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significant shape » significant change (Expand Search), significant gap (Expand Search), significant side (Expand Search)
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step decrease » sizes decrease (Expand Search), teer decrease (Expand Search), we decrease (Expand Search)
Showing 101 - 120 results of 1,356 for search '(( significant shape decrease ) OR ( significant ((step decrease) OR (greatest decrease)) ))', query time: 0.46s Refine Results
  1. 101
    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)

    Published 2025
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  2. 102
    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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  3. 103
    Thematic cloud for posters [2013-23].

    Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

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  4. 104
    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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  5. 105
    Posters by gender.

    Posters by gender. by Ignacio García-Espona (21395335)

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  6. 106
    Correlogram of the relationships among the variables.

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

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  7. 107
    Thematic clouds for lectures.

    Thematic clouds for lectures. by Ignacio García-Espona (21395335)

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  8. 108
    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. 109
    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. 110
    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. 111
    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)

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  12. 112
    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. 113
    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. 114
    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)

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  15. 115
    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. 116
    Sample Data.

    Sample Data. by Ignacio García-Espona (21395335)

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  17. 117
    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)

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  18. 118
    Generated spline library.

    Generated spline library. 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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  19. 119
    Correlation coefficient matrix.

    Correlation coefficient matrix. 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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  20. 120
    RMSE versus learning rate.

    RMSE versus learning rate. 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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