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

“…<h2>Summary</h2><p dir="ltr">This research introduces <b>HDECO</b> (Hybrid Decreasing Energy and Cost Optimization) — a method designed to reduce both energy consumption and execution cost in cloud datacenters through intelligent virtual machine migration. …”

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

“…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”

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

“…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

Subjects:

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

<b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

“…Nest boxes were installed along an elevational gradient of approximately 1000 m a.sl., either in forest gaps with fluctuating microclimatic conditions or in closed forests with buffered microclimates. We found that nest mass increased by ~ 60% along the elevational gradient, but the effect of canopy openness on nest mass was not significant, while nest mass decreased along the ranked species from the smallest <i>Periparus ater</i> to the medium-sized <i>Cyanistes caeruleus</i> and the largest <i>Parus major</i>. …”

Displacement cloud maps. by Maogang Tian (21485116)

Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

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

“…<div><p>The study proposes a multi-sensor localization and real-timeble mapping method based on the fusion of 3D LiDAR point clouds and visual-inertial data, which addresses the issue of decreased localization accuracy and mapping in complex environments that affect the autonomous navigation of robot dogs. …”

Chun Fai Martin Cheng: How can we decrease metabolism in the New Zealand green-lipped mussels, Perna canaliculus, for better transport? by Cheng Martin (11717816)

The experimental set-up we used. by Hillary Jean-Joseph (9676166)

Overview of the WeARTolerance program. by Ana Beato (20489933)

“…This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”

Application of WeChat-based cognitive behavioural stress management for early-stage cervical cancer patients: a randomised controlled study by Qing Hao (566198)

“…<p>This randomised controlled study was aimed at investigating the effects of WeChat-based cognitive behavioural stress management (WB-CBSM) on the mental health of patients with early-stage cervical cancer treated with surgical resection.…”

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

Displacement cloud map (geology). by Hui Cheng (195456)

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Mitigation (decreasing) scenario. by Fabio Correddu (12501799)

Screening Sheet: A sheet that contains the full screening process that we used to include or exclude any study. by Mohamed R. Abdelraouf (21501468)

Relationship between monthly NDVI and climatic variables values (Tmax, maximum air temperature; P, precipitation; VPD, vapor pressure deficit), in areas with decreasing trends (<i>... by Oswaldo Maillard (20660661)