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413 results for “caffeine”
newbi4fmri2020 Variant3 Caffeine
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Statistical analysis and dataset for: Acute exposure to caffeine improves foraging in an invasive ant
<p>Linked to the journal article published in iScience (https://doi.org/10.1016/j.isci.2024.109935).</p> <p><em><strong>Abstract</strong></em></p> <p>Argentine ants, <em>Linepithema humile</em>, are a particularly concerning invasive species. Control efforts often fall short likely due to a lack of sustained bait consumption. Using neuroactives, such as caffeine, to improve ant learning and navigation could increase recruitment and consumption of toxic baits. Here, we exposed <em>L. humile</em> to a range of caffeine concentrations and a complex ecologically relevant task: an open landscape foraging experiment. Without caffeine, we found no effect of consecutive foraging visits on the time the ants take to reach a reward, suggesting a failure to learn the reward’s location. However, under low to intermediate caffeine concentrations ants were 38% faster with each consecutive visit, implying that caffeine boosts learning. Interestingly, such improvements were lost at high doses. In contrast, caffeine had no impact on the ants’ homing behavior. Adding moderate levels of caffeine to baits could improve ant’s ability to learn its location, improving bait efficacy.</p> <p> </p> <ul> <li><strong>sample_videos.zip</strong>: A subset of the videos used for data extraction. The complete collection of videos is not publicly accessible primarily due to their considerable size (105.35GB). Requests for access to the entire video set are encouraged.</li> <li><strong>Preregistration.pdf</strong>: The preregistration created for data collection and analysis with justifications for deviations from it.</li> <li><strong>OpLan_D1_metadata.csv</strong>: Manually collected metadata pertaining to experimental conditions, subjects, and treatments.</li> <li><strong>OpLan_D2_DLC_coordinates.zip</strong>: Cartesian coordinates obtained from DeepLabCut for each of the videos analysed.</li> <li><strong>OpLan_C1_reproject_coordinates.py</strong>: Python code used to standardise the ants' coordinates by ensuring the same corner of the A4 platform was used as the origin of the cartesian referential of all videos. The known dimensions of the A4 were further used to convert coordinates from pixels to millimetres.</li> <li><strong>OpLan_C2_remove_impossibilities.py</strong>: Python code used to account for DeepLabCut tracking errors, with any ant movement exceeding two millimetres per frame being considered implausible and subsequently removed.</li> <li><strong>OpLan_C3_find_changepoints.py</strong>: Python code used to automatically derive the times at which an ant reached and left the reward from the tracking data.</li> <li><strong>OpLan_C4_inward_outward_data.py</strong>: Python code used to calculate relevant measures for the foodward (inward) and nestward (outward) journey such as journey duration, mean instantaneous speed and path tortuosity.</li> <li><strong>OpLan_C5_Figure_2.R</strong>: R code used to produce the raw elements of Figure 2.</li> <li><strong>OpLan_C6_Figure_4.R</strong>: R code used to produce the raw elements of Figure 4.</li> <li><strong>OpLan_C7_Statistical_Analysis.html</strong>: Complete statistical analysis and code for the manuscript.</li> </ul>
Neural correlates of expectations-induced effects of caffeine intake on executive functions
<p><strong>ABSTRACT</strong></p> <p>Placebo effects (PE) are defined as the beneficial psychophysiological outcomes of an intervention that are not attributable to its inherent properties; PE thus follow from individuals’ expectations about the effects of the intervention. The present study aims aimed at examining how expectations influence neurocognitive processes.</p> <p>We will addressed this question by contrasting three double-blinded within-subjects experimental conditions in which participants are were given decaffeinated coffee, while being told they have had received caffeinated (condition i) or decaffeinated coffee (ii), and given caffeinated coffee while being told they have had received decaffeinated coffee (iii).</p> <p>After each of these three interventions, performance and electroencephalogram will bewas recorded at rest as well as during sustained attention Rapid Visual Information Processing task (RVIP) and a Go/NoGo motor inhibitory control task.</p> <p> We first aimed to confirm previous findings for caffeine-induced enhancement on these executive components and on their associated electrophysiological indexes (attentional P3 component, response conflict N2 and inhibition P3 components (ii vs iii contrast); and then to test the hypotheses that expectations also induce these effects (i vs ii), although with a weaker amplitude (i vs iii).</p> <p>Related to the behavioral findings, wWe didn’t not confirm any of our hypotheses for behavioral improvement induced by caffeine intakeon either of the investigate tasks’ measures. Regarding the neurophysiological findingsAt the electrophysiological level, however, we confirmed that caffeine effects on increased the attentional P3 and inhibition P3 components amplitude, but not on the response conflict N2 component. Additionally, wWe dodid not confirm provide evidence that expectations do not influence any of the investigate electrophysiological indexeices. Finally, we confirm that that expectations effects are smaller compared to caffeine effects but only for the Global Field Power parameter related to the attentional P3 component.</p> <p>only for one of the investigated the attentional P3 component’s parameters, and that this effect was smaller than that of</p> <p>We conclude that Hence, previously identified caffeine effects at the behavioral level may have been overestimated and that if while expectations effects have any no influence on sustained attention and inhibitory control, they are small. XXCaffeine effects at the electrophysiological level indicate that it tends to modulate brain areas underlying attentional mechanisms in both RVIP and Go/NoGo tasks rather than being specific to inhibitory control processes.</p>
CAFFEINE Dataset
<p>The CAFFEINE dataset contains non-intrusive sensor data (time series) and labels (coffee type for each time series, and actuator activation status at each time step) for 130 coffees. Eight sensors are placed along the power chain of the coffee making process (1 current sensor, 1 voltage sensor, 3 accelerometers, 2 temperature sensors, 1 coffee level sensor), producing signals originated by 5 sources (heating coil, infuser translation motor, grinder, vibration pump, (electronics)), sampled at 6250 Hz.</p> <p>The dataset comes with reading scripts and instructions for Python and MATLAB users.</p> <p>Intended uses for this dataset include <strong>blind source separation</strong> (multi-label clustering and signal decomposition), <strong>classification</strong>, as well as <strong>regression</strong> (multivariate time series forecasting), <strong>parameter identification</strong> and <strong>model synthesis</strong>.</p>
Figure 3 in Effects of Ni (II) p-hydroxybenzoate with caffeine on metabolic, antioxidant, and biochemical parameters of model insect Galleria mellonella L. (Lepidoptera: Pyralidae)
Figure 3. Effects of Ni (II) p-hydroxybenzoate with caffeine on ion levels of Galleria mellonella. Bars represent the means (± SD) of four replicates. Means followed by the same letter are not significantly different (p> 0.05).
Figure 1 in Effects of Ni (II) p-hydroxybenzoate with caffeine on metabolic, antioxidant, and biochemical parameters of model insect Galleria mellonella L. (Lepidoptera: Pyralidae)
Figure 1. Effects of Ni (II) p-hydroxybenzoate with caffeine on metabolic enzyme activity of Galleria mellonella. Bars represent the means (±SD) of four replicates. Means followed by the same letter are not significantly different (p> 0.05).
Caffeine for Hypoxic-Ischemic Encephalopathy
ClinicalTrials.gov study NCT03913221. IPD Sharing: YES. Countries: 1. Publications: 3.
Caffeine citrate status, availability and practice across Nigeria, Ethiopia, Kenya, South Africa and five States in India
<p>Apnea of prematurity (AOP) is a common complication among preterm infants (<37 weeks gestation), globally. However, access to caffeine citrate (CC) that is a proven safe and effective treatment in high income countries is largely unavailable in low-and-middle income countries, where most preterm infants are born. Therefore, the overall aim of this study was to describe the demand, policies, and supply factors affecting the availability and clinical use of CC in LMICs.</p> <p>A mixed methods approach was used to collect data from diverse settings in LMICs including Ethiopia, Kenya, Nigeria, South Africa, and India. Qualitative semi-structured interviews and focus group discussions were conducted with different health care providers, policymakers, and stakeholders from industry. Additional data was collected using standard questionnaires. A thematic framework approach was used to analyze the qualitative data and descriptive statistics were used to summarize the quantitative data. The findings indicate that there is variation in in-country policies on the use of CC in the prevention and treatment of AOP and its availability across the LMICs. As a result, the knowledge and experience of using CC also varied with clinicians on Ethiopia having no experience of using it while those in India have greater knowledge and experience of using it. The in turn influenced the demand and our findings show that only 29% of eligible preterm infants are receiving CC in these countries.</p> <p>There is an urgent need to address the multilevel barriers to accessing CC for management of AOP in Africa. These include cost, lack of national policies and therefore lack of demand stemming from its clinical equivalency with aminophylline. Practical ways to reduce the cost of CC in LMICs could potentially increase its availability and use.</p>
Figure 1 in Quality of cosmetics with active caffeine in cream and gel galenic bases prepared by compounding pharmacies
Figure 1. pH analysis for cosmetics in cream and gel base.
Figure 1 in Challenges of nanotechnology in cosmetic permeation with caffeine
Figure 1. Human skin. Fonte: Vanputte et al. (2016).
Figure 2 in Quality of cosmetics with active caffeine in cream and gel galenic bases prepared by compounding pharmacies
Figure 2. Color analysis for cosmetics in cream and gel base.
Figure 5 in Quality of cosmetics with active caffeine in cream and gel galenic bases prepared by compounding pharmacies
Figure 5. Wavelength analysis for cosmetics in cream and gel base.
No evidence that the widespread environmental contaminant caffeine alters energy balance or stress responses in fish
<p>Anthropogenic sources of environmental pollution are ever-increasing as urban areas expand and more chemical compounds are used in daily life. The stimulant caffeine is one of the most consumed chemical compounds worldwide, and as a result, has been detected as an environmental contaminant in all types of major water sources on all continents. Exposure of wildlife to environmental pollutants can disrupt the energy balance of these organisms, as restoration of homeostasis is prioritised. In turn, energy allocated to other key biological processes such as growth or reproduction may be affected, consequently reducing the overall fitness of an individual. Therefore, we aimed to investigate if long-term exposure to environmentally relevant concentrations of caffeine had any energetic consequences on wildlife. Specifically, we exposed wild eastern mosquitofish (<em>Gambusia holbrooki</em>) to one of three nominal concentrations of caffeine (0, 100, and 10,000 ng/L) and assayed individuals for metabolic rate, general activity, antipredator and foraging behaviour, and body size as measures of energy expenditure or energy intake. We found no differences in any measured traits between any of the given exposure treatments, indicating that exposure to caffeine at current environmental levels may not adversely affect the energy balance and fitness of vulnerable freshwater fish.</p>
Plant secondary metabolite increases the control-effectiveness of natural enemy - based on caffeine and Snellenius manilae
<p class="MsoNormal"><span>The food resources in the field can effectively strengthen the ability of natural enemies to control the pest. Certain compounds, in addition to carbohydrates and amino acids, may improve the physiological performance of insects. Caffeine, for instance, has been shown to enhance pollinator memory and physiological reactions. However, little is known about how caffeine influences parasitoids. The control effectiveness and survival rate of the parasitoid (</span><em>Snellenius manilae</em><span>) were tested in this study after the parasitoids were fed solutions with different concentrations of caffeine. We examined caffeine concentrations of 10</span><sup>-2</sup><span>, 10</span><sup>-4</sup><span>, and 10</span><sup>-6</sup><span> (M) mixed with a 25% sucrose solution and a pure sucrose solution as a control group. The results show that a concentration of 10</span><sup>-6</sup><span> caffeine solution significantly increased the parasitism rate of</span><em> S. manilae </em><span>by 10.76% when compared to the control group. Despite the significantly lower survival rate and male bias of </span><em>S. manilae </em><span>offspring in the 10</span><sup>-2</sup><span> treatment, no further negative responses in growth performance, development time, or cocoon weight were observed. These findings suggest that an appropriate concentration of caffeine solution can have a positive impact on the control effectiveness of parasitoids in the laborat</span>ory. Our results highlight the potential of secondary compounds to increase the bio-control effectiveness.</p>
Acute and Residual Effects of Caffeinated Beer
ClinicalTrials.gov study NCT00515294. IPD Sharing: NO. Countries: 1. Publications: 1.
Effects of Caffeine on Intermittent Hypoxia in Infants Born Preterm
ClinicalTrials.gov study NCT01875159. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Acute Headache Treatment in Pregnancy: Occipital Nerve Block vs PO Acetaminophen With Caffeine
ClinicalTrials.gov study NCT03951649. IPD Sharing: NO. Countries: 1. Publications: 25.
Caffeine's Effect on Regadenoson Administration With Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging (MPI)
ClinicalTrials.gov study NCT00826280. IPD Sharing: YES. Countries: 1. Publications: 1.
Dose Optimization of Caffeine for HIE
ClinicalTrials.gov study NCT06448780. IPD Sharing: YES. Countries: 1. Publications: 3.
The Caffeine, Postoperative Delirium, and Change in Outcomes After Surgery (CAPACHINOS-2) Study
ClinicalTrials.gov study NCT05574400. IPD Sharing: YES. Countries: 1. Publications: 3.
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