Children (0-8) and Digital Technology. In JRC Science and Policies Reports. Nevski, E., & Siibak, A. (2016). The role of parents and parental mediation on 0–3-year olds’ digital play with smart devices: Estonian parents’ attitudes and practices. Early Years, 36(3), 227–241. https://doi.org/10.1080/09575146.2016.1161601 Nikken, P. (2017). Implications of low or high media use among parents for young children’s media use. Cyberpsychology, 11(3 Special Issue). https://doi.org/10.5817/CP2017-3-1 Nikken, P., & de Haan, J. (2015). Guiding young children’s internet use at home: Problems that parents experience in their parental mediation and the need for parenting support. Cyberpsychology, 9(1). https://doi.org/10.5817/CP2015-1-3 Piotrowski, J. (2017). Media exposure during infancy and early childhood: The effect of content and context on learning and development. In I. R. Barr & D. Linebarger (Eds.), The parental media mediation context of young children’s media use.(pp. 205–219). Springer International Publishing. Plowman, L., Stevenson, O., Stephen, C., & McPake, J. (2012). Preschool children’s learning with technology at home. Computers and Education, 59(1), 30–37. https://doi.org/10.1016/j.compedu.2011.11.014 Rasmussen, E. E., Shafer, A., Colwell, M. J., White, S., Punyanunt-Carter, N., Densley, R. L., & Wright, H. (2016). Relation between active mediation, exposure to Daniel Tiger’s Neighborhood, and US preschoolers’ social and emotional development. Journal of Children and Media, 10(4), 443–461. https://doi.org/10.1080/17482798.2016.1203806 Smahelova, M., Juhová, D., Cermak, I., & Smahel, D. (2017). Mediation of young children’s digital technology use: The parents’ perspective. Cyberpsychology, 11(3 Special Issue). https://doi.org/10.5817/CP2017-3-4 Troseth, G. L., Strouse, G. A., & Russo Johnson, C. E. (2017). Early Digital Literacy: Learning to Watch, Watching to Learn. In Cognitive Development in Digital Contexts. Elsevier Inc. https://doi.org/10.1016/B978-0-12-809481-5.00002-X Vaala, S. E. (2014). The Nature and Predictive Value of Mothers’ Beliefs Regarding Infants’ and Toddlers’ TV/Video Viewing: Applying the Integrative Model of Behavioral Prediction. Media Psychology, 17(3), 282–310. https://doi.org/10.1080/15213269.2013.872995 Zaman, B., & Mifsud, C. L. (2017). Editorial: Young children’s use of digital media and parental mediation. Cyberpsychology, 11(3 Special Issue), 9. https://doi.org/10.5817/CP2017-3-x

Sustainable Higher Education Development through Technology Enhanced Learning

[EN] Higher education is incorporating Information and Communication Technology (ICT) at a fast rate for different purposes. Scientific papers include within the concept of Technology Enhanced Learning (TEL) the myriad applications of information and communication technology, e-resources, and pedagogical approaches to the development of education. TEL¿s specific application to higher education is especially relevant for countries under rapid development for providing quick and sustainable access to quality education (UN sustainable development goal 4). This paper presents the research results of an online pedagogical experience in collaborative academic research for analyzing good practice in TEL-supported higher education development. The results are obtained through a pilot implementation providing curated data on TEL competency¿s development of faculty skills and analysis of developing sustainable higher education degrees through TEL cooperation, for capacity building. Given the increased volume and complexity of the knowledge to be delivered, and the exponential growth of the need for skilled workers in emerging economies, online training is the most effective way of delivering a sustainable higher education. The results of the PETRA Erasmus+ capacity-building project provides evidence of a successful implementation of a TEL-supported methodology for collaborative faculty development focused on future online degrees built collaboratively and applied locally.This research was co-funded by the European Commission through the Erasmus+ KA2 project "Promoting Excellence in Teaching and Learning in Azerbaijani Universities (PETRA)" project number 573630-EPP-1-2016-1-ES-EPPKA2-CBHE-JP.Orozco-Messana, J.; Martínez-Rubio, J.; Gonzálvez-Pons, AM. (2020). Sustainable Higher Education Development through Technology Enhanced Learning. Sustainability. 12(9):1-13. https://doi.org/10.3390/su12093600S113129Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238-256. doi:10.1016/j.chb.2015.11.036Becker, H. J., & Ravitz, J. (1999). The Influence of Computer and Internet Use on Teachers’ Pedagogical Practices and Perceptions. Journal of Research on Computing in Education, 31(4), 356-384. doi:10.1080/08886504.1999.10782260Mumford, S., & Dikilitaş, K. (2020). Pre-service language teachers reflection development through online interaction in a hybrid learning course. Computers & Education, 144, 103706. doi:10.1016/j.compedu.2019.103706Lee, D., Watson, S. L., & Watson, W. R. (2020). The Relationships Between Self-Efficacy, Task Value, and Self-Regulated Learning Strategies in Massive Open Online Courses. The International Review of Research in Open and Distributed Learning, 21(1), 23-39. doi:10.19173/irrodl.v20i5.4389Passey, D. (2019). Technology‐enhanced learning: Rethinking the term, the concept and its theoretical background. British Journal of Educational Technology, 50(3), 972-986. doi:10.1111/bjet.12783Lai, Y.-C., & Peng, L.-H. (2019). Effective Teaching and Activities of Excellent Teachers for the Sustainable Development of Higher Design Education. Sustainability, 12(1), 28. doi:10.3390/su12010028Lee, S., Lee, H., & Kim, T. (2018). A Study on the Instructor Role in Dealing with Mixed Contents: How It Affects Learner Satisfaction and Retention in e-Learning. Sustainability, 10(3), 850. doi:10.3390/su10030850“Continuous Improvement in Teaching Strategies through Lean Principles”. Teaching & Learning Symposium, University of Southern Indiana http://hdl.handle.net/20.500.12419/455The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. (2003). Journal of Management Information Systems, 19(4), 9-30. doi:10.1080/07421222.2003.11045748Goodman, J., Melkers, J., & Pallais, A. (2019). Can Online Delivery Increase Access to Education? Journal of Labor Economics, 37(1), 1-34. doi:10.1086/698895Alexander, J., Barcellona, M., McLachlan, S., & Sackley, C. (2019). Technology-enhanced learning in physiotherapy education: Student satisfaction and knowledge acquisition of entry-level students in the United Kingdom. Research in Learning Technology, 27(0). doi:10.25304/rlt.v27.2073How Can Adaptive Platforms Improve Student Learning Outcomes? A Case Study of Open Educational Resources and Adaptive Learning Platforms https://ssrn.com/abstract=3478134Sun, A., & Chen, X. (2016). Online Education and Its Effective Practice: A Research Review. Journal of Information Technology Education: Research, 15, 157-190. doi:10.28945/3502EU Commission https://ec.europa.eu/education/education-in-the-eu/digital-education-action-plan_enEssence Project https://husite.nl/essence/Orozco-Messana, J., de la Poza-Plaza, E., & Calabuig-Moreno, R. (2020). Experiences in Transdisciplinary Education for the Sustainable Development of the Built Environment, the ISAlab Workshop. Sustainability, 12(3), 1143. doi:10.3390/su12031143Kurilovas, E., & Kubilinskiene, S. (2020). Lithuanian case study on evaluating suitability, acceptance and use of IT tools by students – An example of applying Technology Enhanced Learning Research methods in Higher Education. Computers in Human Behavior, 107, 106274. doi:10.1016/j.chb.2020.10627

Fully automatic smartphone-based photogrammetric 3D modelling of infant¿s heads for cranial deformation analysis

[EN] Image-based and range-based solutions can be used for the acquisition of valuable data in medicine. However, most of these methods are not valid for non-static patients. Cranial deformation is a problem with high prevalence among infants and image-based solutions can be used to assess the degree of deformation and monitor the evolution of patients. However, it is required to deal with infants normal movement during the assessment in order to avoid sedation. Some high-end multiple-sensor image-based solutions allow the achievement of accurate 3D data for medical applications under unpredicted dynamic conditions in consultation. In this paper, a novel, single photogrammetric smartphone-based solution for cranial deformation assessment is presented. A coded cap is placed on the infant's head and a guided smartphone app is used by the user to acquire the information, that is later processed on a server to obtain the 3D model. The smartphone app is designed to guide users with no knowledge of photogrammetry, computer vision or 3D modelling. The processing is fully automatic offline. The photogrammetric tool is also non-invasive, reacting well with quick and sudden infant's movements. Therefore, it does not require sedation. This paper tackles the accuracy and repeatability analysis tested both for a single user (intrauser) and multiple non-expert user (interuser) on 3D printed head models. The results allow us to confirm an accuracy below 1.5 mm, which makes the system suitable for clinical practice by medical staff. The basic automatically-derived anthropometric linear magnitudes are also tested obtaining a mean variability of 0.6 +/- 0.6 mm for the longitudinal and transversal distances and 1.4 +/- 1.3 mm for the maximum perimeter.This project is funded by Instituto de Salud Carlos III and European Regional Development Fund (FEDER), project number PI18/00881, and by Generalitat Valenciana, grant number ACIF/2017/056.Barbero-García, I.; Lerma, JL.; Mora Navarro, JG. (2020). Fully automatic smartphone-based photogrammetric 3D modelling of infant¿s heads for cranial deformation analysis. ISPRS Journal of Photogrammetry and Remote Sensing. 166:268-277. https://doi.org/10.1016/j.isprsjprs.2020.06.013S268277166Aldridge, K., Boyadjiev, S. A., Capone, G. T., DeLeon, V. B., & Richtsmeier, J. T. (2005). Precision and error of three-dimensional phenotypic measures acquired from 3dMD photogrammetric images. American Journal of Medical Genetics Part A, 138A(3), 247-253. doi:10.1002/ajmg.a.30959Argenta, L. (2004). Clinical Classification of Positional Plagiocephaly. Journal of Craniofacial Surgery, 15(3), 368-372. doi:10.1097/00001665-200405000-00004Ballardini, E., Sisti, M., Basaglia, N., Benedetto, M., Baldan, A., Borgna-Pignatti, C., & Garani, G. (2018). Prevalence and characteristics of positional plagiocephaly in healthy full-term infants at 8–12 weeks of life. European Journal of Pediatrics, 177(10), 1547-1554. doi:10.1007/s00431-018-3212-0Barbero-García, I., Cabrelles, M., Lerma, J. L., & Marqués-Mateu, Á. (2018). Smartphone-based close-range photogrammetric assessment of spherical objects. The Photogrammetric Record, 33(162), 283-299. doi:10.1111/phor.12243Barbero-García, I., Lerma, J. L., Marqués-Mateu, Á., & Miranda, P. (2017). Low-Cost Smartphone-Based Photogrammetry for the Analysis of Cranial Deformation in Infants. World Neurosurgery, 102, 545-554. doi:10.1016/j.wneu.2017.03.015Barbero-García, I., Lerma, J. L., Miranda, P., & Marqués-Mateu, Á. (2019). Smartphone-based photogrammetric 3D modelling assessment by comparison with radiological medical imaging for cranial deformation analysis. Measurement, 131, 372-379. doi:10.1016/j.measurement.2018.08.059Bay, H., Ess, A., Tuytelaars, T., Gool, L. Van, 2007. Speeded-Up Robust Features (SURF). https://doi.org/10.1016/j.cviu.2007.09.014.Bernardini, F., Mittleman, J., Rushmeier, H., Silva, C., & Taubin, G. (1999). The ball-pivoting algorithm for surface reconstruction. IEEE Transactions on Visualization and Computer Graphics, 5(4), 349-359. doi:10.1109/2945.817351Besl, P.J., McKay, N.D., 1992. Method for registation of 3-D shapes. In: Schenker, P.S. (Ed.), Sensor Fusion IV: Control Paradigms and Data Structures. SPIE, pp. 586–606. https://doi.org/10.1117/12.57955.Camison, L., Bykowski, M., Lee, W. W., Carlson, J. C., Roosenboom, J., Goldstein, J. A., … Weinberg, S. M. (2018). Validation of the Vectra H1 portable three-dimensional photogrammetry system for facial imaging. International Journal of Oral and Maxillofacial Surgery, 47(3), 403-410. doi:10.1016/j.ijom.2017.08.008Caple, J. M., Stephan, C. N., Gregory, L. S., & MacGregor, D. M. (2015). Effect of Head Position on Facial Soft Tissue Depth Measurements Obtained Using Computed Tomography. Journal of Forensic Sciences, 61(1), 147-152. doi:10.1111/1556-4029.12896Cignoni, P., Callieri, M., Corsini, M., Dellepiane, M., Ganovelli, F., Ranzuglia, G., 2008. MeshLab: an Open-Source Mesh Processing Tool. In: Scarano, V., Chiara, R. De, Erra, U. (Eds.), Eurographics Italian Chapter Conference. The Eurographics Association. https://doi.org/10.2312/LocalChapterEvents/ItalChap/ItalianChapConf2008/129-136.Collett, B. R., Wallace, E. R., Kartin, D., Cunningham, M. L., & Speltz, M. L. (2019). Cognitive Outcomes and Positional Plagiocephaly. Pediatrics, 143(2), e20182373. doi:10.1542/peds.2018-2373De Jong, G., Tolhuisen, M., Meulstee, J., van der Heijden, F., van Lindert, E., Borstlap, W., … Delye, H. (2017). Radiation-free 3D head shape and volume evaluation after endoscopically assisted strip craniectomy followed by helmet therapy for trigonocephaly. Journal of Cranio-Maxillofacial Surgery, 45(5), 661-671. doi:10.1016/j.jcms.2017.02.007De Jong, G. A., Maal, T. J. J., & Delye, H. (2015). The computed cranial focal point. Journal of Cranio-Maxillofacial Surgery, 43(9), 1737-1742. doi:10.1016/j.jcms.2015.08.023Dörhage, K. W. W., Wiltfang, J., von Grabe, V., Sonntag, A., Becker, S. T., & Beck-Broichsitter, B. E. (2018). Effect of head orthoses on skull deformities in positional plagiocephaly: Evaluation of a 3-dimensional approach. Journal of Cranio-Maxillofacial Surgery, 46(6), 953-957. doi:10.1016/j.jcms.2018.03.013Farkas, L.G., 1994. Anthropometry of the Head and Face. Raven Pr.Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F. J., & Medina-Carnicer, R. (2016). Generation of fiducial marker dictionaries using Mixed Integer Linear Programming. Pattern Recognition, 51, 481-491. doi:10.1016/j.patcog.2015.09.023Goebbels, S., Pohle-Fröhlich, R., Pricken, P., 2019. Iterative closest point algorithm for accurate registration of coarsely registered point clouds with CityGML models. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. pp. 201–208. https://doi.org/10.5194/isprs-annals-IV-2-W5-201-2019.Grazioso, S., Selvaggio, M., Caporaso, T., & Di Gironimo, G. (2019). A Digital Photogrammetric Method to Enhance the Fabrication of Custom-Made Spinal Orthoses. JPO Journal of Prosthetics and Orthotics, 31(2), 133-139. doi:10.1097/jpo.0000000000000244Heymsfield, S.B., Bourgeois, B., Ng, B.K., Sommer, M.J., Li, X., Shepherd, J.A., 2018. Digital anthropometry: A critical review. In: European Journal of Clinical Nutrition. Nature Publishing Group, pp. 680–687. https://doi.org/10.1038/s41430-018-0145-7.Hsu, C.-K., Hallac, R. R., Denadai, R., Wang, S.-W., Kane, A. A., Lo, L.-J., & Chou, P.-Y. (2019). Quantifying normal head form and craniofacial asymmetry of elementary school students in Taiwan. Journal of Plastic, Reconstructive & Aesthetic Surgery, 72(12), 2033-2040. doi:10.1016/j.bjps.2019.09.005Jodeh, D. S., Curtis, H., Cray, J. J., Ford, J., Decker, S., & Rottgers, S. A. (2018). Anthropometric Evaluation of Periorbital Region and Facial Projection Using Three-Dimensional Photogrammetry. Journal of Craniofacial Surgery, 29(8), 2017-2020. doi:10.1097/scs.0000000000004761Khormi, Y., Chiu, M., Goodluck Tyndall, R., Mortenson, P., Smith, D., & Steinbok, P. (2019). Safety and efficacy of independent allied healthcare professionals in the assessment and management of plagiocephaly patients. Child’s Nervous System, 36(2), 373-377. doi:10.1007/s00381-019-04400-zKournoutas, I., Vigo, V., Chae, R., Wang, M., Gurrola, J., Abla, A. A., … Rubio, R. R. (2019). Acquisition of Volumetric Models of Skull Base Anatomy Using Endoscopic Endonasal Approaches: 3D Scanning of Deep Corridors Via Photogrammetry. World Neurosurgery, 129, 372-377. doi:10.1016/j.wneu.2019.05.251Lopes Alho, E.J., Rondinoni, C., Furokawa, F.O., Monaco, B.A., 2019. Computer-assisted craniometric evaluation for diagnosis and follow-up of craniofacial asymmetries: SymMetric v. 1.0. Child’s Nerv. Syst. 1–7. https://doi.org/10.1007/s00381-019-04451-2.Lowe, D.G., 1999. Object recognition from local scale-invariant features. In: Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2, ICCV ’99. IEEE Computer Society, Washington, DC, USA, p. 1150.Lübbers, H.-T., Medinger, L., Kruse, A., Grätz, K. W., & Matthews, F. (2010). Precision and Accuracy of the 3dMD Photogrammetric System in Craniomaxillofacial Application. Journal of Craniofacial Surgery, 21(3), 763-767. doi:10.1097/scs.0b013e3181d841f7Martiniuk, A. L. C., Vujovich-Dunn, C., Park, M., Yu, W., & Lucas, B. R. (2017). Plagiocephaly and Developmental Delay: A Systematic Review. Journal of Developmental & Behavioral Pediatrics, 38(1), 67-78. doi:10.1097/dbp.0000000000000376Meulstee, J. W., Verhamme, L. M., Borstlap, W. A., Van der Heijden, F., De Jong, G. A., Xi, T., … Maal, T. J. J. (2017). A new method for three-dimensional evaluation of the cranial shape and the automatic identification of craniosynostosis using 3D stereophotogrammetry. International Journal of Oral and Maxillofacial Surgery, 46(7), 819-826. doi:10.1016/j.ijom.2017.03.017Mitchell, H. ., & Newton, I. (2002). Medical photogrammetric measurement: overview and prospects. ISPRS Journal of Photogrammetry and Remote Sensing, 56(5-6), 286-294. doi:10.1016/s0924-2716(02)00065-5Mortenson, P. A., & Steinbok, P. (2006). Quantifying Positional Plagiocephaly. Journal of Craniofacial Surgery, 17(3), 413-419. doi:10.1097/00001665-200605000-00005Munn, L., & Stephan, C. N. (2018). Changes in face topography from supine-to-upright position—And soft tissue correction values for craniofacial identification. Forensic Science International, 289, 40-50. doi:10.1016/j.forsciint.2018.05.016Muñoz-Salinas, R., Marín-Jimenez, M. J., Yeguas-Bolivar, E., & Medina-Carnicer, R. (2018). Mapping and localization from planar markers. Pattern Recognition, 73, 158-171. doi:10.1016/j.patcog.2017.08.010Nahles, S., Klein, M., Yacoub, A., & Neyer, J. (2018). Evaluation of positional plagiocephaly: Conventional anthropometric measurement versus laser scanning method. Journal of Cranio-Maxillofacial Surgery, 46(1), 11-21. doi:10.1016/j.jcms.2017.10.010Nocerino, E., Poiesi, F., Locher, A., Tefera, Y.T., Remondino, F., Chippendale, P., Van Gool, L., 2017. 3D Reconstruction with a Collaborative Approach Based on Smartphones and a Cloud-based Server. ISPRS - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 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Resolving the productivity paradox of digitalised production

[EN] Although Industry 4.0 and other initiatives predict widespread adoption of digitalised technology on the factory floor, few companies use new digitalised production technology holistically in their ecosystems; in practical implementation, companies often decide against digitalisation for financial reasons. This is due to a paradox (akin to the so called “productivity paradox”) caused by the complexity of value creation and value delivery within digitalised production. This article analyses and synthesises cross-disciplinary research using a grounded theory model, thus offering valuable insights for businesses considering investing in digitalised production. A qualitative model and an associated toolbox (complete with tools for practical application by business leaders and decision-makers) are presented to address organisational uncertainty and leadership disconnect that often contribute to the paradoxical gap between digital strategy and operational implementation.Dold, L.; Speck, C. (2021). Resolving the productivity paradox of digitalised production. International Journal of Production Management and Engineering. 9(2):65-80. https://doi.org/10.4995/ijpme.2021.15058OJS658092Al-Debei, Mutaz M.; Avison, David (2010): Developing a unified framework of the business model concept. In Euro-pean Journal of Information Systems 19 (3), pp. 359-376. https://doi.org/10.1057/ejis.2010.21Andulkar, Mayur; Le, Duc Tho; Berger, Ulrich (2018): A multi-case study on Industry 4.0 for SME's in Brandenburg, Germany. Proceedings of the 51st Hawaii International Conference on System Sciences. Hawaii, 2018. https://doi.org/10.24251/HICSS.2018.574Arnold, Christian; Kiel, Daniel; Voight, Kai-Ingo (2017): Innovative Business Models for the Industrial Internet of Things. In Berg Huettenmaenn Monatsh 162 (9), pp. 371-381. https://doi.org/10.1007/s00501-017-0667-7Arnold, Christian; Voight, Kai-Ingo (2017): Ecosystem Effects of the Industrial Internet of Things on Manufacturing Companies. In Acta INFOLOGICA 1 (2), pp. 99-108.Berghaus, Sabine (2018): The Fuzzy Front End of Digital Transformation. Activities and Approaches for Initiating Organizational Change Strategies. Universität St. Gallen. Available online at https://www1.unisg.ch/www/edis.nsf/SysLkpByIdentifier/4704/$FILE/dis4704.pdf.Berghaus, Sabine; Back, Andrea; Kaltenrieder, Bramwell. (2017): Digital Maturity & Transformation Report 2017. Zürich: Crosswalk AG,. In Veröffentlichung zur Studie der Universität St. Gallen in Kooperation mit Crosswalk. St. Gallen, March 2017.Bouwman, Harry; Nikou, Shahrokh; Molina-Castillo, Francisco J.; Reuver, Mark de (2018): The impact of digitaliza-tion on business models. In Digital Policy, Regulation and Governance 20 (2), pp. 105-124. https://doi.org/10.1108/DPRG-07-2017-0039Buchholz, Birgit; Ferdinand, Jan-Peter; Gieschen, Jan-Hinrich; Seidel, Uwe (2017): Digitalisierung industrieller Wertschöpfung. Eine Studie im Rahmen der Begleitforschung zum Technologieprogramm AUTONOMIK für In-dustrie 4.0 des Bundesministeriums für Wirtschaft und Energie. Berlin: iit-Institut für Innovation und Technik der VDI/VDE Innovation + Technik GmbH.Burggräf, Peter; Dannapfel, Matthias; Voet, Hanno; Bök, Patrick-Benjamin; Uelpenich, Jérôme; Hoppe, Julian (2017): Digital Transformation of Lean Production. Systematic Approach for the Determination of Digitally Pervasive Val-ue Chains. In World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering 11 (10), 2462-2471.Burmeister, Christian; Luettgens, Dirk; Piller, Frank T. (2016): Business Model Innovation for Industrie 4.0. Why the 'Industrial Internet' Mandates a New Perspective. In Die Unternehmensführung ; RWTH-TIM Working Paper 70 (2), pp. 124-152. https://doi.org/10.2139/ssrn.2571033Cañas, Héctor; Mula, Josefa; Díaz-Madroñero, Manuel; Campuzano-Bolarín, Francisco (2021): Implementing Industry 4.0 principles. In Computers & Industrial Engineering 158 (1), p. 107379. https://doi.org/10.1016/j.cie.2021.107379Charmaz, Kathy (2014): Constructing grounded theory. 2nd edition. Los Angeles, London, New Delhi, Singapore, Washington DC: SAGE.Chesbrough, Henry (2010): Business model innovation: opportunities and barriers. Opportunities and Barriers. In Long range planning 43 (2-3), pp. 354-363. https://doi.org/10.1016/j.lrp.2009.07.010Chesbrough, Henry; Rosenbloom, Richard S. (2002): The role of the business model in capturing value from innova-tion: evidence from Xerox Corporation's technology spin‐off companies. In Industrial and corporate change 11 (3), pp. 529-555. https://doi.org/10.1093/icc/11.3.529Cottyn, Johannes; Stockman, Kurt; Hendrik, van Landeghem (2008): The Complementarity of Lean Thinking and the ISA 95 Standard. WBF 2008. WBF. Barcelona, November 2008. Available online at http://hdl.handle.net/1854/LU-524679.Dold, Luzian (2020): Beurteilung von Investitionen in die digitalisierte Produktion. Eine Mixed-Method-Studie zur moderierenden Wirkung von Nutzenkonstrukten aus Geschäftsmodellen an der Lücke zwischen digitaler Strategie und operativen Prozessen. Dissertation. Middlesex University, London.Dold, Luzian (2021): A Value Centred Paradigm to Moderate the Digital Transformation of Manufacturing. In Adv. 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Strategic implementation framework of industrial value chain for connected industries. Edited by Industrial Value Chain Initiative. Monozu-kuri Nippon Conference c/o. Tokyo.Jesse, Norbert (2016): Internet of Things and Big Data - The Disruption of the Value Chain and the Rise of New Soft-ware Ecosystems. In IFAC-PapersOnLine 49 (29), pp. 275-282. https://doi.org/10.1016/j.ifacol.2016.11.079Jüttemann, Gerd (Ed.) (1989): Qualitative Forschung in der Psychologie. Grundfragen, Verfahrensweisen, Anwen-dungsfelder. 2. Aufl. Heidelberg: Asanger.Kagermann, Henning; Anderl, Reiner; Gausemeier, Jürgen; Schuh, Günther; Wahlster Wolfgang (2016): Industrie 4.0 im globalen Kontext. Strategien der Zusammenarbeit mit internationalen Partnern. Acatech Studie. München: Her-bert Utz Verlag.Kagermann, Henning; Wahlster, Wolfgang; Helbig, Johannes (2013): Umsetzungsempfehlungen für das Zukunftspro-jekt Industrie 4.0. Abschlussbericht des Arbeitskreises Industrie 4.0. Edited by Prof. Dr. Henning Kagermann. For-schungsunion Wirtschaft und Wissenschaft, Arbeitskreis Industrie 4.0. Frankfurt am Main.Kagermann, Henning; Wahlster, Wolfgang; Lukas, Wolf-Dieter (2011): Industrie 4.0 : Mit dem Internet der Dinge auf dem Weg zur 4. Industriellen Revolution. In VDI Nachrichten 2011, 4/1/2011 (13).Kiel, Daniel; Müller, Julian; Arnold, Christian; Voight, Kai-Ingo (2017): Sustainable Industrial Value Creation. Benefits and Challenges of Industry 4.0. In International Journal of Innovation Management (ijim) 21 (8), pp. 1-34. https://doi.org/10.1142/S1363919617400151Koch, Arno (2016): OEE für das Produktionsteam. Das vollständige OEE-Benutzerhandbuch - oder wie Sie die ver-borgene Maschine entdecken. 3., korrigierte Auflage. Herrieden: CETPM Publishing (Operational Excellence, Nr. 5).Legrenzi, Christopher (2017): THE DIGITAL PARADOX. INFORMATION, INFORMATICS, AND INFOR-MATION SYSTEM. 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Berlin: Bundesverband Information-swirtschaft,Telekommunikation und neue Medien e. V.Maklan, Stan; Peppard, Joe; Klaus, Philipp (2015): Show me the money. In European Journal of Marketing 49 (3/4), pp. 561-595. https://doi.org/10.1108/EJM-08-2013-0411Mayring, Philipp (2008): Einführung in die qualititative Sozialforschung. Eine Anleitung zu qualitativem Denken. 5. Aufl. Weinheim, Basel: Beltz (Beltz Studium).Obermaier, Robert (2019): Industrie 4.0 und Digitale Transformation als unternehmerische Gestaltungsaufgabe. In Robert Obermaier (Ed.): Handbuch Industrie 4.0 und Digitale Transformation. Betriebswirtschaftliche, technische und rechtliche Herausforderungen. 1st ed. 2019. Wiesbaden: Springer Fachmedien Wiesbaden, pp. 3-46. https://doi.org/10.1007/978-3-658-24576-4_1Obermaier, Robert; Schweikl, Stefan (2019): Zur Bedeutung von Solows Paradoxon. Empirische Evidenz und ihre Übertragbarkeit auf Digitalisierungsinvestitionen in einer Industrie 4.0. 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Factors Affecting Teacher Readiness for Online Learning (TROL) in Early Childhood Education: TISE and TPACK

This study aims to find empirical information about the effect of Technological Pedagogical Content Knowledge (TPACK), and Technology Integration Self Efficacy (TISE) on Teacher Readiness for Online Learning (TROL). This study uses a quantitative survey method with path analysis techniques. This study measures the readiness of kindergarten teachers in distance learning in Tanah Datar Regency, West Sumatra Province, Indonesia with a sampling technique using simple random sampling involving 105 teachers. Empirical findings reveal that; 1) there is a direct positive effect of Technology Integration Self Efficacy on Teacher Readiness for Online Learning; 2) there is a direct positive effect of PACK on Teacher Readiness for Online Learning; 3) there is a direct positive effect of Technology Integration Self Efficacy on TPACK. If want to improve teacher readiness for online learning, Technological Pedagogical Content Knowledge (TPACK) must be improved by paying attention to Technology Integration Self Efficacy (TISE). Keywords: TROL, TPACK, TISE, Early Childhood Education References: Abbitt, J. T. (2011). An Investigation of the Relationship between Self-Efficacy Beliefs about Technology Integration and Technological Pedagogical Content Knowledge (TPACK) among Preservice Teachers. Journal of Digital Learning in Teacher Education, 27(4), 134–143. Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: The challenges and opportunities. Interactive Learning Environments, 1–13. https://doi.org/10.1080/10494820.2020.1813180 Adnan, M. (2020). Online learning amid the COVID-19 pandemic: Students perspectives. Journal of Pedagogical Sociology and Psychology, 1(2), 45–51. https://doi.org/10.33902/JPSP.2020261309 Alqurashi, E. (2016). 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A model for recommending related research papers: A natural language processing approach

The volume of information generated lately has led to information overload, which has impacted researchers’ decision-making capabilities. Researchers have access to a variety of digital libraries to retrieve information. Digital libraries often offer access to a number of journal articles and books. Al though digital libraries have search mechanisms it still takes much time to find related research papers. The main aim of this study was to develop a model that uses machine learning techniques to recommend related research papers. The conceptual model was informed by literature on recommender systems in other domains. Furthermore, a literature survey on machine learning techniques helped to identify candidate techniques that could be used. The model comprises four phases. These phases are completed twice, the first time for learning from the data and the second time when a recommen dation is sought. The four phases are: (1) identify and remove stopwords, (2) stemming the data, (3) identify the topics for the model, and (4) measuring similarity between documents. The model is implemented and demonstrated using a prototype to rec ommend research papers using a natural language processing approach. The prototype underwent three iterations. The first iteration focused on under standing the problem domain by exploring how recommender systems and related techniques work. The second iteration focused on pre-processing techniques, topic modeling and similarity measures of two probability dis tributions. The third iteration focused on refining the prototype, and docu menting the lessons learned throughout the process. Practical lessons were learned while finalising the model and constructing the prototype. These practical lessons should help to identify opportunities for future research.Thesis (MIT) -- Faculty of Engineering the Built Environment and Technology, Information Technology, 202

A model for recommending related research papers: A natural language processing approach

The volume of information generated lately has led to information overload, which has impacted researchers’ decision-making capabilities. Researchers have access to a variety of digital libraries to retrieve information. Digital libraries often offer access to a number of journal articles and books. Al though digital libraries have search mechanisms it still takes much time to find related research papers. The main aim of this study was to develop a model that uses machine learning techniques to recommend related research papers. The conceptual model was informed by literature on recommender systems in other domains. Furthermore, a literature survey on machine learning techniques helped to identify candidate techniques that could be used. The model comprises four phases. These phases are completed twice, the first time for learning from the data and the second time when a recommen dation is sought. The four phases are: (1) identify and remove stopwords, (2) stemming the data, (3) identify the topics for the model, and (4) measuring similarity between documents. The model is implemented and demonstrated using a prototype to rec ommend research papers using a natural language processing approach. The prototype underwent three iterations. The first iteration focused on under standing the problem domain by exploring how recommender systems and related techniques work. The second iteration focused on pre-processing techniques, topic modeling and similarity measures of two probability dis tributions. The third iteration focused on refining the prototype, and docu menting the lessons learned throughout the process. Practical lessons were learned while finalising the model and constructing the prototype. These practical lessons should help to identify opportunities for future research.Thesis (MIT) -- Faculty of Engineering the Built Environment and Technology, Information Technology, 202