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

“…Threshold parameter <i>c</i> = − 0 . 1 for the rectified cosine tuning with 4 neurons, and width <i>w</i> was 1 for von Mises tuning. …”

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…And if the value of λ assumes larger values, the distortion in the shape of the transmitted wave is associated with the plastic deformation in the uncoupled rock mass. …”

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

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)

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. …”

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

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

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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)

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

“…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. …”

Contribution of the through-mask leakages from the cavity and channel network distributed along the periphery of the mask; a–c and d–f are decreasing porosity <i>c</i><sub><i>k</i>... by Akshay Anand (118579)

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. …”

<i>In vivo</i> and long-term chaperone activity assessment of wild-type and p.R163C mutant αB-crystallin. by Aref Baharvand (21713886)

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<i>ΔG°</i> and C_1/2 values of various αB-crystallin samples derived from equilibrium urea unfolding analysis. by Aref Baharvand (21713886)

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

Lifespan of a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

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<i>Tillandsia utriculata</i> death rate data by size class. by Alexandra M. Campbell (3284094)

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Odds ratio (OR) for depression (HADS-D>=8) with 95% confidence interval (CI). Analyses are run using the weighted survey design on the sub-sample with non-missing for all included... by Maria Lage Barca (4515385)

Variables for the bromeliad agent representing a single <i>T. utriculata</i> rosette. by Alexandra M. Campbell (3284094)

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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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