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)

Effect sizes (if > 0.5) for the comparison of increasing load vs. decreasing for the iliocostalis muscle. by Christoph Anders (4068499)

Effect sizes (if > 0.5) for the comparison of increasing load vs. decreasing load for the multifidus muscle. by Christoph Anders (4068499)

Effect sizes (if > 0.5) for the comparison of increasing load vs. decreasing load for the longissimus muscle. by Christoph Anders (4068499)

Effect sizes (if > 0.5) for the comparison of increasing load vs. decreasing load for the rectus abdominis muscle. by Christoph Anders (4068499)

Effect sizes (if > 0.5) for the comparison of increasing load vs. decreasing load for the internal oblique muscle. by Christoph Anders (4068499)

Effect sizes (if > 0.5) for the comparison of increasing load vs. decreasing load for the external oblique muscle. by Christoph Anders (4068499)

Mode shapes of the first six modes. by Xueting Ma (390540)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…</p><p><br></p><p dir="ltr">The data are related to the scientific paper “Sibaja Leyton M. et al., (under review) Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas”.</p><p dir="ltr">Data are available as a csv file titled:</p><p dir="ltr">"Sibaja_Leyton_et_al_Dataset_Stingless_Bee_Colony_Losses_in_Latin_America.csv".…”

Overview of the six original ACTIV-3/TICO trials. by Elizabeth S. Munroe (21568166)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

Inhibition of NEAT1 decreased the miR-204-5p expression and increased Six1 expression. by Lei Li (29537)

“…<p>(A) NEAT1 expression following siRNA transfection in BEAS-2B cells; (B-D) The expression of NEAT1, miR-204-5p, and Six1 after decreasing NEAT1 expression. * p <0.05, *** p < 0.001, and **** p <0.0001.…”

Changes in the positions of cells and the trajectories of cells of different sizes at the microscopic level. by Lihong Gu (513505)

ONSD at T14 and six months after ICU discharge. by Marco Carbonara (11483575)

Subjects:

A path model of six-factor self-compassion. by Eriko Takahashi (22608061)

Box plot show that there are no differences between different groups of the size of pus cavity. by Na Wang (193263)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…However, this model can be time-consuming and can only represent a single vessel track. To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. …”

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Proportion of clusters recovered between different mixtures of pol and wgs sequences and all wgs based on overlap coefficient, full dataset. by August Guang (9975678)