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. …”

Reducing Dscam1 diversity decreases adult lifespan in a cluster-specific manner, also see S6 and S7 Figs. by Haiyang Dong (4783608)

The Ishihara test for colourblindness [41] encompasses stimuli that can determine the degree and type of colourblindness a person has. by Marcel F. Hinss (14675457)

<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b> by Luisa Kumpitsch (20874095)

“…</p><p dir="ltr">Description of files:</p><p dir="ltr">fertility_data_cleaned.csv: data on <i>Dendraster excentricus</i> fertilization success means for non-competitive- and sperm competition treatment; used for linear mixed-effects models and basic statistics</p><p dir="ltr">fertility_data_cleaned.xlsx : see above </p><p dir="ltr">Fertility_FHL_means.csv: used for plotting and calculate basic statistics </p><p dir="ltr">Fertility_FHL_means.xlsx : see above </p><p dir="ltr">fertility_vigo_cleaned.csv: data on <i>Paracentrotus lividus</i> fertilization success means for non-competitive- and sperm competition treatment; used for linear mixed-effects models and basic statistics , and to filter for 1500 and 7500 sperm/µl which was used for further analysis </p><p dir="ltr">fertility_vigo_cleaned.xlsx: see above </p><p dir="ltr">Fertility_Vigo_means.csv: calculate statistics </p><p dir="ltr">Fertility_Vigo_means.xlsx: see above </p><p dir="ltr">FHL_FandF2.txt: look at differences between post 2h- and 24h fertilization success in <i>D. excentricus </i></p><p dir="ltr">motility_data_cleaned.csv : perm motility data on <i>D. excentricus</i>, used for linear-mixed effects models and basic statistics </p><p dir="ltr">motility_data_cleaned.xlsx: see above </p><p dir="ltr">Motility_Fertility_FHL_Means.csv: motility and fertilization data on <i>D. excentricus</i>, used to check if motility parameters affected fertilization success </p><p dir="ltr">Motility_Fertility_FHL_Means.xlsx: see above </p><p dir="ltr">Motility_Fertility_Vigo_Means.xlsx: : motility and fertilization data on <i>P. lividus</i>, used to check if motility parameters affected fertilization success </p><p dir="ltr">Motility_Fertility_Vigo_Means.csv: see above </p><p dir="ltr">Motility_Urchins.csv: used for plotting motility data in both sea urchin species </p><p dir="ltr">motility_vigo_cleaned.csv: sperm motility data on <i>P. lividus</i> </p><p dir="ltr">Size_Correlation_F.csv: test sizes and fertlilization success of both sea urchin species, to check if test size affects fertilzation success </p><p dir="ltr">Size_Correlation_M.csv: test sizes and fertlilization success of both sea urchin species, to check if test size affects sperm motility</p><p dir="ltr">Size_Correlation_M.xlsx: see above </p><p><br></p><p dir="ltr"><br></p><p><br></p>…”

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

Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Obstacle uniform linear motion scenarios. by Long Di (9977453)

Droplet-based microfluidics can be used to model clustered bacterial growth. by Justin Greene (306625)

T3SS induction slows growth, but cells can support high levels of S10 expression. by Justin Greene (306625)

Multiple linear regression analysis results. by Muxi Chen (9294270)

“…Cohesiveness varied without a clear linear trend, showing significant changes at specific IDDSI levels for meats, grains, and tubers (<i>p</i>≤0.05). …”

K-means++ clustering algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Mean margin gap. by Mizuki Kakizawa (22574740)

Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

Mean internal space gap. by Mizuki Kakizawa (22574740)

Maximum and mean SL values of the call types. by Anna N. Osiecka (11739336)

“…Interestingly, the information capacity of the signal did not decrease with its filtering and attenuation. While this study touches on signal properties purely and cannot provide evidence of the actual use by the animals, it shows that little auk signals can theoretically travel long distances with negligible information loss, and supports the hypothesis that vocalisations could facilitate long-distance communication in the species.…”

CS rates increased with protraction and decreased with retraction. by Paul Hage (21071783)

Low levels of platelet-specific transcripts in leukocytes can be due to platelet-leukocyte interactions. by Heather Learnard (22075952)

Decreased expression of <i>fliC</i> and <i>csrA</i> in STM <i>ΔpflB</i> can be altered upon incubating the bacterial cultures in acidic media (pH of 6). by Debapriya Mukherjee (9961289)

Descriptives of the study sample, N = 451. by Orrin D. Ware (14829115)

“…Most of the sample self-identified as female/woman (77.6%) and White (82.7%). A slight mean decrease was identified in scores for the Stigma of Suicide Scale Short Form: Overall and the Stigma of Suicide Scale Short Form: Stigma Subscale from pre-performance to post-performance. …”