University of Los Andes

About: University of Los Andes is a education organization based out in Bogotá, Colombia. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 17616 authors who have published 25555 publications receiving 413463 citations.

Taxonomy based on science is necessary for global conservation

Abstract: Taxonomy is a scientific discipline that has provided the universal naming and classification system of biodiversity for centuries and continues effectively to accommodate new knowledge. A recent publication by Garnett and Christidis [1] expressed concerns regarding the difficulty that taxonomic changes represent for conservation efforts and proposed the establishment of a system to govern taxonomic changes. Their proposal to “restrict the freedom of taxonomic action” through governing subcommittees that would “review taxonomic papers for compliance” and their assertion that “the scientific community’s failure to govern taxonomy threatens the effectiveness of global efforts to halt biodiversity loss, damages the credibility of science, and is expensive to society” are flawed in many respects. They also assert that the lack of governance of taxonomy damages conservation efforts, harms the credibility of science, and is costly to society. Despite its fairly recent release, Garnett and Christidis' proposition has already been rejected by a number of colleagues [2,3,4,5,6,7,8]. Herein, we contribute to the conversation between taxonomists and conservation biologists aiming to clarify some misunderstandings and issues in the proposition by Garnett and Christidis.

Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

Abstract: The algorithm developed by the CMS Collaboration to reconstruct and identify τ leptons produced in proton-proton collisions at √s=7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of π0 candidates, and improvements in multivariate discriminants to separate τ leptons from jets and electrons. The algorithm is extended to reconstruct τ leptons in highly Lorentz-boosted pair production, and in the high-level trigger. The performance of the algorithm is studied using proton-proton collisions recorded during 2016 at √s=13 TeV, corresponding to an integrated luminosity of 35.9 fb-1. The performance is evaluated in terms of the efficiency for a genuine τ lepton to pass the identification criteria and of the probabilities for jets, electrons, and muons to be misidentified as τ leptons. The results are found to be very close to those expected from Monte Carlo simulation.

Minimal supersymmetric grand unified theory: Symmetry breaking and the particle spectrum

Abstract: We discuss in detail the symmetry breaking and related issues in the minimal renormalizable supersymmetric grand unified theory. We find all the possible patterns of symmetry breaking, compute the associated particle spectrum and study its impact on the physical scales of the theory. In particular, the complete mass matrices of the $\mathrm{SU}(2)$ doublets and the color triplets are computed in connection with the doublet-triplet splitting and the $d=5$ proton decay. We explicitly construct the two light Higgs doublets as a function of the Higgs superpotential parameters. This provides a framework for the analysis of phenomenological implications of the theory, to be carried out in a second paper.

BDNF/NF-κB Signaling in the Neurobiology of Depression.

Abstract: Background: Mood disorders, consisting of unipolar and bipolar depression, are complex diseases characterized by depressed mood and anhedonia. These core symptoms are accompanied in a varying manner by anxiety, several neurovegetative symptoms and cognitive impairment. Mood disorders are characterized by decreases in neurogenesis, alteration in synaptic structure and synaptic transmission, all of them regulated by BDNF, a neurotrophin that performs multiple functions in the adult central nervous system. Many evidences show that BDNF is critically decreased in mood disorders and plays an essential role in most anti-depressant treatments. In turn, the transcription factor NF-kB has recently emerged as an important player in the pathophysiology of depression, with roles in neurogenesis, synaptic transmission and plasticity. Methodology: We review the bidirectional interactions between BDNF and NF-kB signaling pathways. Results and Conclusions: We discuss a potential beneficial effect of a positive feedback loop between BDNF and NF-kB activated pathways in antidepressant action. This could be transduced into the identification of downstream NF-kB gene targets able to potentiate antidepressant mechanisms, thus guiding the development of novel and faster acting antidepressant drugs.