نتائج البحث

Epidemiology of Plum pox ‘D’ strain in Canada and the USA.

• Authors : Gottwald, Tim R.¹ (AUTHOR) ; Wierenga, Eric² (AUTHOR); Luo, Weiqi^1,3 (AUTHOR)

Subjects: *PLUM pox virus; *EPIDEMIOLOGY; *APHIDSONTARIO; UNITED States

• Source: Canadian Journal of Plant Pathology. Oct2013, Vol. 35 Issue 4, p442-457. 16p.

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Canada's federal database is inadequate for the assessment of environmental consequences of oil and gas pipeline failures.

• Authors : Belvederesi, Chiara¹; Thompson, Megan S.¹; Komers, Petr E.¹

• Source: Environmental Reviews. 2017, Vol. 25 Issue 4, p415-422. 8p. 6 Charts.

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Blackbox SSCI: Datenerfassung und Datenverarbeitung bei der kommerziellen Indexierung von Zitaten.

• Authors : Tüür-Fröhlich, Terje¹ (AUTHOR)

• Source: Information -- Wissenschaft und Praxis. Nov2019, Vol. 70 Issue 5/6, p241-248. 8p.

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Regulation of US Charitable Solicitations Since 1954.

• Authors : Barber, Putnam¹

• Source: Voluntas: International Journal of Voluntary & Nonprofit Organizations. Sep2012, Vol. 23 Issue 3, p737-762. 26p.

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Adapting psychophysiological data collection for COVID-19: The "Virtual Assessment" model.

• Authors : Tabachnick AR; Department of Psychological and Brain Sciences, University of Delaware, Newark, Delaware, USA.; Sellers T

Subjects: COVID-19*; Data Collection ; Female

• Source: Infant mental health journal [Infant Ment Health J] 2022 Jan; Vol. 43 (1), pp. 185-197. Date of Electronic Publication: 2021 Dec 21.Publisher: Human Sciences Press] Country of Publication: United States NLM ID: 8007859 Publication Model: Print-Electronic

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Self-supervised representation learning from electroencephalography signals ; Apprentissage de représentations auto-supervisé à partir de signaux d'électroencéphalographie

• Authors : Banville, Hubert; Albuquerque, Isabela; Hyvärinen, Aapo ...

Subjects: self-supervised learning; representation learning; electroencephalographyPittsburgh; United States

• Source: MLSP 2019 - IEEE 29th International Workshop on Machine Learning for Signal Processing ; https://hal.science/hal-02361350 ; MLSP 2019 - IEEE 29th International Workshop on Machine Learning for Signal

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