Temporal variations in the size of the study population. by Andrew M. Robbins (13983513)

Spatial and Temporal Trends of Persistent Organic Pollutants across Europe after 15 Years of MONET Passive Air Sampling by Kevin B. White (9557337)

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Multi-scale network structure. by Jiuxiao Cao (21594403)

“…The model transforms temporal signals into two-dimensional representations, applies parallel convolutional branches with different receptive fields, and captures temporal dependencies through a bidirectional GRU. …”

Table_1_The spatial and temporal distribution of China’s forest carbon.DOCX by Fushan Cheng (14648102)

“…</p>Methods<p>In order to research China’s forest carbon storage and carbon sequestration potential capacities at spatial and temporal scales, we built a digital forest model for each province of China using the data from The China Forest Resources Report (2014– 2018) and calculated the carbon storage capacity and sequestration potential capacity of each province with the current management practices without considering natural successions.…”

PD-1 deficiency does not significantly impact the pathogen load and pathology following <i>S</i>. <i>japonicum</i> infection. by Liaoxun Lu (179293)

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The temporal variation of the entomological indicator Ovitrap Positivity Index (OPI) in paired comparisons with the control side, showed in blue. by Welington Tristão (21616118)

Temporal change trends of ET anomalies over China and its seven climate sub-regions during 1982–2012. by Dayang Wang (1435906)

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Interrelations between STP-Q, E-learning readiness scale, and NMP-Q. by Serdar Yılmaz Esen (19819260)

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Degree distribution in a logarithmic scale for all cattle and cows in the global networks. by Amaias Avalos (14279316)

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Temporal averages of daily standardised anomaly maps during compound events of MLD (left column) and CHL (right column). by Marianthi Pateraki (20833592)

Percentage of US adults with health insurance coverage by income-level, age 60 to 70 years. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with healthcare access by income level¹. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with prescription medications by income level¹. by Rahul Aggarwal (4428457)

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Baseline characteristics of the US population ages 64 and 66 years by income level¹. by Rahul Aggarwal (4428457)

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Measures of access and affordability by income level, age 57 to 73 years. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment with financial strain due to medical bills by income level¹. by Rahul Aggarwal (4428457)

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Association of Medicare eligibility and enrollment at age 65 years on healthcare access, prescription medications, and financial strain by education level¹. by Rahul Aggarwal (4428457)

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<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)

“…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>. …”

Temporal pattern decorrelation at the level of single dentate granule cells. by Antoine D. Madar (6619286)

Scatter plot of the relative percent BOLD signal change in peak significantly activated regions, and the percent change in total CAPS score. by Keren Doenyas-Barak (3595634)

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