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Showing 61 - 80 results of 1,259 for search '(( significant largest decrease ) OR ( significant ((shape decrease) OR (greatest decrease)) ))', query time: 0.49s Refine Results
  1. 61
    Tobacco and alcohol use are the risk factors responsible for the greatest burden of head and neck cancers: a study from the Global Burden of Disease Study 2019

    Tobacco and alcohol use are the risk factors responsible for the greatest burden of head and neck cancers: a study from the Global Burden of Disease Study 2019 by Yue Yuan (113839)

    Published 2025
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  2. 62
    Posters by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US: United States of America).

    Posters by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US:... by Ignacio García-Espona (21395335)

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  3. 63
    Comparison cloud for lectures indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour).

    Comparison cloud for lectures indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). by Ignacio García-Espona (21395335)

    Published 2025
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  4. 64
    Top ten countries in terms of lecturers (left) and posters (right).

    Top ten countries in terms of lecturers (left) and posters (right). by Ignacio García-Espona (21395335)

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  5. 65
    Comparison cloud indicating the words that appeared most frequently with respect to each type of contribution (lectures, top, blue colour; posters, bottom, red colour) [2013-2023].

    Comparison cloud indicating the words that appeared most frequently with respect to each type of contribution (lectures, top, blue colour; posters, bottom, red colour) [2013-2023]. by Ignacio García-Espona (21395335)

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  6. 66
    Lectures and posters by country (2013-2023) [Only countries featuring at least 25 contributions] (Abbreviations: US: United States of America, BR: Brazil, MX: Mexico, KR: South Korea, TR: Turkey, TH: Thailand, IT: Italy, IN: India, JP: Japan, CA: Canada, TW: Taiwan, DE: Germany, CN: China, EG: Egypt, PK: Pakistan, GB: United Kingdom, SA: Saudi Arabia, AR: Argentina, AU: Australia, PE: Peru, RU: Russia, IL: Israel, FR: France, ES: Spain).

    Lectures and posters by country (2013-2023) [Only countries featuring at least 25 contributions] (Abbreviations: US: United States of America, BR: Brazil, MX: Mexico, KR: South Kor... by Ignacio García-Espona (21395335)

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  7. 67
    Correlogram of the relationships among the variables.

    Correlogram of the relationships among the variables. by Ignacio García-Espona (21395335)

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  8. 68
    Efficiency analysis of various countries [left column: countries ordered according to our national global indicator; central column: countries ordered according to the number of lectures they produced; right column: countries ordered according to the number of posters they produced].

    Efficiency analysis of various countries [left column: countries ordered according to our national global indicator; central column: countries ordered according to the number of le... by Ignacio García-Espona (21395335)

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  9. 69
    Comparison cloud indicating the words that appeared most frequently with regard to each type of lecturer (lecturers from the USA, top, blue colour; lecturers not from the USA, bottom, red colour) [2013-2023].

    Comparison cloud indicating the words that appeared most frequently with regard to each type of lecturer (lecturers from the USA, top, blue colour; lecturers not from the USA, bott... by Ignacio García-Espona (21395335)

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  10. 70
    Global number of lectures and posters (2013-2023).

    Global number of lectures and posters (2013-2023). by Ignacio García-Espona (21395335)

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  11. 71
    Comparison cloud for posters indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour).

    Comparison cloud for posters indicating the words that appeared most frequently in each period (2013-2017, top, blue colour; 2018-2023, bottom, red colour). by Ignacio García-Espona (21395335)

    Published 2025
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  12. 72
    Poster ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US: United States of America).

    Poster ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Kore... by Ignacio García-Espona (21395335)

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  13. 73
    Lectures by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US: United States of America).

    Lectures by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US... by Ignacio García-Espona (21395335)

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  14. 74
    Lectures by country and year [Top 2-10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan).

    Lectures by country and year [Top 2-10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan). by Ignacio García-Espona (21395335)

    Published 2025
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  15. 75
    Lecturer ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Korea, TW: Taiwan, US: United States of America).

    Lecturer ratios (women/men) by country and year [Top 10 countries] (Abbreviations: AU: Australia, BR: Brazil, CA: Canada, CN: China, DE: Germany, IT: Italy, JP: Japan, KR: South Ko... by Ignacio García-Espona (21395335)

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  16. 76
    Actual measurement of shape errors.

    Actual measurement of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”
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  17. 77
    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit production per female tree, (C) seed production per female tree; and (D) seed weight. Farming system refers to ecological vs. conventional practices; CCA1 refers to the first axis of the CCA and depicts the relationship between the % of natural habitats in the landscape and the composition of the pollinator community (increase abundance of wild bees with the increase in natural habitats); Male-to-female ratio and Male-to-female ratio<sup>2</sup> indicate linear and quadratic terms, respectively. Significant <i>p</i>-values are marked in bold. RI was estimated by summing the Akaike weights over all the models where each explanatory variable appeared, and highlights the importance of these variables in the models [75].

    Model-averaged coefficients, significance, and relative importance (RI) of the predictor variables for the GLMMs to evaluate effects on: (A) overall pollinator abundance; (B) fruit... by Carmelo Gómez-Martínez (9384385)

    Published 2025
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  18. 78
    Flow chart of sediment P fractionation procedure.

    Flow chart of sediment P fractionation procedure. by Jiayu Hu (673291)

    Published 2025
    “…The NH<sub>4</sub>Cl-Po and NaHCO<sub>3</sub>-Po concentrations in sediments showed the greatest decrease (accounting for 97.6% of total decrease) during the experiment. …”
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  19. 79
    Data Sheet 1_Spatial and temporal variability in blue carbon accumulation in the largest salt marsh in British Columbia, Canada.docx

    Data Sheet 1_Spatial and temporal variability in blue carbon accumulation in the largest salt marsh in British Columbia, Canada.docx by Karen E. Kohfeld (11936879)

    Published 2025
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  20. 80
    Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i><sub>2</sub>, in %).

    Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i><sub>2</sub>, in %). by Hong Zhang (25820)

    Published 2025
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