HDECO: A method for Decreasing energy and cost by using virtual machine migration by considering hybrid parameters by Arash GhorbanniaDelavar (22563696)

“…</p><p dir="ltr">Compared to the ECIB algorithm and previous approaches, HDECO achieved significant improvements:</p><ul><li><b>Up to 10% reduction in energy consumption</b></li><li><b>8% decrease in overall execution cost</b></li><li><b>Better real execution time and fewer unnecessary migrations</b></li></ul><p dir="ltr">This makes HDECO an effective and lightweight solution for instance-intensive cloud workflows.…”

The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. …”

Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves. by Katie D. Pool (20141584)

Participant demographics. * P-values were determined using Fisher-Freeman-Halton test when contingency tables are larger than 2 × 2. by Elie Mulhem (22537863)

Point cloud fusion instance effect. by Hongliang Zou (20707270)

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Word cloud with key elements of an Active Learning Classroom. by Mairena Sánchez-López (684092)

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

Displacement cloud maps. by Maogang Tian (21485116)

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

Thermoneutrality decreased sepsis survival. by Goldia Chan (21453340)

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

The Mach number cloud distribution on three cross sections at different HBRs. by Jingya Dong (19959282)

Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

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Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups. by Cristina Dolciotti (16317330)

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Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. by Cristina Dolciotti (16317330)

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Flow diagram. by Cristina Dolciotti (16317330)

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Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

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Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

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Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

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