A5069720858- Complex Network Analysis Techniques
- Misinformation and Its Impacts
- Nerve injury and regeneration
- Advanced Text Analysis Techniques
- Neurogenesis and neuroplasticity mechanisms
- Prenatal Substance Exposure Effects
- Public Relations and Crisis Communication
- Computational and Text Analysis Methods
- Opinion Dynamics and Social Influence
- Web Data Mining and Analysis
- Topic Modeling
- Human Mobility and Location-Based Analysis
- Diatoms and Algae Research
- History and advancements in chemistry
- Takotsubo Cardiomyopathy and Associated Phenomena
- Scientific Research and Discoveries
- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Pain Mechanisms and Treatments
- Fatty Acid Research and Health
- Cardiac Ischemia and Reperfusion
- Social Media and Politics
- Software Engineering Research
- Acute Myocardial Infarction Research
- Tryptophan and brain disorders
Finis Terrae University
2016-2024
Universidad del Desarrollo
2020-2023
Clínica Alemana
2020-2023
University of Chile
2013-2019
The mechanistic evidence to support the cardioprotective effects of polyunsaturated fatty acids (PUFA) are controversial. aim was test mechanisms induced by PUFA supplementation against cardiac ischemia-reperfusion (IR) injury. Ten-week-old male Wistar rats (225 ± 14 g, n = 14) were divided in two groups: without ( 7) and a group, supplemented (0.6 g/kg/day; DHA:EPA 3:1) for eight weeks 7). Hearts perfused with Krebs–Henseleit buffer 20 min (control conditions); others subjected control...
On-line social networks publish information on a high volume of real-world events almost instantly, becoming primary source for breaking news. Some these can end up having very strong impact on-line networks. The effect such be analyzed from several perspectives, one them being the intensity and characteristics collective activity that it produces in platform. We research 5,234 news encompassing 43 million messages discussed Twitter microblogging service approximately 1 year. show...
Nowadays, social media services are being used extensively as news sources and for spreading information on real-world events. Several studies have focused detecting those events locating them geographically. However, in order to study events, example, finding relationships between locations or high impact based their coverage, we need more suitable models represent In this work propose a simple model using two of information: the that mentioned event (where occurs), users discuss comment...
An animal model of voluntary oral morphine consumption would allow for a pre-clinical evaluation new treatments aimed at reducing opioid intake in humans. However, the main limitation rodents is its bitter taste, which strongly aversive. Taste aversion often overcome by use adulterants, such as sweeteners, to conceal taste or bitterants alternative bottle equalize aversion. adulterants' presence cause choice and, upon removal, preference not preserved. Thus, current models are suitable study...
The immense growth of the social Web, which has made a large amount user data easily and publicly available, opened whole new spectrum for research in behavioral sciences. However, as volume media content increases at very fast rate, it becomes extremely difficult to systematically obtain high-level information from this data. As consequence, tasks related analysis historical news events based on have not been explored, limits any type comparative research, causality analysis, discovery...
In this paper we present the dataset of 200,000+ political arguments produced in local phase 2016 Chilean constitutional process. We describe human processing data by government officials, and manual tagging performed members our research group. Afterwards focus on classification tasks that mimic processes, comparing linear methods with neural network architectures. The experiments show some are suitable for automatization. particular, best achieve a 90% top-5 accuracy multi-class arguments,...
Abstract Background Morphine is an opiate commonly used in the treatment of moderate to severe pain. However, prolonged administration can lead physical dependence and strong withdrawal symptoms upon cessation morphine use. These include anxiety, irritability, increased heart rate, muscle cramps, which strongly promote use relapse. The morphine‐induced increases neuroinflammation, brain oxidative stress, alteration glutamate levels hippocampus nucleus accumbens have been associated with a...
Abstract The present study investigates the possible therapeutic effects of human mesenchymal stem cell-derived secretome on morphine dependence and relapse. This was studied in a new model chronic voluntary intake Wistar rats which shows classic signs intoxication severe naloxone-induced withdrawal syndrome. A single intranasal-systemic administration MSCs fully inhibited (>95%; p < 0.001) reduced post-deprivation relapse by 50% (p 0.02). Since several studies suggest significant...
Online Social Networks (OSN) have changed the way information is produced and consumed. Organizing retrieving unstructured data extracted from these platforms not an easy task. Galean a visual interactive tool that aims to help journalists historians, among others, analyze news events discussed on Twitter. In this tool, are visually represented by very countries where originated, date when they happened their impact in OSN. considers as entities, opposed mere geographical locations most of...
The sheer amount of newsworthy information published by users in social media platforms makes it necessary to have efficient and effective methods filter organize content. In this scenario, off-the-shelf fail process large amounts data, which is usually approached adding more computational resources. Simple data aggregations can help cope with space time constraints, while at the same improve effectiveness certain applications, such as topic detection or summarization. We propose a...
On-line social networks publish information about an enormous volume of real-world events almost instantly, becoming a primary source for breaking news. Many the reported in media can be high-impact to society, such as important political decisions, natural disasters and terrorist actions, but might go unnoticed their early stages due overload other information. We ask, is it possible clearly quickly identify which these news are going have substantial impact before they actually become...