fairdataihub/poster-sentry-training-data huggingface dataset:
Adventures of Tammy: Play Your Stories, An Interactive Storytelling Mobile Game with Augmented Reality Story Playback Nuñez, Lyn Den Ashley D. Camaña, Gia Fiel O. Libunao, Christian Arvee R. Garcia, Kyle Joseph Edward P. Vasquez, Jash Mhaynard M. Moso, Melvin F. Abacan, Ray Carlo A. Bombasi, Joferson L. FEU Alabang, Philippines | lanunez.ofx@gmail.com FEU Alabang, Philippines | giacamana@gmail.com FEU Alabang, Philippines | christianarveelibunao@yahoo.com FEU Alabang, Philippines | kyle99.garcia@gmail.com FEU Alabang, Philippines | jashvasquez0198@gmail.com FEU Alabang, Philippines | mfmoso@feualabang.edu.ph FEU Alabang, Philippines | raabacan@feualabang.edu.ph FEU Alabang, Philippines | jlbombasi@feualabang.edu.ph FORMAT Poster presentation ABSTRACT The 2D and 3D hybrid techniques had primarily been employed in films in the animation industry. However, the 2D and 3D hybrid techniques are not just for animated films as they may create assets and environments for video games. Game animation, like film animation, has progressed from 2D to 3D techniques. Furthermore, while a few research and current systems have used interactive storytelling in mobile applications, none has included Augmented Reality (AR) as a feature. The goal of this research was to generally create Adventures of Tammy: Play your Stories, an Interactive Storytelling Mobile Game with Augmented Reality Story Playback. The app was successfully developed through Unity, ARCore, and ARFoundation. A survey was conducted last November 8 and 9, 2021, and administered through the use of Jotform and Google Forms to gather responses from 15 children as target users, 5 basic education teachers, and 5 functionality testers. It was a non-probability survey and it focused on the 5-point Likert Scale with Very Good, Good, Fair, Poor, Very Poor Rating. This study used a mode measure of central tendency; obtaining the most frequent answer—or the mode—per question. Based on the survey results, the objectives of the study were successfully achieved. The proponents were able to develop assets and environments using 2D and 3D hybrid techniques, to implement the developed 2D and 3D hybrid assets and environment, to produce a visually appealing app for children, and to embed an AR technology used for the AR story playback. KEYWORDS Augmented Reality, storytelling, mobile game, hybrid animation, gamification REFERENCES Asis, L. C. (2017, February 16). The Perforation in Philippine Animation Industry: Original Content Full Length Animated Films. Proceedings at the 10th DLSU Arts Congress. Asis, L. C. (2018, April 23). Marking of the Past: Original Feature-length Animated Films in the
Identifying the drivers of abundance of Philaenus spumarius in Corsica Chartois M.1, Mesmin X.1, Quiquerez I.2, Borgomano S.2, Rossi J.-P.1, Rasplus J.-Y.1 & Cruaud A.1 1CBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, Univ. Montpellier, Montferrier-sur-Lez, France (marguerite.chartois@inrae.fr) ; 2CBNC, OEC, Corte, France
Energy Budget of Forming Clumps in Numerical Simulations of Collapsing Clouds Vianey Camacho1, Enrique Vázquez-Semadeni1, Javier Ballesteros-Paredes1,2, Gilberto Gómez1, Michael Fall3, Dolores Mata1,4 1 Instituto de Radioastronomía y Astrofísica, Universidad Nacional Autónoma de México, 2 Zentrum fur Astronomie der Universität Heidelberg, Institut für Theoretische Astrophysik, 3 Space Telescope Science Institute,4 Instituto de Astronomía, Universidad Nacional Autónoma de México Star Formation From Clumps to Cores ESO 2017
. Keywords Systematic literature reviews, systematic reviews, tool support, software engineering Who is this briefing for? Software engineering researchers who want to undertake a systematic literature review with the use of a tool to support and to make a decision which tool to support systematic literature reviews in software engineering is most suitable for their needs. Where the findings come from? All findings of this briefing were extracted from the Rapid Review research conducted by Burak K. Stuttgart. What is included in this briefing? The main findings of the Rapid Review. Tool support or specific tools for systematic literature studies. Tools that can support at least one stage of the SLR/MS process. Underlying approaches of the tools and the most important features. What is not included in this briefing? Tools not useable for the software engineering discipline and reference and document manager tools were not considered. TOOLS TO SUPPORT SYSTEMATIC LITERATURE REVIEWS (SLRS) This briefing report scientific evidence on tools to support systematic literature reviews in Software Engineering. FINDINGS • After the initial stage and assessing the selection criteria in the selection process , 11 papers were included from Google Scholar (13 tools), 8 papers from ACM Digital Library (10 tools), 6 papers from IEEE Xplore (5 tools), 2 papers from Google (3 tools) and 14 tools from SLR-Toolbox were found. • After completion of the selection criteria, the papers were merged, the duplicates removed, and the use of snowballing was intended. • Figure 1 shows the percentage findings from each search engine and the snowballing procedure. Remarkable is that most of the findings were added from SLR- Toolbox (33,3%). • Totally 35 papers were found which report about tools to support SLR in Software Engineering and 24 tools were extracted from the included papers to support SLRs in SE. • The tool most mentioned in the reported papers is StArt (reported in 7 papers), followed by PEx, ReVis and SLuRp each with 5 reported papers. The Tool DBPedia was reported in 4 papers and SLR- Tool in 3 papers. All other tools were mentioned in 1-2 or 0 papers, shown in Figure 2. • The biggest clusters of tools are based on methods for visualization and text-mining. 12 tools are based on the approach of data maintenance. This means that these tools additionally support storage of references and can be used as a supplemental reference manager. The third largest cluster, which is supported by four tools, presents tools with machine learning and active learning approaches. • A summary of the findings which addresses the research question 1 is shown in Figure 3. Figure 3: Identified tools to support SLR in SE based on RQ1 Figure 1: Used search engines and snowballing procedure Figure 2: Tools most mentioned in the reported papers.
AMERICAN JOURNAL OF BUSINESS MANAGEMENT ISSN: 2996-5098 (online) | ResearchBib (IF) = 9.618 IMPACT FACTOR Volume-2| Issue-5| 2024 Published: |30-12-2024| 34 O‟ZBEKISTON QISHLOQ XO'JALIGIDA INTERAKTIV MARKETING, HAMDA UNI RIVOJLANTIRISH IMKONIYATLARI. https://doi.org/10.5281/zenodo.14511196 Boymatov Xoliyor Qurbonovich Termiz davlat muhandislik va agrotexnologiyalar universiteti “Tarmoqlar iqtisodiyoti” kafedrasi o’qituvchisi. boymatov3700@gmail.com Annotatsiya O'zbekistonda internet tarmog'ining kengayishi va mobil aloqalar infrastrukturasining yaxshilanishi interaktiv marketingning rivojlanishiga katta turtki beradi. O'zbekistonda internet foydalanuvchilari soni doimiy ravishda ortib bormoqda, va bu raqamli marketing vositalari, jumladan, ijtimoiy tarmoqlar, mobil ilovalar va onlayn do'konlar orqali marketing strategiyalarini amalga oshirish imkoniyatlarini kengaytirmoqda. kalit so'zlar Ijtimoiy tarmoqlar,Veb-saytlar,Mobil ilovalar,Elektron pochta marketingi,QR kodlar, Mijozlar bilan aloqalar,Brend yaratish,Onlayn sotuvlar,Tijorat marketingi,Sotish va reklama. Kirish Qishloq xo'jaligi sohasida marketing faqat mahsulotni sotishdan iborat emas. Bugungi kunda qishloq xo'jaligi ishlab chiqaruvchilari va fermerlar o'z mahsulotlarini sotish jarayonini samarali boshqarish uchun innovatsion marketing vositalariga murojaat qilmoqdalar. Bunday vositalardan biri interaktiv marketingdir. Interaktiv marketing – bu iste'molchilar bilan ikki tomonlama aloqani o'rnatish, ularning fikrlarini tinglash va ularning ehtiyojlariga javob berishga asoslangan yondashuvdir. Ushbu maqolada qishloq xo'jaligida interaktiv marketingning ahamiyati, usullari va amaliy misollari kengroq yoritiladi. Interaktiv marketingning mohiyati Interaktiv marketing marketing sohasida yangi yondashuvni ifodalaydi. U faqat bir tomonlama reklama yoki targ'ibotdan iborat emas. Bu yondashuvda iste'molchilar va ishlab chiqaruvchilar o'rtasida doimiy va ikki tomonlama muloqot mavjud. Interaktiv marketingda iste'molchilarga faqat mahsulot yoki xizmat haqida ma'lumot berish bilan cheklanmay, balki ularning fikrlarini, takliflarini va talablarini qabul qilish ham muhimdir.Qishloq xo'jaligida interaktiv marketingning o'ziga xos xususiyatlari mavjud. Bu sohada iste'molchilarning talab va ehtiyojlari tez o'zgarib turadi. Misol uchun, qishloq xo'jaligi mahsulotlarining sifatiga,
11/28/23, 11:17 AM OHBM https://ww6.aievolution.com/hbm2401/index.cfm?do=abs.viewAbs&subView=1&abs=2087 1/8 Improved cerebrovascular brain-age accuracy by multi- sequence, multi-center harmonisation Poster No: 2094 Submission Type: Abstract Submission Authors: Mathijs Dijsselhof , Candace Moore , Wibeke Nordhøy , Dani Beck , Lars Westlye , Nishi Chaturvedi , Alun Hughes , David Cash , Jonathan Schott , Frederik Barkhof , James Cole , Henk Mutsaerts , Jan Petr Institutions: Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands, Amsterdam Neuroscience, Brain Imaging, Amsterdam, Netherlands, Netherlands eScience Center, Amsterdam, Netherlands, Physics and Computational Radiology, Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital, Oslo, Norway, Department of Psychology, University of Oslo, Oslo, Norway, Division of Mental Health and Substance Abuse , Diakonhjemmet Hospital, Oslo, Norway, KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway, MRC Unit for Lifelong Health & Ageing, Department of Population Science, University College London, London, United Kingdom, Population Sciences and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom, Dementia Research Centre, UCL Queen Square Institute of Neurology, London, United Kingdom, UK Dementia Research Institute at UCL, University College London, London, United Kingdom, Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, Amsterdam, Netherlands, Dementia Research Centre, Queen Square Institute of Neurology, UCL, London, United Kingdom, Centre for Medical Imaging Computing, Computer Science, UCL, London, United Kingdom, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiopharmaceutical Cancer Research, Dresden, Germany First Author: Mathijs Dijsselhof Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit|Amsterdam Neuroscience, Brain Imaging Amsterdam, Netherlands|Amsterdam, Netherlands Co-Author(s): Candace Moore Netherlands eScience Center Amsterdam, Netherlands Wibeke Nordhøy Physics and Computational Radiology, Radiology and Nuclear Medicine, Oslo University Hospital Oslo, Norway Dani Beck Norwegian Centre for Mental Disorders Research (NORMENT), Oslo University Hospital|Department of 1,2 3 4 5,6,7 5,6,8 9,10 9 11,12 11 1,2,13 14,15 1,2 1,16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
Poster STI 2022 Conference Proceedings Proceedings of the 26th International Conference on Science and Technology Indicators All papers published in this conference proceedings have been peer reviewed through a peer review process administered by the proceedings Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a conference proceedings. Proceeding Editors Nicolas Robinson-Garcia Daniel Torres-Salinas Wenceslao Arroyo-Machado Citation: Buchana, Y. (2022). Exploring collaborative innovation networks and knowledge spillovers in the agriculture sector: A social network analysis approach. In N. Robinson- Garcia, D. Torres-Salinas, & W. Arroyo-Machado (Eds.), 26th International Conference on Science and Technology Indicators, STI 2022 (sti2267). https://doi.org/10.5281/zenodo.6948327 Copyright: © 2022 the authors, © 2022 Faculty of Communication and Documentation, University of Granada, Spain. This is an open access article distributed under the terms of the Creative Commons Attribution License. Collection: https://zenodo.org/communities/sti2022grx/
Diagnostic pipeline and large-scale monitoring: the experience in the Apulian outbreak 1Saponari M., 2Percoco A.,3Caroppo C., 1Specchia F., 1Zicca S., 1Loconsole G., 1Boscia D., 1Istituto per la Protezione Sostenibile delle Piante, Sede Secondaria di Bari, Italy; 2Dipartimento Agricoltura, Sviluppo Rurale e Ambientale Sezione Osservatorio Fitosanitario, Regione Puglia, Italy; 3InnovaPuglia S.p.A, Bari, Italy
See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/335292810 Tectonics structures in Noctis Labyrinthus area based on HRSC and CTX photogeological mapping Poster · September 2018 DOI: 10.13140/RG.2.2.32184.90883 CITATIONS 0 READS 31 4 authors: Some of the authors of this publication are also working on these related projects: SIMBIO-SYS instrument for ESA Bepicolombo mission View project PLANMAP Horizon2020 project View project Mayssa El Yazidi University of Padova 6 PUBLICATIONS 0 CITATIONS SEE PROFILE Riccardo Pozzobon University of Padova 56 PUBLICATIONS 73 CITATIONS SEE PROFILE Stefano Debei University of Padova 318 PUBLICATIONS 4,115 CITATIONS SEE PROFILE M. Massironi University of Padova 402 PUBLICATIONS 4,040 CITATIONS SEE PROFILE All content following this page was uploaded by Mayssa El Yazidi on 21 August 2019. The user has requested enhancement of the downloaded file.
Poster STI 2022 Conference Proceedings Proceedings of the 26th International Conference on Science and Technology Indicators All papers published in this conference proceedings have been peer reviewed through a peer review process administered by the proceedings Editors. Reviews were conducted by expert referees to the professional and scientific standards expected of a conference proceedings. Proceeding Editors Nicolas Robinson-Garcia Daniel Torres-Salinas Wenceslao Arroyo-Machado Citation: Bouabid, H. (2022). A reliable model to measure geographical and technological distances impact on scientific collaboration. In N. Robinson- Garcia, D. Torres-Salinas, & W. Arroyo-Machado (Eds.), 26th International Conference on Science and Technology Indicators, STI 2022 (sti22163). https://doi.org/10.5281/zenodo.6966390 Copyright: © 2022 the authors, © 2022 Faculty of Communication and Documentation, University of Granada, Spain. This is an open access article distributed under the terms of the Creative Commons Attribution License. Collection: https://zenodo.org/communities/sti2022grx/
Biodiversity patterns in marine annelids associated to intertidal coralline algae along the Salento Peninsula Joachim Langeneck1, Desirèe Dimichele1,2, Matteo Putignano1,2, Luigi Musco1,2 1Consorzio Nazionale Interuniversitario per le Scienze del Mare (CoNISMa), U.L.R. di Lecce, c/o DiSTeBA, University of Salento, Campus Ecotekne, strada provinciale Lecce – Monteroni, 73100 Lecce, Italy 2Dipartimento di Scienze e Tecnologie Biologiche e Ambientali (DiSTeBA), University of Salento, Campus Ecotekne, strada provinciale Lecce – Monteroni, 73100 Lecce, Italy The Salento Peninsula, as the eastern-most stretch of the Italian Peninsula, represents a boundary region between the eastern and the western Mediterranean sub-basins. The study of marine assemblages occurring in this area might allow to gather early evidence about their alterations associated with the currently ongoing trend of meridionalisation and tropicalisation. Contact mail langeneck@conisma.it In this study, we studied the marine annelids associated to the intertidal coralline alga Ellisolandia elongata (J. Ellis & Solander) K.R. Hind & G.W. Saunders, an important, widespread habitat former threatened by water warming and acidification. On each side of the peninsula, three sampling sites were randomly allocated, and within each site three 20x20 quadrats were sampled.
T e a c h e r w o r k s h o p f o r t h e d e s i g n o f A s t r o n o m y I n t e r d i s c i p l i n a r y s c h o o l l e s s o n s M a x i m i l i a n o M o n t e n e g r o I n s t i t u t o d e I n v e s t i g a c i ó n M u l t i d i s c i p l i n a r i o e n C i e n c i a y T e c n o l o g í a U n i v e r s i d a d d e L a S e r e n a
Research Data Utilization Forum Research Data Utilization Forum Takaaki Aoki (Nagoya Univ.) Yasuyuki Minamiyama (Nat. Inst. Informatics) Yasuhiro Murayama (Nat. Inst. Information and Communications Tech.) Ikki Ohmukai (Univ. Tokyo) RDUF Secretariat (Japan Science and Technology Agency) Acknowledgement: This research was supported by Japan Science and Technolgy Agency (JST) as part of the Belmont Forum
Tipo de comunicación: Póster Tipo A Título: Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19 Autores: Iglesias, Morís, Daniel; de Moura, Ramos, Joaquim; Jorge, Marcos, Pedro; Míguez, Rey, Enrique; Novo, Buján, Jorge; Ortega, Hortas, Marcos Presentación del póster: Iglesias, Morís, Daniel (Investigador predoctoral) Correo-e: daniel.iglesias.moris@udc.es Institución a la que pertenece: Instituto de Investigación Biomédica de A Coruña (INIBIC) Grupo de investigación: Grupo de Visión Artificial y Reconocimiento de Patrones (Grupo VARPA) Resumen (máximo 250 palabras): La COVID-19 es una enfermedad pulmonar infecciosa causante de la pandemia mundial del año 2020. En los momentos críticos de las emergencias sanitarias, el equipo médico debe tomar decisiones importantes en un contexto de recursos limitados. En este contexto, los métodos de diagnóstico asistido por ordenador pueden ayudar en esa toma de decisiones, permitiendo identificar a los pacientes de alto riesgo. Esto se puede realizar utilizando información extraída de historiales clínicos electrónicos, tests de laboratorio o estudios de imagen. En este trabajo, presentamos un nuevo método eficiente y totalmente automático para estimar el riesgo de pacientes COVID-19, utilizando la fusión de datos multimodales con características clínicas y características profundas extraídas a partir de imágenes de radiografía torácica. Esta estimación se efectúa en 2 escenarios críticos: riesgo de hospitalización y riesgo de fallecimiento. Los resultados demuestran un gran desempeño por parte de los clasificadores, estimando ambos riesgos con una gran precisión y utilizando únicamente un subconjunto muy reducido de un conjunto de características originales notablemente más extenso. Esta reducción de la dimensionalidad en el conjunto de datos es muy ventajosa en escenarios donde los recursos computacionales son limitados. Este método totalmente automático presenta un potencial prometedor para mejorar el proceso de toma de decisiones clínicas y una mejor gestión de los recursos médicos, no solo en el contexto de la COVID-19 sino también en otros escenarios clínicos. Palabras clave (5 keywords): Fusión de datos, Estimación de riesgo, Datos clínicos, Características profundas, COVID-19, Radiología torácica
Transcriptome profiling of two coffee varieties in response to infection with an endemic X. fastidiosa subsp. fastidiosa strain from Costa Rica Vargas-Segura César1, Campos-Sánchez Rebeca2, Molina-Mora Jose3, Gatica-Arias Andrés1, Chacón-Díaz Carlos3 1Laboratorio Biotecnología de Plantas, Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica. 2Centro de Investigación en Biología Celular y Molecular (CIBCM), Universidad de Costa Rica, San José, Costa Rica. 3Centro de Investigación en Enfermedades Tropicales, Universidad de Costa Rica, San José, Costa Rica.
Colección de ESMOS 1 Exploración a la EC. 1.1.1.27 Lactato Deshidrogenasa Diana Belen Marcial-Reyes* iD Licenciatura en Biotecnología, Facultad de Ciencias Biológicas, Benemérita Universidad Autónoma de Puebla, Puebla, México. *Email: diana.marcialre@alumno.buap.mx 02 de Noviembre de 2022 DOI: http://doi.org/10.5281/zenodo.7273076 Editado por: Jesús Muñoz-Rojas (Instituto de Ciencias, Benemérita Universidad Autónoma de Puebla). Revisado por: Dalia Molina Romero (Facultad de Ciencias Biológicas, Benemérita Universidad Autónoma de Puebla). Colección de ESMOS Resumen La Lactato deshidrogenasa (LDH) es una enzima citoplasmática presente en todas las células de todos los tejidos, es tetramérica y consta de cuatro subunidades de dos tipos diferentes de monómeros polipeptídicos estos son H Y M, H viene de “Heart” y M viene de “Muscle”, estos dos se combinan y forman una familia de cinco isoenzimas: HHHH (I) y HHHMM (II) que se expresan en el miocardio, eritrocitos y riñón, HHMM (III) se
Nearby eXtremely Metal Poor galaxies with MEGARA María Luisa García-Vargas (FRACTAL S.L.N.E.) Esperanza Carrasco Licea (INAOE) Armando Gil de Paz (UCM) Mercedes Mollá Lorente (CIEMAT) Z = 7.26 z = 0.02741 d = 117.4 Mpc spaxel: 353 pc SDSSJ0314-0108 LEDA 1125628 Z = 7.06 z = 0.0017 d = 7.3 Mpc spaxel: 22 pc AGC198691 Leoncino Z = 7.35 z = 0.00200 d = 8.6 Mpc spaxel: 26 pc SDSSJ0859+3923 Z = 7.70 z = 0.00530 d = 22.7 Mpc spaxel: 68 pc AGC110507 UM133 Z = 7.46 z = 0.06540 d = 280.1 Mpc spaxel: 842 pc SDSSJ1205+4551 Z = 7.44 SDSSJ1640+2845 z = 0.00329 d = 14.1 Mpc spaxel: 42 pc Z = 7.06 AGC103435 SDSSJ0015+0104 z = 0.00686 d = 29.4 Mpc spaxel: 88 pc Z = 7.65 HS1442+4250 z = 0.00230 d = 9.9 Mpc spaxel: 30 pc Z = 7.13 Little Cab z = 0.00320 d = 13.7 Mpc spaxel: 41 pc Z = 7.54 SDSSJ0159+0751 z = 0.06110 d = 261.7 Mpc spaxel: 787 pc Z = 7.79 SDSSJ1608+3528 z = 0.03270 d = 140 Mpc spaxel: 421 pc Poster 025
How do I get Started? Using citation analysis to become an effective liaison Tyler Martindale Business & Economics Librarian PRESENTED AT: acrl (iPosterSessions - an aMuze! Interactive system) https://acrl2019-acrl.ipostersessions.com/Default.aspx?s=1F-F5-B6-97-8... 1 of 10 4/15/2019, 11:33 AM
NEWSLETTER Issue 2: October 2020 AGENT-BASED SUPPORT TOOL FOR THE DEVELOPMENT OF AGRICULTURE POLICIES The Agricore project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Grant Agreement No. 816078 In this issue: 1. AGRICORE´s Mission 1. AGRICORE´s Mission 2. Workplan 2. Workplan 3. AGRICORE 3. AGRICORE´s Use Cases - UC1 s Use Cases - UC1 4. Partners 4. Partners 5. Progress 5. Progress 6. Regional Dissemination activities 6. Regional Dissemination activities 7. Events 7. Events 8. AGRIMODELS Cluster 8. AGRIMODELS Cluster 9. Who we are 9. Who we are
Ilham Bouisaghouane Enhancing Primary Science Education through Interactive Knowledge Representations Interleaving Hands-on and Minds-on activities to enhance student’ understanding In collaboration with: I. Bouisaghouane1,2, J. Holt2,3,4, B. Bredeweg 2,5, P. Russo 1 1 Leiden Observatory, Leiden University, 2 Centre for Applied Education Research, Amsterdam University of Applied Sciences; 3 Netherlands Research School for Astronomy (NOVA), 4 Anton Pannekoek Institute for Astronomy, University of Amsterdam; .5 Informatics Institute, Faculty of Science, University of Amsterdam
Presence, diversity and seasonal fluctuation of Xylella fastidiosa potential vectors and other Auchenorrhyncha (Hemiptera) in olive agroecosystems with different management systems David Theodorou, Ioannis Koufakis, Zoi Thanou, Argyro Kalaitzaki, Ekaterini Chaldeou, Dimitrios Afentoulis, Antonios Tsagkarakis