The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

“…(C) Mutualism also promotes an increase in network connectance when introduced into assembled communities, while stopping mutualistic interactions from entering an assembled system slowly decreases it. (D) As a result, the introduction of mutualistic interactions promotes a growth in complexity in communities where it was once established as low, while stopping the introduction of further mutualistic interactions causes a slight decrease in complexity. …”

The ROC curves and AUC values of the diagnostic model. by Zhe Wu (582498)

Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease. by Joshua Looker (21390948)

“…<p>Effective contact rate over time for the different modelling scenarios considered: fixed, continuously increasing, continuously decreasing and with a step-decrease.</p>…”

Disturbance of coherent behaviour leads to a decrease in information transfer. by Hannah Zoller (19688084)

ROC curve and AUC value of all models. by Tiago de Oliveira Barreto (20485207)

“…As for Specificity (82.94%) and ROC-AUC (82.13%), the Multilayer Perceptron with SGD optimizer obtained the highest scores. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…To improve model accuracy further, we introduce the SE attention mechanism that adaptively adjusts the weights of feature channels to enhance the discriminative ability of insulator defect features. …”

Flow diagram illustrating the sequence of procedures executed during one time step defined as tick, each of which represents one week. by Alexandra M. Campbell (3284094)

LBM-based approach using synchronous transformation with a time step of 0.43s, PNGM-based method using asynchronous transformation with a 5s time step, VGA using explicit scheme wi... by Mouad Klai (20818364)

AUC statistics as calculated from simulated time series. Each statistical metric was calculated within sliding windows, throughout the pre-critical interval. We considered five-, fifteen-, and thirty-day sliding windows. Given that the temperature of the system increased to 12°C on day sixty, we also considered three pre-critical intervals: Days 1 to 60, Days 20 to 60, and Days 30 to 60. To evaluate trends in these metrics, we calculated Kendall’s rank correlation coefficient during the pre-critical interval, and compared control (constant temperature, non-epidemic) and warming (warming treatment, epidemic emergence) coefficients across simulations and experimental populations by calculating the area under the curve (AUC) statistic. Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre by Madeline Jarvis-Cross (22394247)

“…Values less than 0.5 suggest that a decrease in the statistical metric indicates emergence, while values greater than 0.5 suggest that an increase in the statistical metric indicates emergence, with more extreme values indicating stronger tre</p>…”

Data of the article "The physiological cost of being hot: High thermal stress and disturbance decrease energy reserves in dragonflies in the wild" by Eduardo Ulises Castillo-Pérez (20869904)

“…These changes can strongly affect insects, particularly those experiencing high thermal stress (i.e, large differences between body and environmental temperature), as prolonged exposure to elevated temperatures can reduce their energetic reserves due to increased metabolic demands and physiological stress. We evaluated thermal stress in 16 insect dragonfly species during two sampling periods (2019 and 2022) in preserved and disturbed sites within a tropical dry forest in western Mexico. …”

Data Sheet 1_Bio-functional hydrogel coated membranes to decrease T-cell exhaustion in manufacturing of CAR T-cells.docx by Aida López Ruiz (21611177)

“…To address this need, in this work, we utilized a bioinspired, scalable, tunable platform to direct T-cell activation and decrease exhaustion during CAR T production.…”

Includes a file with the results on step parameters. by Sanne Ettema (18786312)

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. …”

Data Preprocessing Steps for IDC Dataset. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…The trials used a dataset of 162 individuals with IDC, split into training (113 photos) and testing (49 images) groups. …”

Area under the curve (AUC) for external validation performance. by Junichi Kushioka (12236447)

Comparison of diffusion simulations: implicit scheme of the GDE with a 30-second time step (blue line), implicit scheme of the PNGM with α = 0.6 and a 15-second time step (green li... by Mouad Klai (20818364)

Data Extraction Sheet: A sheet that contains the data that we extracted from the included studies. by Mohamed R. Abdelraouf (21501468)

Table_2_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in inf... by Sara Gonia (14132166)

“…In this observational study, we explore if early life exposure to probiotics via the mother during pregnancy and lactation, is associated with decreased inflammation in breastmilk, maternal and infant microbiome variation, and altered infant neurodevelopmental features.…”

Table_1_Maternal oral probiotic use is associated with decreased breastmilk inflammatory markers, infant fecal microbiome variation, and altered recognition memory responses in inf... by Sara Gonia (14132166)

“…In this observational study, we explore if early life exposure to probiotics via the mother during pregnancy and lactation, is associated with decreased inflammation in breastmilk, maternal and infant microbiome variation, and altered infant neurodevelopmental features.…”

Application of WeChat-based cognitive behavioural stress management for early-stage cervical cancer patients: a randomised controlled study by Qing Hao (566198)

“…<p>This randomised controlled study was aimed at investigating the effects of WeChat-based cognitive behavioural stress management (WB-CBSM) on the mental health of patients with early-stage cervical cancer treated with surgical resection.…”