Efecto del complemento alimenticio: Omolene y Heno de alfalfa sobre el pesoy el índice eritrocitario de caballos de remonta de la policía Montada de Lambayeque, Enero – Febrero 2020

El objetivo del presente estudio fue Determinar el efecto del complemento alimenticio: Omolene y heno de alfalfa, sobre el peso y el índice eritrocitario de caballos de remonta de la policía Montada de Lambayeque; estudio de enfoque aplicativo y cuantitativo, siendo la población86 caballos traídos del Centro de Remonta de Cajamarca ubicado en Huacraruco Cajamarca y la muestra poblacional de 55 caballos, los cuales tuvieron una alimentación en base a pastos naturalesde la zona. Antes de iniciar la fase experimental los animales fueron pesados y talla dos, además deextraerles sangre para determinar los índices eritrocitarios los cuales reportan anemia, posterior a esto se les inicio el suministro con heno de alfalfa y Omolene, para posteriormente volver a pesar y tallar además de evaluar los índices eritrocitarios a los 30 y 60 días post tratamiento. Se concluyeque con el suministro de Heno de alfalfa y Omolene se mejora el peso significativamente (p<0.05)tanto a los 30 días como a los 60 días pos tratamiento, así mismos en las variables hematológicas como son hematocrito, hemoglobina y hematíes(p<0.05), así mismos a pesar que el VCM y CHCMson indicadores poco sensibles de regeneración periférica en caballos, también se encontraron diferencias significativas (p<0.05)

Estilo de vida y la obesidad en los adolescentes de la Institución Educativa 8186 Comas, 2022

El presente estudio tiene como objetivo general determinar la relación entre el estilo de vida y sus dimensiones frente a la obesidad en los adolescentes de la Institución Educativa 8186 Comas, 2022. Fue un estudio básico cuantitativo, descriptivo correlacional, no experimental de corte transversal, en 90 adolescente que comprenden las edades entre 12 y 17 años, se utilizó la técnica de encuesta de manera presencial y dos cuestionarios. Como resultados se halló la correlación de las variables mediante el estadístico Rho de Spearman. En cuanto a los estilos de vida se observa 73.3% tienen un estilo de vida saludable mientras que el 26.7% no saludable. Respecto a la dimensión alimentación el 64.4% llevaba una alimentación saludable, 65.6% realizaban actividades físicas saludables, un 37.8% tenía estados emocionales saludables, un 48.9% llevaba buenas relaciones sociales, 25.6% presentaba toxicomanías, y un 63.3% presenta una buena salud. Referente a la segunda dimensión obesidad se obtuvo que el 70% presentan baja obesidad, 17.8% tiene obesidad regular y el 12.2% presentaron alta obesidad. Se concluye que existe relación muy alta y negativa con un coeficiente de correlación de -0.863 y una significancia 0.000 entre el estilo de vida y la obesidad en los adolescentes de la Institución educativa 8186

A Multi-modal Visual Emotion Recognition Method to Instantiate an Ontology

Human emotion recognition from visual expressions is an important research area in computer vision and machine learning owing to its significant scientific and commercial potential. Since visual expressions can be captured from different modalities (e.g., face expressions, body posture, hands pose), multi-modal methods are becoming popular for analyzing human reactions. In contexts in which human emotion detection is performed to associate emotions to certain events or objects to support decision making or for further analysis, it is useful to keep this information in semantic repositories, which offers a wide range of possibilities for implementing smart applications. We propose a multi-modal method for human emotion recognition and an ontology-based approach to store the classification results in EMONTO, an extensible ontology to model emotions. The multi-modal method analyzes facial expressions, body gestures, and features from the body and the environment to determine an emotional state; this processes each modality with a specialized deep learning model and applying a fusion method. Our fusion method, called EmbraceNet+, consists of a branched architecture that integrates the EmbraceNet fusion method with other ones. We experimentally evaluate our multi-modal method on an adaptation of the EMOTIC dataset. Results show that our method outperforms the single-modal methods

Chemical chaperone TUDCA prevents apoptosis and improves survival during polymicrobial sepsis in mice

Sepsis-induced lymphopenia is a major cause of morbidities in intensive care units and in populations with chronic conditions such as renal failure, diabetes, HIV and alcohol abuse. Currently, other than supportive care and antibiotics, there are no treatments for this condition. We developed an in vitro assay to understand the role of the ER-stress-mediated apoptosis process in lymphocyte death during polymicrobial sepsis, which was reproducible in in vivo mouse models. Modulating ER stress using chemical chaperones significantly reduced the induction of the pro-apoptotic protein Bim both in vitro and in mice. Furthermore, in a ‘two-hit’ pneumonia model in mice, we have been able to demonstrate that administration of the chemical chaperone TUDCA helped to maintain lymphocyte homeostasis by significantly reducing lymphocyte apoptosis and this correlated with four-fold improvement in survival. Our results demonstrate a novel therapeutic opportunity for treating sepsis-induced lymphopenia in humans

Multimodal Emotional Understanding in Robotics

In the context of Human-Robot Interaction (HRI), emotional understanding is becoming more popular because it turns robots more humanized and user-friendly. Giving a robot the ability to recognize emotions has several difficulties due to the limits of the robots’ hardware and the real-world environments in which it works. In this sense, an out-of-robot approach and a multimodal approach can be the solution. This paper presents the implementation of a previous proposed multi-modal emotional system in the context of social robotics; that works on a server and bases its prediction in four modalities as inputs (face, posture, body, and context features) captured through the robot’s sensors; the predicted emotion triggers some robot behavior changes. Working on a server allows overcoming the robot’s hardware limitations but gaining some delay in the communication. Working with several modalities allows facing complex real-world scenarios strongly and adaptively. This research is focused on analyzing, explaining, and arguing the usability and viability of an out-of-robot and multimodal approach for emotional robots. Functionality tests were applied with the expected results, demonstrating that the entire proposed system takes around two seconds; delay justified on the deep learning models used, which are improvable. Regarding the HRI evaluations, a brief discussion about the remaining assessments is presented, explaining how difficult it can be a well-done evaluation of this work. The demonstration of the system functionality can be seen at https://youtu.be/MYYfazSa2N0

SNPs located at CpG sites modulate genome-epigenome interaction

DNA methylation is an important molecular-level phenotype that links genotypes and complex disease traits. Previous studies have found local correlation between genetic variants and DNA methylation levels (cis-meQTLs). However, general mechanisms underlying cis-meQTLs are unclear. We conducted a cis-meQTL analysis of the Genetics of Lipid Lowering Drugs and Diet Network data (n = 593). We found that over 80% of genetic variants at CpG sites (meSNPs) are meQTL loci (P-value < 10(−9)), and meSNPs account for over two thirds of the strongest meQTL signals (P-value < 10(−200)). Beyond direct effects on the methylation of the meSNP site, the CpG-disrupting allele of meSNPs were associated with lowered methylation of CpG sites located within 45 bp. The effect of meSNPs extends to as far as 10 kb and can contribute to the observed meQTL signals in the surrounding region, likely through correlated methylation patterns and linkage disequilibrium. Therefore, meSNPs are behind a large portion of observed meQTL signals and play a crucial role in the biological process linking genetic variation to epigenetic changes

Lipid changes due to fenofibrate treatment are not associated with changes in DNA methylation patterns in the GOLDN study

Fenofibrate lowers triglycerides (TG) and raises high density lipoprotein cholesterol (HDLc) in dyslipidemic individuals. Several studies have shown genetic variability in lipid responses to fenofibrate treatment. It is, however, not known whether epigenetic patterns are also correlated with the changes in lipids due to fenofibrate treatment. The present study was therefore undertaken to examine the changes in DNA methylation among the participants of Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study. A total of 443 individuals were studied for epigenome-wide changes in DNA methylation, assessed using the Illumina Infinium HumanMethylation450 array, before and after a 3-week daily treatment with 160 mg of fenofibrate. The association between the change in DNA methylation and changes in TG, HDLc, and low-density lipoprotein cholesterol (LDLc) were assessed using linear mixed models adjusted for age, sex, baseline lipids, and study center as fixed effects and family as a random effect. Changes in DNA methylation were not significantly associated with changes in TG, HDLc, or LDLc after 3 weeks of fenofibrate for any CpG. CpG changes in genes known to be involved in fenofibrate response, e.g., PPAR-α, APOA1, LPL, APOA5, APOC3, CETP, and APOB, also did not show evidence of association. In conclusion, changes in lipids in response to 3-week treatment with fenofibrate were not associated with changes in DNA methylation. Studies of longer duration may be required to detect treatment-induced changes in methylation

Giant conductivity switching of LaAlO3/SrTiO3 heterointerfaces governed by surface protonation

Complex-oxide interfaces host a diversity of phenomena not present in traditional semiconductor heterostructures. Despite intense interest, many basic questions remain about the mechanisms that give rise to interfacial conductivity and the role of surface chemistry in dictating these properties. Here we demonstrate a fully reversible >4 order of magnitude conductance change at LaAlO3/SrTiO3 (LAO/STO) interfaces, regulated by LAO surface protonation. Nominally conductive interfaces are rendered insulating by solvent immersion, which deprotonates the hydroxylated LAO surface; interface conductivity is restored by exposure to light, which induces reprotonation via photocatalytic oxidation of adsorbed water. The proposed mechanisms are supported by a coordinated series of electrical measurements, optical/solvent exposures, and X-ray photoelectron spectroscopy. This intimate connection between LAO surface chemistry and LAO/STO interface physics bears far-reaching implications for reconfigurable oxide nanoelectronics and raises the possibility of novel applications in which electronic properties of these materials can be locally tuned using synthetic chemistry

Epigenome-wide association study of triglyceride postprandial responses to a high-fat dietary challenge

Postprandial lipemia (PPL), the increased plasma TG concentration after consuming a high-fat meal, is an independent risk factor for CVD. Individual responses to a meal high in fat vary greatly, depending on genetic and lifestyle factors. However, only a few loci have been associated with TG-PPL response. Heritable epigenomic changes may be significant contributors to the unexplained inter-individual PPL variability. We conducted an epigenome-wide association study on 979 subjects with DNA methylation measured from CD4(+) T cells, who were challenged with a high-fat meal as a part of the Genetics of Lipid Lowering Drugs and Diet Network study. Eight methylation sites encompassing five genes, LPP, CPT1A, APOA5, SREBF1, and ABCG1, were significantly associated with PPL response at an epigenome-wide level (P < 1.1 × 10(−7)), but no methylation site reached epigenome-wide significance after adjusting for baseline TG levels. Higher methylation at LPP, APOA5, SREBF1, and ABCG1, and lower methylation at CPT1A methylation were correlated with an increased TG-PPL response. These PPL-associated methylation sites, also correlated with fasting TG, account for a substantially greater amount of phenotypic variance (14.9%) in PPL and fasting TG (16.3%) when compared with the genetic contribution of loci identified by our previous genome-wide association study (4.5%). In summary, the epigenome is a large contributor to the variation in PPL, and this has the potential to be used to modulate PPL and reduce CVD