TITAN decreaser diatom heatmap. by Brent J. Bellinger (21156150)

TITAN decreaser macroinvertebrate heatmap Heatmap of sensitive (i.e., <i>z-</i>) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of numbe... by Brent J. Bellinger (21156150)

Explanation of condition nodes and decision nodes in the SCM, ordered by decreasing centrality. by Stella D. Juventia (19961247)

TITAN increaser macroinvertebrate heatmap Heatmap of tolerant (i.e., <i>z</i>+) macroinvertebrate taxa (y-axis) to at least one of the five stressors, in decreasing order of number... by Brent J. Bellinger (21156150)

Changes in blood pressure, HbA1c, blood lipid and liver function-related indicator values compared with baseline values in all patients over time. by Jia Song (495396)

Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using Eq 11, shown in decreasing order of influence.... by Harry Saxton (19165441)

“…<p>Input parameter ranking for discrete measurements: Each column displays parameters (P) and their influence values (E) calculated using <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0326112#pone.0326112.e114" target="_blank">Eq 11</a>, shown in decreasing order of influence. …”

Calculation of peak force and impulse values from force plate data. by Leena Inkilä (20614460)

Changes in blood pressure, HbA1c, blood lipids and liver function-related indicator values from 3 months to 6 months of treatment in all patients. by Jia Song (495396)

Box plots showing baseline prevalence and mean egg count at pre-MDA1 in districts that were responders compared to those that were persistent hotspots of decreasing praziquantel ef... by Takafira Mduluza (39754)

Demographic and clinical characteristics of study sample (<i>N</i> = 1810). by Olivia Ojala (14057026)

<i>Ctsz</i>^{<i>−/−</i>} mice have higher lung burden and earlier spleen dissemination during acute infection followed by greater chronic inflammation and mortality risk.... by Rachel K. Meade (22216529)

Study 1_CFA1. by Chen-Yueh Chen (9740047)

“…Findings from Analysis of Covariance (ANCOVA) in Study II indicate that in Experiment I, positive electronic word of mouth does not help improve value co-creation among spectators while negative electronic word of mouth does decrease value co-creation among spectators. …”

Data values for figures. by Fermin E. Guerra (6084545)

“…In <i>S.</i> Paratyphi A, L O-ag production is deficient due to a hypofunctional WzzB protein, but this is compensated by greater quantities of VL O-ag, which are required for serum resistance. …”

Table of values for <i>p.</i> by Long Di (9977453)

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. …”

Femur length anomalies tend to decrease with later phenology (greater day of year of adulthood anomaly) regardless of elevation or species’ seasonal timing. by César R. Nufio (11646271)

Study 1_EFA. by Chen-Yueh Chen (9740047)

“…Findings from Analysis of Covariance (ANCOVA) in Study II indicate that in Experiment I, positive electronic word of mouth does not help improve value co-creation among spectators while negative electronic word of mouth does decrease value co-creation among spectators. …”

Study 2_Experiment 1. by Chen-Yueh Chen (9740047)

“…Findings from Analysis of Covariance (ANCOVA) in Study II indicate that in Experiment I, positive electronic word of mouth does not help improve value co-creation among spectators while negative electronic word of mouth does decrease value co-creation among spectators. …”

Study 1_CFA2. by Chen-Yueh Chen (9740047)

“…Findings from Analysis of Covariance (ANCOVA) in Study II indicate that in Experiment I, positive electronic word of mouth does not help improve value co-creation among spectators while negative electronic word of mouth does decrease value co-creation among spectators. …”

S1 Data - by Du Siqi (20721422)

“…Compared to the traditional Warping transform, the method proposed in this study provides a wider application range and greater practical value in engineering.…”