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arXiv 2023年

作者： Lekadir, Karim Feragen, Aasa Fofanah, Abdul Joseph Frangi, Alejandro F. Buyx, Alena Emelie, Anais Lara, Andrea Porras, Antonio R. Chan, An-Wen Navarro, Arcadi Glocker, Ben Botwe, Benard O. Khanal, Bishesh Beger, Brigit Wu, Carol C. Cintas, Celia Langlotz, Curtis P. Rueckert, Daniel Mzurikwao, Deogratias Fotiadis, Dimitrios I. Zhussupov, Doszhan Ferrante, Enzo Meijering, Erik Weicken, Eva González, Fabio A. Asselbergs, Folkert W. Prior, Fred Krestin, Gabriel P. Collins, Gary S. Tegenaw, Geletaw S. Kaissis, Georgios Misuraca, Gianluca Tsakou, Gianna Dwivedi, Girish Kondylakis, Haridimos Jayakody, Harsha Woodruf, Henry C. Mayer, Horst Joachim Aerts, Hugo JWL Walsh, Ian Chouvarda, Ioanna Buvat, Irène Tributsch, Isabell Rekik, Islem Duncan, James Kalpathy-Cramer, Jayashree Zahir, Jihad Park, Jinah Mongan, John Gichoya, Judy W. Schnabel, Julia A. Kushibar, Kaisar Riklund, Katrine Mori, Kensaku Marias, Kostas Amugongo, Lameck M. Fromont, Lauren A. Maier-Hein, Lena Alberich, Leonor Cerdá Rittner, Leticia Phiri, Lighton Marrakchi-Kacem, Linda Donoso-Bach, Lluís Martí-Bonmatí, Luis Cardoso, M. Jorge Bobowicz, Maciej Shabani, Mahsa Tsiknakis, Manolis Zuluaga, Maria A. Bielikova, Maria Fritzsche, Marie-Christine Camacho, Marina Linguraru, Marius George Wenzel, Markus De Bruijne, Marleen Tolsgaard, Martin G. Ghassemi, Marzyeh Ashrafuzzaman, Md Goisauf, Melanie Yaqub, Mohammad Abadía, Mónica Cano Mahmoud, Mukhtar M.E. Elattar, Mustafa Rieke, Nicola Papanikolaou, Nikolaos Lazrak, Noussair Díaz, Oliver Salvado, Olivier Pujol, Oriol Sall, Ousmane Guevara, Pamela Gordebeke, Peter Lambin, Philippe Brown, Pieta Abolmaesumi, Purang Dou, Qi Lu, Qinghua Osuala, Richard Nakasi, Rose Zhou, S. Kevin Napel, Sandy Colantonio, Sara Albarqouni, Shadi Joshi, Smriti Carter, Stacy Klein, Stefan Petersen, Steffen E. Aussó, Susanna Awate, Suyash Raviv, Tammy Riklin Cook, Tessa Mutsvangwa, Tinashe E.M. Rogers, Wendy A. Niessen, Wiro J. Puig-Bosch, Xènia Zeng, Yi Mohammed, Yunusa G. Aquino, Yves Saint James Salahuddin, Zohaib Starmans, Martijn P.A. Department de Matemàtiques i Informàtica Universitat de Barcelona Barcelona Spain Barcelona Spain DTU Compute Technical University of Denmark Kgs Lyngby Denmark Department of Mathematics and Computer Science Faculty of Science and Technology Milton Margai Technical University Freetown Sierra Leone Center for Computational Imaging & Simulation Technologies in Biomedicine Schools of Computing and Medicine University of Leeds Leeds United Kingdom Cardiovascular Science and Electronic Engineering Departments KU Leuven Leuven Belgium Institute of History and Ethics in Medicine Technical University of Munich Munich Germany Faculty of Engineering of Systems Informatics and Sciences of Computing Galileo University Guatemala City Guatemala Department of Biostatistics and Informatics Colorado School of Public Health University of Colorado Anschutz Medical Campus AuroraCO United States Department of Medicine Women’s College Research Institute University of Toronto Toronto Canada Universitat Pompeu Fabra BarcelonaBeta Brain Research Center Barcelona Spain Department of Computing Imperial College London London United Kingdom School of Biomedical & Allied Health Sciences University of Ghana Accra Ghana Department of Midwifery & Radiography School of Health & Psychological Sciences City University of London United Kingdom Kathmandu Nepal European Heart Network Brussels Belgium Department of Thoracic Imaging University of Texas MD Anderson Cancer Center Houston United States IBM Research Africa Nairobi Kenya Departments of Radiology Medicine and Biomedical Data Science Stanford University School of Medicine Stanford United States Institute for AI and Informatics in Medicine Klinikum rechts der Isar Technical University Munich Munich Germany Department of Computing Imperial College London London United Kingdom Muhimbili University of Health and Allied Sciences Dar es Salaam Tanzania United Republic of Ioannina Greece Almaty AI Lab Almaty Kazakhstan

Background: Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. In recent years, concerns have been raised about the clinical, technical, ethical and legal risks associated with healthcare AI. To increase adoption in the real world, it is essential that AI technologies are trusted and accepted by patients, clinicians, health organisations and authorities. This paper describes the FUTURE-AI framework as the first international consensus guideline for trustworthy AI in healthcare. Methods: The FUTURE-AI consortium was founded in 2021 and now comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two-year period, the consortium established guiding principles and best practices for trustworthy and deployable AI through an iterative process comprising an in-depth literature review, a modified Delphi survey, and online consensus meetings. Findings: The FUTURE-AI framework was established based on six guiding principles for trustworthy AI in healthcare, i.e. Fairness, Universality, Traceability, Usability, Robustness and Explainability. Through consensus, a set of 30 best practices were defined, addressing technical, clinical, socio-ethical and legal dimensions of trustworthy AI. The recommendations cover the entire lifecycle of healthcare AI, from design, development and validation to regulation, deployment, and monitoring. Interpretation: FUTURE-AI is a structured, risk-informed framework which provides guidance for constructing healthcare AI tools that will be trusted, deployed and adopted in real-world clinical practice. Researchers are encouraged to take the recommendations into account in proof-of-concept stages to facilitate future translation towards clinical practice of healthcare AI. Copyright © 2023, The Authors. All rights

关键词： Clinical research

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System analysis for technology transfer readiness assessment of horticultural postharvest

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IOP Conference Series: Materials science and Engineering 2018年第1期337卷

作者： M Hayuningtyas T Djatna Graduate Program of Agro-industrial Technology School of Graduate and Post Graduate Studies Bogor Agricultural University Indonesia Department of Agro-industrial Technology Bogor Agricultural University Indonesia

Availability of postharvest technology is becoming abundant, but only a few technologies are applicable and useful to a wider community purposes. Based on this problem it requires a significant readiness level of transfer technology approach. This system is reliable to access readiness a technology with level, from 1-9 and to minimize time of transfer technology in every level, time required technology from the selection process can be minimum. Problem was solved by using Relief method to determine ranking by weighting feasible criteria on postharvest technology in each level and PERT (program Evaluation Review Technique) to schedule. The results from ranking process of post-harvest technology in the field of horticulture is able to pass level 7. That, technology can be developed to increase into pilot scale and minimize time required for technological readiness on PERT with optimistic time of 7,9 years. Readiness level 9 shows that technology has been tested on the actual conditions also tied with estimated production price compared to competitors. This system can be used to determine readiness of technology innovation that is derived from agricultural raw materials and passes certain stages.

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Evaluation of total phenolic compounds and antioxidant activity in amazon fruit

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Chemical Engineering Transactions 2018年 64卷 649-654页

作者： Ismael Montero, F. Chagas, Edvan A. Melo Filho, Antonio A. D. E. Saravia, Selvin A. M. Santos, Ricardo C. Chagas, Pollyana Cardoso Ednalva da, D. R. S. Duarte Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Embrapa Rodovia 174 Km 8 Industrial District Boa VistaRRCEP 69301970 Brazil Post-Graduate Program in Chemistry PPGQ Center for Research and Graduate Studies in Science and Technology NPPGCT UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post Graduate in Agronomy POSAGRO UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil National University of Agriculture Carretera a Dulce Nombre de Culmi El Espino Catacamas-Olancho Spain National Postdoctoral Program of CAPES PNPD/CAPES associated to POSAGRO/UFRR Campus Cauamé BR 174 s/n Km 12 District Monte Cristo Boa Vista-RRCEP 69310-250 Brazil Graduate Program in Chemistry Center in Science and Technology CCT UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil

ISBN: (纸本)9788895608563

In this work, nine fruits cultivated in the northern Amazon were studied: abiu (Pouteria caimito), acerola (Malpighia emarginata), araçá (Psidium cattleianum), bacuparí (Rheedia gardneriana), biribá (Rollinia mucosa), caçarí (Myrciaria dubia) (Annona squamosa), graviola (Annona muricata) and taperebá (Spondias mombin L.). The total phenolic compounds were evaluated in the pulp, seed and bark by means of the colorimetric reaction of Folin Ciocateau, as well as the antioxidant capacity in the different extracts. DPPH method and on the other hand by the iron reduction method. As the fruits that presented a greater quantity of phenolic compounds are in mg gallic acid. 100g-1 sample, we have: bark of camu camu (1241.1 ± 12.04), followed by the abiu bark with (1132,43 ± 8,10), araçá pulp (1080,21 ± 1,1) and Pulp of acerola (1071.4 ± 22.2). Evaluating the antioxidant capacity, the evaluated fruits that present a higher value of antioxidant capacity are the Araçá seed with EC50 value of (471,23 ± 21,23 g / g DPPH) and for iron reduction of (57,21 ± 4.11 mmol Fe2SO4 / g), followed by the EC50 of abiu bark (521.71 ± 1.34 g / g DPPH) and iron reduction of 411.43 ± 27.12 µmol Fe2SO4 / g), and for the camu-camu pulp (549.24 ± 21.13 g / g DPPH) and for reduction of iron (235.47 ± 11.44 mmol Fe2SO4 / g). Multivariate analysis methods were applied through Principal Component Analysis (PCA) with pulp having the highest correlation between data variability with 93.6% according to PCA. Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Fruits

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Retracted: Implementation Method CUSUM to Determine the Accident Prone Areas in Web Based

Retracted: Implementation Method CUSUM to Determine the Acci...

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2018 Workshop on Multidisciplinary and Its Applications: Applied Mathematics, computer science, Information Systems, and Information technology, WMA-Mathcomtech 2018

作者： Dinata, Rozzi Kesuma Abdullah, Dahlan Hartono, H. Erliana, Cut Ita Riasti, Berliana Kusuma Iskandar, Akbar Sari, Ifit Novita Nurmawati, N. Nanuru, Ricardo Freedom Putri, Lusi Dwi Manurung, Rosida Tiurma Sriadhi, S. Saleh, A.A. Astari, T. Khaddafi, Muammar Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Informatics Universitas Sebelas Maret Surakarta Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Departement Of: Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of Industry Technique University of 45 Surabaya Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia Department of Civil Engineering Universitas Lancang Kuning Pekanbaru Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Statistics Financial and Social Sciences Research Group Indonesia Department of Elementary School Teacher Education STKIP Citra Bangsa Aceh Utara Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia

At the Unit Laka Lantas Polres Lhokseumawe determining accident-prone areas on roads in Lhokseumawe still using manual systems. Determination of accident-prone areas are less effective because the police Unit Laka Lantas Polres Lhokseumawe just using the data of the last year and had to repeatedly calculate manually accident-prone areas based on the number of human casualties. In this study the system implementation CUSUM method (Cummulative Summary) to determine the accident-prone areas designed using the web-based programming language PHP. In this system there are three processes to determine areas prone to accidents, the accident rate calculations based on the weighted severity, blacksite calculations using the Z-Score method for determining areas prone to accident blackspots and calculations using the CUSUM method to determine the critical points of an accident. The data used are secondary data obtained from the Police Unit Laka Lantas Polres Lhokseumawe years 2009-2013. © Published under licence by IOP Publishing Ltd.

关键词： Accidents

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Chemical composition, antioxidant and biological activity of leaves passiflora foetida

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Chemical Engineering Transactions 2018年 64卷 241-246页

作者： de Melo Filho, Antonio A. Kamezaki, Ângela Kinuko Ribeiro, Pedro R. E. de Melo, Ana Cristina G. R. Fernández, Ismael M. Santos, Ricardo C. Chagas, Edvan A. Chagas, Pollyana C. Post-Graduate Program in Chemistry PPGQ Center for Research and Graduate Studies in Science and Technology NPPGCT UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil Departament of Chemistry UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil Post-Graduate in Natural Resources Program Federal University of Roraima UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Paricarana Campus Boa Vista-RRCEP 69304-000 Brazil National Postdoctoral Program of CAPES PNPD/CAPES associated to the Postgraduate Program in Agronomy POSAGRO/UFRR and Embrapa Boa Vista-RR Brazil Embrapa CNPq Research Produtivity Scholarship Rodovia 174 Km 8 Industrial District Boa VistaRRCEP 69301970 Brazil POSAGRO/UFRR Cauame Campus Boa Vista-RR Brazil

ISBN: (纸本)9788895608563

The aim of this study was to determine the chemical composition (IR), characterize minerals (ICP-OES), antioxidant activity, total phenols, inhibition of acetylcholinesterase (AChE) and antimicrobial activity of leaf extract of wild passion fruit (Passiflora foetida L.). The results obtained by Infrared of the hexane extract indicate the presence of aliphatic compounds such as fatty acids and esters, long chain alcohols and steroids. The major minerals were: phosphorus (1093.00 mg L-1), magnesium (418.77 mg L-1), sulfur (282.56 mg L-1) and potassium (157.46 mg L-1). The total phenolic content was 16.78 mg of gallic acid equivalent 100 g-1 extract. The hexane extract showed inhibition of 17.97% for antioxidant activity. The activity on AChE was 96.46% inhibition. As for microorganisms, the extract showed inhibition on Gram-positive bacteria Bacillus cereus (77.93%), Staphylococcus aureus (88.25%), Gram-negative Citrobacter freundii (82.74%), Salmonella typhimurium (83.21%) and yeast C. albicans (53.29%). Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Hexane

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Bioactive extracts from annona hypoglauca

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Chemical Engineering Transactions 2018年 64卷 289-294页

作者： dos Santos, Ricardo C. Chagas, Edvan A. de Melo Filho, Antônio A. Takahashi, Jacqueline A. Montero, Ismael F. Chagas, Pollyana C. Ribeiro, Pedro R. E. de Melo, Cristina G. R. National Postdoctoral Program of CAPES associated to POSAGRO/UFRR Campus Cauamé BR 174 s/n Km 12 District Monte Cristo Boa Vista-RRCEP 69310-250 Brazil Embrapa Rodovia 174 Km 8 Industrial District Boa VistaRRCEP 69301970 Brazil Post-Graduate Program in Chemistry Center for Research and Graduate Studies in Science and Technology UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Department of Chemistry Institute of Exact Sciences Universidade Federal de Minas Gerais UFMG Av Antonio Carlos no. 6627 Pampulha Belo Horizonte-MGCEP 31270-901 Brazil Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post Graduate in Agronomy POSAGRO UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post-Graduate in Natural Resources Program Federal University of Roraima Boa Vista-RR Brazil

ISBN: (纸本)9788895608563

The aim was to analyze the bioactive potential of hexane and ethanolic extracts from leaves of Annona hypoglauca, Roraima, Brazil, against fungi (Aspergillus flavus and Fusarium proliferatum) and yeast (Candida albicans) and gram-positive bacteria (Staphylococcus aureus and Streptococcus sanguinis) and gram-negative (Escherichia coli and Salmonella typhimurium), antioxidant, antiacetylcholinesterase and cytotoxic activities against Artemia salina, in addition to verify a phytochemical screening. Antioxidant activity of the leaves ethanolic extract 51% to 50 µg mL-1, 16% at the same concentration for the hexane extract. The antiacetylcholinesterase activity presented high variation of the ethanolic extract and 59.76% in the hexane extract. The cytotoxic activity against A. salina was more efficient for the ethanolic extract of the leaves in 27% to 500 µg mL-1. The bioactivity of fungi and yeasts, the ethanolic extract of the leaves of A. hypoglauca showed no inhibition on the fungi F. proliferatum and A. flavus, but the hexane extract inhibited 40.0% and 59.5% on these fungi, respectively. For the inhibition of C. albicans, the extracts hexane (94.5-96.9%) and ethanolic (89.2-92.6%) of the leaves of A. hypoglauca, at all concentrations. Excellent inhibitions on gram-positive bacteria were given by the hexane extract in 100% to 500 µg mL-1, but low inhibition for the ethanolic extract for S. aureus in 21.6% to 125 µg mL-1 and for S. Sanguinis 35.5% to 500 µg mL-1. Inhibitions on gram-negative bacteria varied from 26.1% to 42.4% in ethanolic extract and 10.7% to 18.6% in hexanic extract for E. coli;as inhibition of S. typhimurium occurred from 9.3% to 61.1% in ethanolic extract and from 9.1% to 41.2% in hexane extract. Regarding phytochemical screening, the class of compounds observed qualitatively suggests the presence of saponins, flavonoids, triterpenoids and tannins. Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Hexane

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Bioactive extracts from swartzia latifolia

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Chemical Engineering Transactions 2018年 64卷 211-216页

作者： da Costa, Gilzonia Veloso da Costa, Habdel N. R. dos Santos, Ricardo C. de Melo Filho, Antônio A. Chagas, Edvan A. Montero, Ismael F. Chagas, Pollyana C. de Melo, Ana Cristina G. R. Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post-Graduate Program in Chemistry PPGQ Center for Research and Graduate Studies in Science and Technology NPPGCT UFRR and Chemistry Department UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil National Postdoctoral Program of CAPE associated to POSAGRO/UFRR Campus Cauamé BR 174 s/n Km 12 District Monte Cristo Boa Vista-RRCEP 69310-250 Brazil Embrapa Rodovia 174 Km 8 Industrial District Boa Vista-RRCEP 69301970 Brazil Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post Graduate in Agronomy POSAGRO UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil

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Chemical characterization of oils and fats from amazonian fruits by1H NMR

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Chemical Engineering Transactions 2018年 64卷 235-240页

作者： Santos, Ricardo C. Chagas, Edvan A. de Melo Filho, Antonio A. Takahashi, Jacqueline A. Montero, Ismael F. dos Santos, Gabriel F. Chagas, Pollyana C. de Melo, Cristina G. R. National Postdoctoral Program of CAPES PNPD/CAPES associated to the Postgraduate Program in Agronomy of Universidade Federal de Roraima POSAGRO/UFRR Campus Cauamé BR 174 s/n Km 12 District Monte Cristo Boa Vista-RRCEP 69310-250 Brazil Brazilian Agricultural Research Corporation Embrapa Rodovia 174 Km 8 Industrial District Boa VistaRRCEP 69301970 Brazil Embrapa Boa Vista-RR-Brazil CNPq Research Produtivity Scholarship Brazil Post-Graduate Program in Chemistry PPGQ Center for Research and Graduate Studies in Science and Technology NPPGCT UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Department of Chemistry Institute of Exact Sciences Universidade Federal de Minas Gerais UFMG Av Antonio Carlos no. 6627 Pampulha Belo Horizonte-MGCEP 31270-901 Brazil Post Graduate Program in Biodiversity and Biotechnology Bionorte State Coordination of Roraima UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post Graduate in Agronomy POSAGRO/UFRR Campus Paricarana Boa Vista-RRCEP 69304-000 Brazil Post-Graduate in Natural Resources Program PPGRN/UFRR Boa Vista-RRCEP 69304-000 Brazil

ISBN: (纸本)9788895608563

Native plants from the Brazilian Amazon Biome are rich in nutrients, oils and fats and, therefore, represent a very important regional food resource. There is a global interest in the nutritional potential of tropical fruits, the potential of Amazonian fruits as source of essential fatty acids is still under exploited, since their composition is still understudied.1H Magnetic Resonance Nuclear (1H NMR) is a robust spectroscopic tool to profile fatty acids components in oils. The objectives of this work were to use1H NMR to determine the fatty acids profile and the physicochemical properties of crude oils and fats obtained from fruits of Brazilian Amazon: açaí, ata-brava, bacaba, buriti, buritirana, yellow murici, red murici, piaçaba braba, tucumanzinho, pupunha red and yellow varieties. Oils were obtained by Soxhlet extraction using hexane as a solvent. After solvent removal by rotoevaporation, the resulting oils and fats were analyzed by1H NMR spectroscopy. Unsaturated fatty acids oleic (?9), linoleic (?6) and linolenic (?3) acids were quantified in the oils and their physicochemical properties were determined. It was observed that the oils have predominately ?9 fatty acids, followed by ?6 and ?3 representatives. The physicochemical properties confirmed edibility and good quality of oils and fats present in the aforementioned Amazonian fruits. Copyright © 2018, AIDIC Servizi S.r.l.

关键词： Fruits

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Implementation of Augmented Reality in Pretend Play Therapy for Children with Autism Spectrum Disorder

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Journal of Physics: Conference Series 2019年第1期1235卷

作者： M F Syahputra A P Angkasih S Purnamawati U Andayani D Abdullah S Sriadhi A Iskandar T M Rosida J Fitriany I N Sari M D Utama R F Nanuru Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Informatics Engineering STMIK AKBA Makassar Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Pediatric Universitas Malikussaleh Aceh Utara Indonesia Departement of Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of Social and Political Science Universitas Kristen Indonesia Maluku Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia

Autism Spectrum Disorder is a pervasive developmental disorder that will affect children in terms of interpersonal communication, social interaction, and imaginative levels in play. Many therapies to help the motor neuron performance is one of them Pretend Play. Pretend Play is a therapy that invites children in playing to demonstrate something else and tell how to use objects that are considered in the child's imagination. However, in the era of highly developed technology, many fields have used the Augmented Reality method as a visualization of various aspects. With this method researchers will present the therapeutic visualization of the block to 3D transportation tool that is useful for strengthening motor nerves and visual strength of the child. The system can run well during marker detection, marker movement, and 3D object display with the accuracy of precision angle and distance between virtual world with real world reach 100% with angle 0 at distance 31 cm and the maximum distance from the marker is 46 cm and the maximum angle is 30˚.

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The Biodiversity of Flora and Fauna in the Re-vegetation Area in The post-Mining Area of Pongkor

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IOP Conference Series: Earth and Environmental science 2020年第1期501卷

作者： A Kusumoarto A Gunawan Machfud A Hikmat Doctoral Student Program Natural Resource and Environmental Management Science School of Post-Graduate IPB University Jl. Raya Pajajaran Bogor Indonesia 16143 Lecturer in Architecture Study Program Faculty of Technic and Computer Science Indraprasta PGRI University Jl. Raya Nangka No. 58C RT.5/RW.5 Tanjung Barat Kecamatan Jagakarsa Kota Jakarta Selatan Daerah Khusus Ibukota Jakarta 12530 Lecturer in Landscape Architecture Department IPB University Jl. Raya Darmaga Bogor Indonesia 16680 Lecturer in AgroIndustrial Technology Department IPB University Jl.Raya Darmaga Bogor Indonesia 16680 Lecturer in Conservation of Forest and Ecotourism Department IPB University Jl. Raya Darmaga Bogor Indonesia 16680

The Pongkor post-mining area is designated as one of the ecotourism areas in Bogor. This area has biodiversity of flora and fauna. This study aims to: (1) analysis the importance value index (IVI) of flora types; (2) analysis species richness index, species diversity index, and relative species abundance index; (3) analysis the beauty, the uniqueness and the rarity of the flora and fauna types. The method used in this research is quantitative descriptive. Based on the identification results, 185 species of flora are distributed in this region. During the rainy season, 15 species of herpetofauna were identified, 32 types of aves, and 4 types of mammals, while in the dry season 19 species of herpetofauna were identified, 23 types of aves, and 2 types of mammals. Based on the results of the analysis conducted on these flora and fauna, there are flora species that have high IVI values and some beautiful and unique flora species that are in the category of endangered species. Besides that, there are also fauna species which have a value of species richness index, species diversity index, and relative species abundance index, as well as some beautiful, unique, and fauna species that are in the category of endangered species.

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