Improving 5th Grade Students\u27 Stress Management Skills

Some children may not have yet learned how to manage stress and regulate their emotions. Stress during childhood may affect children’s physical and mental health. It may impact their learning, and may cause them to develop certain problems in their behavior. When children develop stress coping strategies, they will be better prepared to deal with future stressors. In order to address this issue, I created a two-day lesson on stress management techniques for a 5th grade class at Sherwood Elementary School in Salinas, California

Changes to Landscape and its Effects on Environmental Sustainability

Since about the 1960´s the changes in landscapes have been more intense and have affected biodiversity due to society becoming increasingly urbanized. At the same time natural ecosystems have deteriorated (Metzger et al., 2006, Laurance et al. 2014). Reducing environmental change is one of the most important sustainability pillars of our world because all societies and businesses depend on the natural system for well-being. The complexity of this problem, arises as a result of diverse cultural, political and social factors. In this poster, I focus on how agriculture has transformed landscapes and decrease global sustainability

Discovering the Ethereum2 P2P network

Achieving the equilibrium between scalability, sustainability, and security while keeping decentralization has prevailed as the target solution for decentralized blockchain applications over the last years. Several approaches have been proposed by multiple blockchain teams to achieve it, Ethereum being among them. Ethereum is on the path of a major protocol improvement called Ethereum 2.0 (Eth2), implementing Sharding and introducing the Proof-of-Stake (PoS). As the change of consensus mechanism is a delicate matter, this improvement will be achieved through different phases, the first of which is the implementation of the Beacon Chain. As Ethereum1, Eth2 relies on a decentralized peer-to-peer (p2p) network for the message distribution. Up to date, we estimate that there are around 5.000 nodes in the Eth2 main net geographically distributed. However, the topology of this one still prevails unknown. In this paper, we present the results obtained from the analysis we performed on the Eth2 p2p network. Describing the topology of the network, as possible hazards that this one implies.This work has been supported by the Ethereum Foundation under Grant FY20-0198.Peer ReviewedPostprint (author's final draft

Armiarma: Ethereum2 Network Monitoring Tool

Achieving the equilibrium between scalability, sustainability and security has prevailed as the ideal solution for decentralized blockchain applications over the last years. Several approaches have been proposed being Ethereum a solid proposal among them. Ethereum is on the path of a major protocol improvement called Ethereum 2.0 (Eth2), implementing Sharding and introducing the Proof-of-Stake (PoS). As the change of consensus mechanism is a delicate matter, this improvement will be achieved through different phases, the first of which is the implementation of the Beacon Chain. The implementation of the latest has been stated with the recent launch of the Eth2 main net. In this work, we introduce an Eth2 network monitor tool, called Armiarma, used to generate a complete analysis of the p2p network of the Eth2 main net. In this paper, we present some of the results of what this Eth2 network monitor can achieve

Chiral Symmetry restoration from the hadronic regime

We discuss recent advances on QCD chiral symmetry restoration at finite temperature, within the theoretical framework of Effective Theories. $U(3)$ Ward Identities are derived between pseudoscalar susceptibilities and quark condensates, allowing to explain the behaviour of lattice meson screening masses. Unitarized interactions and the generated $f_0(500)$ thermal state are showed to play an essential role in the description of the transition through the scalar susceptibilityComment: 10 pages, 9 figures. Proceedings of "XII Quark Confinement and the Hadron Spectrum

Inference under constrained distribution shifts

Large-scale administrative or observational datasets are increasingly used to inform decision making. While this effort aims to ground policy in real-world evidence, challenges have arise as that selection bias and other forms of distribution shift often plague observational data. Previous attempts to provide robust inferences have given guarantees depending on a user-specified amount of possible distribution shift (e.g., the maximum KL divergence between the observed and target distributions). However, decision makers will often have additional knowledge about the target distribution which constrains the kind of shifts which are possible. To leverage such information, we proposed a framework that enables statistical inference in the presence of distribution shifts which obey user-specified constraints in the form of functions whose expectation is known under the target distribution. The output is high-probability bounds on the value an estimand takes on the target distribution. Hence, our method leverages domain knowledge in order to partially identify a wide class of estimands. We analyze the computational and statistical properties of methods to estimate these bounds, and show that our method can produce informative bounds on a variety of simulated and semisynthetic tasks