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doi_________::87863858ca462b68c4fe1b9f80a38a41 2025-12-20T13:41:16.638938810

10.1002/chin.197626146 50|doiboost____|87863858ca462b68c4fe1b9f80a38a41 10.1002/chin.197626146 K. KRISHAN N. SINGH 1976-06-29 <jats:title>Abstract</jats:title><jats:p>Die 1‐Aza‐1,3‐butadiene (I) reagieren mit Essigsäureanhydrid bei 20 ‐ 120°C in Ausbeuten zwischen 30 und 90% zu den substituierten Acetaniliden (II) und o‐Nitrozimtaldehyd (III).</jats:p> 2016-03-31 2016-03-29 1976-06-29 Wiley Crossref false false false Chemischer Informationsdienst false false 0.91 null 1976-06-29 10.1002/chin.197626146 Wiley Online Library User Agreement https://doi.org/10.1002/chin.197626146

doi_dedup___::79d0508f6d62b7f20378ded89063a36d 2025-12-20T13:50:29.887303169

50|datacite____::79d0508f6d62b7f20378ded89063a36d 10.48550/arxiv.2108.01469 50|od________18::faf1eaa4dd051f8f22412c844cc8ecfe oai:arXiv.org:2108.01469 10.48550/arxiv.2108.01469 2108.01469 Barnekow, Vanessa Binder, Dominik Kromrey, Niclas Munaretto, Pascal Schaad, Andreas Schmieder, Felix 2021-01-01 Synthesizing voice with the help of machine learning techniques has made rapid progress over the last years [1] and first high profile fraud cases have been recently reported [2]. Given the current increase in using conferencing tools for online teaching, we question just how easy (i.e. needed data, hardware, skill set) it would be to create a convincing voice fake. We analyse how much training data a participant (e.g. a student) would actually need to fake another participants voice (e.g. a professor). We provide an analysis of the existing state of the art in creating voice deep fakes, as well as offer detailed technical guidance and evidence of just how much effort is needed to copy a voice. A user study with more than 100 participants shows how difficult it is to identify real and fake voice (on avg. only 37 percent can distinguish between real and fake voice of a professor). With a focus on German language and an online teaching environment we discuss the societal implications as well as demonstrate how to use machine learning techniques to possibly detect such fakes. 2021-01-01 FOS: Computer and information sciences Computer Science - Machine Learning Sound (cs.SD) Computer Science - Cryptography and Security 4. Education 05 social sciences 02 engineering and technology 16. Peace & justice Computer Science - Sound Machine Learning (cs.LG) Audio and Speech Processing (eess.AS) 0202 electrical engineering, electronic engineering, information engineering FOS: Electrical engineering, electronic engineering, information engineering Cryptography and Security (cs.CR) Electrical Engineering and Systems Science - Audio and Speech Processing 0505 law 2021-08-02 2021-08-04 2021-01-01 2021-01-01 arXiv true false false true false 0.8 dedup-result-decisiontree-v4 openorgs____::143710baf38394155543081faafed6df https://www.hs-offenburg.de Offenburg University of Applied Sciences Offenburg University of Applied Sciences openaire____::18daf64155f81780cd69a2de6fdbae8e https://archive.softwareheritage.org/browse/origin/https://github.com/seungwonpark/melgan https://archive.softwareheritage.org/browse/origin/https://github.com/seungwonpark/melgan https://github.com/seungwonpark/melgan https://github.com/seungwonpark/melgan dedup_wf_002::e37328dc4f3dab788e36d9a861f3bc3f https://archive.softwareheritage.org/browse/origin/https://github.com/Rayhane-mamah/Tacotron-2 https://archive.softwareheritage.org/browse/origin/https://github.com/Rayhane-mamah/Tacotron-2 https://github.com/keithito/tacotron https://github.com/keithito/tacotron A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model https://github.com/NVIDIA/tacotron2 https://github.com/NVIDIA/tacotron2 https://archive.softwareheritage.org/browse/origin/https://github.com/NVIDIA/tacotron2 https://archive.softwareheritage.org/browse/origin/https://github.com/NVIDIA/tacotron2 https://github.com/Kyubyong/tacotron https://github.com/Kyubyong/tacotron https://github.com/thuhcsi/tacotron https://github.com/thuhcsi/tacotron https://github.com/Rayhane-mamah/Tacotron-2/commit/0ae2901b428afd4127272154b71705e2799a484d https://github.com/Rayhane-mamah/Tacotron-2/commit/0ae2901b428afd4127272154b71705e2799a484d https://archive.softwareheritage.org/browse/origin/https://github.com/Kyubyong/tacotron https://archive.softwareheritage.org/browse/origin/https://github.com/Kyubyong/tacotron dedup_wf_002::59e0d6f7d77ad2e9e4b4b70cbd51c3f7 https://github.com/AeneasVerif/aeneas https://github.com/AeneasVerif/aeneas https://archive.softwareheritage.org/browse/origin/https://github.com/readbeyond/aeneas https://archive.softwareheritage.org/browse/origin/https://github.com/readbeyond/aeneas https://github.com/readbeyond/aeneas https://github.com/readbeyond/aeneas Synthesizing voice with the help of machine learning techniques has made rapid progress over the last years [1] and first high profile fraud cases have been recently reported [2]. Given the current increase in using conferencing tools for online teaching, we question just how easy (i.e. needed data, hardware, skill set) it would be to create a convincing voice fake. We analyse how much training data a participant (e.g. a student) would actually need to fake another participants voice (e.g. a pro 2021-08-02 http://arxiv.org/abs/2108.01469 http://arxiv.org/abs/2108.01469 2108.01469 Binder, Dominik Schmieder, Felix Munaretto, Pascal Schaad, Andreas 2021-08-02 Kromrey, Niclas Barnekow, Vanessa 2021-01-01 Synthesizing voice with the help of machine learning techniques has made rapid progress over the last years [1] and first high profile fraud cases have been recently reported [2]. Given the current increase in using conferencing tools for online teaching, we question just how easy (i.e. needed data, hardware, skill set) it would be to create a convincing voice fake. We analyse how much training data a participant (e.g. a student) would actually need to fake another participants voice (e.g. a pro 2021-01-01 CC BY https://dx.doi.org/10.48550/arxiv.2108.01469 https://dx.doi.org/10.48550/arxiv.2108.01469 Binder, Dominik Schmieder, Felix 10.48550/arxiv.2108.01469 Munaretto, Pascal Schaad, Andreas arXiv Kromrey, Niclas Barnekow, Vanessa 2021-08-02 2108.01469 http://arxiv.org/abs/2108.01469 2021-01-01 10.48550/arxiv.2108.01469 CC BY https://doi.org/10.48550/arxiv.2108.01469 [1] Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio, Q. Le, Y. Agiomyrgiannakis, R. Clark, and R. A. Saurous, Tacotron: Towards end-to-end speech synthesis, 2017. arXiv: 1703.10135 [cs.CL]. [2] C. Stupp, Fraudsters Used AI to Mimic CEO's Voice in Unusual Cybercrime Case, Last Access: 14.07.2021, Aug. 2019. [Online]. Available: https://www.wsj.com/articles/fraudsters- useai - to - mimic - ceos - voice - in - unusual - cybercrime - case - 11567157402. [3] J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerry-Ryan, R. A. Saurous, Y. Agiomyrgiannakis, and Y. Wu, Natural tts synthesis by conditioning wavenet on mel spectrogram predictions, 2018. arXiv: 1712.05884 [cs.CL]. [4] A. Łańcucki, Fastpitch: Parallel text-to-speech with pitch prediction, 2021. arXiv: 2006.06873 [eess.AS]. [5] Y. Ren, C. Hu, X. Tan, T. Qin, S. Zhao, Z. Zhao, and T.-Y. Liu, Fastspeech 2: Fast and high-quality end-to-end text to speech, 2021. arXiv: 2006.04558 [eess.AS]. [6] A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, and K. Kavukcuoglu, Wavenet: A generative model for raw audio, 2016. arXiv: 1609.03499 [cs.SD]. [7] NVIDIA, Deep Learning Performance Documentation, Last Access: 31.03.2021, Jun. 2021. [Online]. Available: https://docs. nvidia.com/deeplearning/performance/mixed- precisiontraining. [8] R. Prenger, R. Valle, and B. Catanzaro, Waveglow: A flowbased generative network for speech synthesis, 2018. arXiv: 1811.00002 [cs.SD]. [9] K. Kumar, R. Kumar, T. de Boissiere, L. Gestin, W. Z. Teoh, J. Sotelo, A. de Brebisson, Y. Bengio, and A. Courville, Melgan: Generative adversarial networks for conditional waveform synthesis, 2019. arXiv: 1910.06711 [eess.AS]. [10] R. Yamamoto, E. Song, and J.-M. Kim, Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram, 2020. arXiv: 1910. 11480 [eess.AS]. [11] P.-c. Hsu, C.-h. Wang, A. T. Liu, and H.-y. Lee, Towards robust neural vocoding for speech generation: A survey, 2020. arXiv: 1912.02461 [cs.SD]. [12] T. J. Maccarone, “The biphase explained: Understanding the asymmetries in coupled fourier components of astronomical time series,” Monthly Notices of the Royal Astronomical Society, vol. 435, no. 4, pp. 3547-3558, Sep. 2013, issn: 0035- 8711. doi: 10.1093/mnras/stt1546. [Online]. Available: http: //dx.doi.org/10.1093/mnras/stt1546. [13] E. A. AlBadawy, S. Lyu, and H. Farid, “Detecting ai-synthesized speech using bispectral analysis.,” in CVPR Workshops, 2019, pp. 104-109. [14] J. M. Silbey and W. Hartzog, “The upside of deep fakes,” 78 Maryland Law Review 960, 2019. [Online]. Available: https: //ssrn.com/abstract=3452633. [15] R. Chesney and D. K. Citron, “Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security,” SSRN Electronic Journal, 2018. doi: 10.2139/ssrn.3213954. [16] S. Lohani, “Social engineering: Hacking into humans,” International Journal of Advanced Studies of Scientific Research , vol. 4, no. 1, 2019. [Online]. Available: https : / / ssrn . com / abstract=3329391. [17] T. Faragó, “Deep fakes - an emerging risk to individuals and societies alike,” English, WorkingPaper 237, 2019, Series: Tilburg Papers in Culture Studies No.: 237. [18] R. Pfeferkorn, “"deepfakes" in the courtroom.,” in Boston University Public Interest Law Journal, 2020, pp. 245-276. [19] G. Swerling, Doctored audio evidence used to damn father in custody battle, The Telegraph, Ed., Last Access: 13.07.2021, 2020. [Online]. Available: https://www.telegraph. co.uk/ news/2020/01/31/deepfake- audio- used- custody- battlelawyer-reveals-doctored-evidence/. [20] S. A. Buo, “The emerging threats of deepfake attacks and countermeasures,” CoRR, vol. abs/ 2012.07989, 2020. arXiv: 2012 . 07989. [Online]. Available: https://arxiv.org/abs/2012.07989. [21] R. Goldzweig and B. Madeline, Deepfakes - how prepared are we? multi-stakeholder perspectives and a recommendations roadmap, Democracy Reporting International, Ed., 2020. [22] J. Serrieh, Beirut explosion: Twitter flags fake video showing missile striking lebanon port, Alarabiya News, Ed., Last Access: 13.07.2021, 2020. [Online]. Available: https://english. alarabiya . net / News / middle - east / 2020 / 08 / 07 / Beirut - explosion - Twitter - flags - fake - video - showing - missile - striking-Lebanon-port. [23] T. R. Duarte, “Ignoring scientific advice during the covid19 pandemic: Bolsonaro's actions and discourse,” Tapuya: Latin American Science, Technology and Society, vol. 3, no. 1, pp. 288-291, 2020. doi: 10 . 1080 / 25729861 . 2020 . 1767492. eprint: https : / / doi . org / 10 . 1080 / 25729861 . 2020 . 1767492. [Online]. Available: https://doi.org/10.1080/25729861.2020. 1767492. [1] Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio, Q. Le, Y. Agiomyrgiannakis, R. Clark, and R. A. Saurous, Tacotron: Towards end-to-end speech synthesis, 2017. arXiv: 1703.10135 [cs.CL]. [2] C. Stupp, Fraudsters Used AI to Mimic CEO's Voice in Unusual Cybercrime Case, Last Access: 14.07.2021, Aug. 2019. [Online]. Available: https://www.wsj.com/articles/fraudsters- useai - to - mimic - ceos - voice - in - unusual - cybercrime - case - 11567157402. [3] J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerry-Ryan, R. A. Saurous, Y. Agiomyrgiannakis, and Y. Wu, Natural tts synthesis by conditioning wavenet on mel spectrogram predictions, 2018. arXiv: 1712.05884 [cs.CL]. [4] A. Łańcucki, Fastpitch: Parallel text-to-speech with pitch prediction, 2021. arXiv: 2006.06873 [eess.AS]. [5] Y. Ren, C. Hu, X. Tan, T. Qin, S. Zhao, Z. Zhao, and T.-Y. Liu, Fastspeech 2: Fast and high-quality end-to-end text to speech, 2021. arXiv: 2006.04558 [eess.AS]. [6] A. van den Oord, S. Dieleman, H. Zen, K. Simonyan, O. Vinyals, A. Graves, N. Kalchbrenner, A. Senior, and K. Kavukcuoglu, Wavenet: A generative model for raw audio, 2016. arXiv: 1609.03499 [cs.SD]. [7] NVIDIA, Deep Learning Performance Documentation, Last Access: 31.03.2021, Jun. 2021. [Online]. Available: https://docs. nvidia.com/deeplearning/performance/mixed- precisiontraining. [8] R. Prenger, R. Valle, and B. Catanzaro, Waveglow: A flowbased generative network for speech synthesis, 2018. arXiv: 1811.00002 [cs.SD]. [9] K. Kumar, R. Kumar, T. de Boissiere, L. Gestin, W. Z. Teoh, J. Sotelo, A. de Brebisson, Y. Bengio, and A. Courville, Melgan: Generative adversarial networks for conditional waveform synthesis, 2019. arXiv: 1910.06711 [eess.AS]. [10] R. Yamamoto, E. Song, and J.-M. Kim, Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram, 2020. arXiv: 1910. 11480 [eess.AS]. [11] P.-c. Hsu, C.-h. Wang, A. T. Liu, and H.-y. Lee, Towards robust neural vocoding for speech generation: A survey, 2020. arXiv: 1912.02461 [cs.SD]. [12] T. J. Maccarone, “The biphase explained: Understanding the asymmetries in coupled fourier components of astronomical time series,” Monthly Notices of the Royal Astronomical Society, vol. 435, no. 4, pp. 3547-3558, Sep. 2013, issn: 0035- 8711. doi: 10.1093/mnras/stt1546. [Online]. Available: http: //dx.doi.org/10.1093/mnras/stt1546. [13] E. A. AlBadawy, S. Lyu, and H. Farid, “Detecting ai-synthesized speech using bispectral analysis.,” in CVPR Workshops, 2019, pp. 104-109. [14] J. M. Silbey and W. Hartzog, “The upside of deep fakes,” 78 Maryland Law Review 960, 2019. [Online]. Available: https: //ssrn.com/abstract=3452633. [15] R. Chesney and D. K. Citron, “Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security,” SSRN Electronic Journal, 2018. doi: 10.2139/ssrn.3213954. [16] S. Lohani, “Social engineering: Hacking into humans,” International Journal of Advanced Studies of Scientific Research , vol. 4, no. 1, 2019. [Online]. Available: https : / / ssrn . com / abstract=3329391. [17] T. Faragó, “Deep fakes - an emerging risk to individuals and societies alike,” English, WorkingPaper 237, 2019, Series: Tilburg Papers in Culture Studies No.: 237. [18] R. Pfeferkorn, “"deepfakes" in the courtroom.,” in Boston University Public Interest Law Journal, 2020, pp. 245-276. [19] G. Swerling, Doctored audio evidence used to damn father in custody battle, The Telegraph, Ed., Last Access: 13.07.2021, 2020. [Online]. Available: https://www.telegraph. co.uk/ news/2020/01/31/deepfake- audio- used- custody- battlelawyer-reveals-doctored-evidence/. [20] S. A. Buo, “The emerging threats of deepfake attacks and countermeasures,” CoRR, vol. abs/ 2012.07989, 2020. arXiv: 2012 . 07989. [Online]. Available: https://arxiv.org/abs/2012.07989. [21] R. Goldzweig and B. Madeline, Deepfakes - how prepared are we? multi-stakeholder perspectives and a recommendations roadmap, Democracy Reporting International, Ed., 2020. [22] J. Serrieh, Beirut explosion: Twitter flags fake video showing missile striking lebanon port, Alarabiya News, Ed., Last Access: 13.07.2021, 2020. [Online]. Available: https://english. alarabiya . net / News / middle - east / 2020 / 08 / 07 / Beirut - explosion - Twitter - flags - fake - video - showing - missile - striking-Lebanon-port. [23] T. R. Duarte, “Ignoring scientific advice during the covid19 pandemic: Bolsonaro's actions and discourse,” Tapuya: Latin American Science, Technology and Society, vol. 3, no. 1, pp. 288-291, 2020. doi: 10 . 1080 / 25729861 . 2020 . 1767492. eprint: https : / / doi . org / 10 . 1080 / 25729861 . 2020 . 1767492. [Online]. Available: https://doi.org/10.1080/25729861.2020. 1767492.

doi_dedup___::09098ec7cf4479d5b197e3cd9582b0a8 2025-12-20T13:49:28.918591645

10.1039/c39790000982 50|doiboost____|09098ec7cf4479d5b197e3cd9582b0a8 2044937390 10.1039/c39790000982 Yoshio Inoue Takuo Hibi Masaki Satake Harukichi Hashimoto 1979-01-01 Palladium(0)–phosphine complexes catalyse the cyclodimerisation of methylenecyclopropanes and carbon dioxide with opening of the three-membered ring to give five-membered lactones. 01 natural sciences 0104 chemical sciences 3. Good health 2004-03-30 1979-01-01 Royal Society of Chemistry (RSC) Crossref false false false Journal of the Chemical Society, Chemical Communications true false 0.8 dedup-result-decisiontree-v4 10.1039/c39790000982 Yoshio Inoue Masaki Satake 1979-01-01 https://doi.org/10.1039/c39790000982 https://doi.org/10.1039/c39790000982 Takuo Hibi 1979-01-01 Royal Society of Chemistry (RSC) Harukichi Hashimoto 1979-01-01 10.1039/c39790000982 10.1039/c39790000982 2044937390 https://doi.org/10.1039/c39790000982

doi_dedup___::0b35a43a275dd443a78fef6a76500007 2025-12-20T13:41:46.896181217

10.1080/17515831.2015.1125984 50|doiboost____|0b35a43a275dd443a78fef6a76500007 2310335267 ftunivmalaysia:oai:generic.eprints.org:68829 50|base_oa_____::f51c1762a61b116f0d070eb4b589f713 10.1080/17515831.2015.1125984 Wahab, A. H. A. Kadir, M. R. A. Kamarul, T. Harun, M. N. Syahrom, A. 2016-01-02 Six commercially available implant designs were simulated via finite element analysis. The objectives of this study are (1) to determine the effect of peg numbers and orientations to the stress distribution at the implant and cement (2) to compare the micromotion between fully cemented and partially cemented implant. An applied load of 750 N was subjected to the implant at inferior location in which pegs were distributed. The result showed, by increasing the peg numbers, implant stress decreased and increased maximum stress at cement. While, fully cemented implant had higher micromotion compared to partially cemented implant. There are no significant differences between four-fins and six-fins implants under both load conditions. In conclusion, increase in peg numbers results in decreased stress at implant and partially cemented implant can provide better stability in terms of micromotion than fully cemented as it allows bone in-growth between fins. While, adding more fins in partially cemented implant doe... 2. Zero hunger 03 medical and health sciences 0302 clinical medicine QD Chemistry 2016-02-22 2016-02-18 2016-01-02 SAGE Publications Crossref false false false Tribology - Materials, Surfaces &amp; Interfaces true false 0.8 dedup-result-decisiontree-v4 openorgs____::200889278504c9ad2071e92d1a1204e2 KUSTEM http://www.umt.edu.my/index.php?go= Universiti Malaysia Terengganu pending_org_::980efc86730cd6ff09c5994361a924e6 (UTM) http://www.utm.my UNIVERSITI TEKNOLOGI MARA (UTM) openorgs____::6562717403cbd442d96420f73ecaf040 UTM http://www.utm.my/ University of Technology Malaysia openorgs____::2cefdfb8a9fdd75b12de896b17166415 UM https://www.um.edu.my/ University of Malaya Mohammed Rafiq Abdul Kadir Muhamad Noor Harun Ardiyansyah Syahrom SAGE Publications Abdul Hadi Abdul Wahab 2016-01-02 Tunku Kamarul 10.1080/17515831.2015.1125984 2016-01-02 https://doi.org/10.1080/17515831.2015.1125984 https://doi.org/10.1080/17515831.2015.1125984 2016-01-01 10.1080/17515831.2015.1125984 https://doi.org/https://doi.org/10.1080/17515831.2015.1125984 2016-01-02 10.1080/17515831.2015.1125984 10.1080/17515831.2015.1125984 2310335267 https://doi.org/10.1080/17515831.2015.1125984

doi_dedup___::0b6889c6745a27f18cfab7e375a017b2 2025-12-20T13:45:16.167159334

10.4000/13e4s 50|doiboost____|0b6889c6745a27f18cfab7e375a017b2 20.500.13089/13e4s 50|openedition_::9b1eb24c12929e1c2ca719160a8bac16 10.4000/13e4s 20.500.13089/13e4s https://journals.openedition.org/lusotopie/pdf/8310 Tamaso, Izabela Raposo, Paulo 2024-01-01 <jats:p>Este artigo interroga a necessidade e a urgência de reagir aos atos de perpetuação colonial envolvidos nas dimensões patrimoniais, memorialistas e monumentais das narrativas históricas em espaço público. Essas dimensões, plasmadas em inaugurações celebratórias do espírito de aventura da expansão marítima, em retóricas nacionalistas acríticas e em afirmações de uma certa (“Nova”) portugalidade, de algum modo revelam o que a Revolução dos Cravos não conseguiu apagar. Serão os brasões em pedra de calçada portuguesa do Jardim do Império restos nostálgicos coloniais ou perene processo de colonialidade que nunca se dissipou? A disputa pelas narrativas nos espaços públicos servirá para pensar “qual revolução?” cinquenta anos depois?</jats:p> colonialism Carnation Revolution espaço público colonialité colonialismo Revolução dos Cravos património colonialidade espace public public space colonialisme heritage coloniality révolution des Œillets patrimoine performance 2025-02-27 2024-01-01 2024-01-01 2025-02-27 OpenEdition Crossref text/html false gold false false Lusotopie true false 0.8 dedup-result-decisiontree-v4 Cet article s’interroge sur la nécessité et l’urgence de réagir aux actes de perpétuation coloniale imbriqués dans les dimensions patrimoniales, mémorialistes et monumentales des récits historiques dans les espaces publics. Ces dimensions, matérialisées lors d’inaugurations célébrant l’esprit d’aventure de l’expansion maritime, dans une rhétorique nationaliste non critique et dans l’affirmation d’une certaine (« nouvelle ») « portugalité », révèlent en quelque sorte ce que la révolution des Œill 20.500.13089/13e4s Association des chercheurs de la revue Lusotopie Raposo, Paulo Tamaso, Izabela 2024-01-01 2024-01-01 CC BY NC https://journals.openedition.org/lusotopie/pdf/8310 https://journals.openedition.org/lusotopie/8310 https://doi.org/10.4000/13e4s https://hdl.handle.net/20.500.13089/13e4s https://journals.openedition.org/lusotopie/8310 https://doi.org/10.4000/13e4s https://hdl.handle.net/20.500.13089/13e4s 2024-01-01 CC BY NC https://doi.org/10.4000/13e4s https://doi.org/10.4000/13e4s Izabela Tamaso Paulo Raposo 10.4000/13e4s <jats:p>Este artigo interroga a necessidade e a urgência de reagir aos atos de perpetuação colonial envolvidos nas dimensões patrimoniais, memorialistas e monumentais das narrativas históricas em espaço público. Essas dimensões, plasmadas em inaugurações celebratórias do espírito de aventura da expansão marítima, em retóricas nacionalistas acríticas e em afirmações de uma certa (“Nova”) portugalidade, de algum modo revelam o que a Revolução dos Cravos não conseguiu apagar. Serão os brasões em pe 2024-01-01 OpenEdition 2024-01-01 20.500.13089/13e4s 10.4000/13e4s CC BY NC https://journals.openedition.org/lusotopie/pdf/8310 https://journals.openedition.org/lusotopie/8310 2024-01-01 10.4000/13e4s CC BY NC https://doi.org/10.4000/13e4s VRW£OJLFQ D X SHU RFV G LDOQ TXH F V GLSR" $ WXD HOV VRW£OJLFQ D X SHU RFV G LDOQ TXH F V GLSR" $ WXD HOV VRW£OJLFQ D X SHU RFV G LDOQ TXH F V GLSR" $ WXD HOV VRW£OJLFQ D X SHU RFV G LDOQ TXH F V GLSR" $ WXD HOV

doi_dedup___::0c73a5b0ae8eb06526d8b88a0d9fa315 2025-12-20T13:48:18.297531076

10.1097/00006454-200009000-00007 50|doiboost____|0c73a5b0ae8eb06526d8b88a0d9fa315 2011602377 10.1097/00006454-200009000-00007 VALERIE WATERS E. LEE FORD-JONES MARTIN PETRIC MARGARET FEARON PAUL COREY RAHIM MOINEDDEIN 2000-09-01 Objective. To determine the viral etiology of community-acquired diarrhea in children admitted to hospitals and presenting in emergency departments, pediatric practices and child care centers from November 1, 1997, to June 30, 1998. Study design. Children with diarrhea were identified in a prospective multisite cohort study and analyzed according to age, gender and duration of hospitalization. Stools were tested for rotavirus by enzyme immunoassay and for all other enteric viruses by electron microscopy. Results. Of the 2524 children identified with diarrhea, stools of 1386 (55%) were tested by enzyme immunoassay for rotavirus, and of these 1365 (54%) were screened by electron microscopy for all identifiable enteric viruses. Rotavirus was found in 32% (n = 437), adenovirus in 4% (n = 55), torovirus in 3% (n = 44), Norwalk-like viruses in 2% (n = 25) and astrovirus (n = 14) and calicivirus (n = 7) in fewer than 1% of the specimens tested. The proportion of rotavirus was significantly higher in children 12 to 23 months of age (43% of tested stools, n = 159) and 24 to 35 months of age (38% of tested stools, n = 64) (P < 0.001) than in any other age group. Toroviruses were found to approximately the same extent in children ≥36 months of age (6% of tested stools, n = 19) as those <36 months of age. Rotavirus (36% of tested stools, n = 375, P < 0.0005) and torovirus (4% of tested stools, n = 43, P < 0.004) were most often found in hospitalized patients. In contrast Norwalk-like viruses (P < 0.001) and astroviruses (P < 0.01) were more commonly detected in specimens from patients who presented to physicians' offices and who were symptomatic for gastroenteritis in child care centers. Conclusion. This study demonstrates that although all known gastroenteritis viruses were diagnosed in symptomatic children, rotavirus was the etiologic agent in most cases of diarrhea managed in the community and in the hospital. 03 medical and health sciences 0302 clinical medicine 3. Good health 2003-04-24 2000-09-01 Ovid Technologies (Wolters Kluwer Health) Crossref false false false The Pediatric Infectious Disease Journal true false 0.8 dedup-result-decisiontree-v4 openorgs____::1ba76e2ce1d7d529a66c628d877a593b University of Toronto, Canada University of Toronto https://www.utoronto.ca/ PAUL COREY MARTIN PETRIC 2000-09-01 Ovid Technologies (Wolters Kluwer Health) E. LEE FORD-JONES 10.1097/00006454-200009000-00007 2000-09-01 https://doi.org/10.1097/00006454-200009000-00007 https://doi.org/10.1097/00006454-200009000-00007 RAHIM MOINEDDEIN VALERIE WATERS MARGARET FEARON 2000-09-01 10.1097/00006454-200009000-00007 2011602377 10.1097/00006454-200009000-00007 https://doi.org/10.1097/00006454-200009000-00007

doi_________::a1c89b84e462fba81765a215a09f6c85 2025-12-20T12:56:51.563451926 2025-10-11T21:09:24+0000

50|datacite____::a1c89b84e462fba81765a215a09f6c85 10.57451/lhd.a.nb4avg_fraction.78521.1 10.57451/lhd.a.nb4avg_fraction.78521.1 OSAKABE, Masaki NAGAOKA, Kenichi TSUMORI, Katsuyoshi IKEDA, Katsunori KONDO, Tomoki SATO, Mamoru SHIBUYA, Masayuki SEKIGUCHI, Haruo KOMADA, Seiji 2021-09-02 Averaged particle fraction (E, E/2, E/3) of positive-ion-based beam injectors (ion sources) NBI#4. sh85092995 Nuclear Fusion sh85103065 Plasma Diagnostics 14010 Plasma Science 14020 Nuclear Fusion 2013-11-09 2021-09-02 2025-10-12 National Institute for Fusion Science (NIFS) false false 0.9 null openorgs____::0c23038c8a19d309824f4ba043f70ae6 National Institute for Fusion Science NIFS http://www.nifs.ac.jp/en/ openorgs____::3e0342c447fda0f9d61639b43ea7ff4e National Institutes of Natural Sciences http://www.nins.jp/english/ NINS 2021-09-02 10.57451/lhd.a.nb4avg_fraction.78521.1 https://doi.org/10.57451/lhd.a.nb4avg_fraction.78521.1

doi_________::7cc655bf12ca9d4d670628593bd2227c 2025-12-20T13:48:37.214291357

10.1007/978-94-011-8877-7_1 50|doiboost____|7cc655bf12ca9d4d670628593bd2227c 10.1007/978-94-011-8877-7_1 A. M. P. Mollema P. M. Morel 1962-01-01 2012-09-03 1962-01-01 Springer Netherlands Crossref Bibliographia Neerlandica ISBN: 9789401182140 false false false false false 0.91 null 1962-01-01 10.1007/978-94-011-8877-7_1 https://doi.org/10.1007/978-94-011-8877-7_1

doi_dedup___::0b55b685ff6fdbecc39f2651f03e8539 2025-12-20T13:49:01.153097857

10.1177/008124638301300302 50|doiboost____|0b55b685ff6fdbecc39f2651f03e8539 2102461616 10.1177/008124638301300302 Alwyn P. Moerdyk 1983-09-01 <jats:p> In this paper a look is taken at organizational effectiveness in terms of a Person-Environment (P-E) match and it is argued that the various approaches to the improvement of on-the-job performance focus either on changes at the individual level (‘fitting the man to the job’) or at the organizational level (‘fitting the job to the man’). Furthermore it is also argued that these interventions occur at either a global preventative level or at a localized remedial level. The resulting 2 × 2 classification of four basic strategies for enhancing P-E match are discussed and evaluated. It is concluded that in a mixed-economy situation, such as occurs in South Africa at present, attention should be given to adapting organizational structures and job processes to make them more compatible with the needs and values of the local work force. </jats:p> 8. Economic growth 0502 economics and business 05 social sciences 0501 psychology and cognitive sciences 2013-03-08 1983-09-01 1983-09-01 SAGE Publications Crossref false false false South African Journal of Psychology true false 0.8 dedup-result-decisiontree-v4 1983-09-01 https://journals.sagepub.com/page/policies/text-and-data-mining-license https://doi.org/10.1177/008124638301300302 https://doi.org/10.1177/008124638301300302 SAGE Publications 1983-09-01 10.1177/008124638301300302 <jats:p> In this paper a look is taken at organizational effectiveness in terms of a Person-Environment (P-E) match and it is argued that the various approaches to the improvement of on-the-job performance focus either on changes at the individual level (‘fitting the man to the job’) or at the organizational level (‘fitting the job to the man’). Furthermore it is also argued that these interventions occur at either a global preventative level or at a localized remedial level. The resulting 2 × 2 Alwyn P. Moerdyk 1983-09-01 10.1177/008124638301300302 2102461616 10.1177/008124638301300302 https://journals.sagepub.com/page/policies/text-and-data-mining-license https://doi.org/10.1177/008124638301300302

doi_dedup___::6a85bfe3a16aee19050474060ea0f636 2025-12-20T13:49:59.080482229

50|datacite____::6a85bfe3a16aee19050474060ea0f636 10.58079/ox7z 20.500.13089/ox7z 50|openedition_::7f9c43bdd233908f9b3b2b28449a8359 10.58079/ox7z 20.500.13089/ox7z Jonathan Guyon Le Bouffy 2021-01-01 2021-12-01 2021-01-01 2021-12-01 Le carnet du Guichet text/html false false false Le carnet du Guichet true false 0.8 dedup-result-decisiontree-v4 2021-01-01 Jonathan Guyon Le Bouffy Le carnet du Guichet 2021-01-01 https://gapn.hypotheses.org/1924 https://doi.org/10.58079/ox7z https://hdl.handle.net/20.500.13089/ox7z https://gapn.hypotheses.org/1924 https://doi.org/10.58079/ox7z https://hdl.handle.net/20.500.13089/ox7z 20.500.13089/ox7z 2021-12-01 10.58079/ox7z Jonathan Guyon Le Bouffy Le carnet du Guichet 2021-12-01 https://dx.doi.org/10.58079/ox7z https://dx.doi.org/10.58079/ox7z 2021-01-01 20.500.13089/ox7z 10.58079/ox7z https://gapn.hypotheses.org/1924 2021-12-01 10.58079/ox7z https://doi.org/10.58079/ox7z