The Positive Impact of Social and Emotional Learning

This action research was inspired by the researcher’s own district and classroom. The district has core values and competencies under their mission and vision that include excellence in SEL instruction district wide. The district focuses on teaching the SEL competences and SEL standards to help students graduate and show success in life. Based on classroom observations, the researcher hypothesized that children taught socio-economic skills would display more positive behaviors and greater motivation to complete classroom tasks. The participants in this six-week study included 20 kindergarten students, ages four through six. During the week prior to the intervention, data was tracked over blurting, physical aggression, following directions, and work completion. The next four weeks consisted of instruction around SEL skills using the Second Step curriculum and resources created by teachers in the district. The intervention was intentional on covering the four areas: blurting, physical aggression, following directions, and work completion. To finish the study, data was tracked for one-week post intervention. The study found that adding an SEL intervention into a kindergarten classroom improves the performance of academics and behavior inside the classroom

Actionable Information - Research Briefs - 3 - Analysis on U.S. States COVID-19 Dashboards

Includes both static PDF version and the dynamic web version.Covid-19 dashboards developed by state authorities in the U.S. present different variables to communicate the status and evolution of the pandemic in their territories. This research brief summarizes the different platforms used to develop the dashboards. Also, the brief includes an analysis on the dashboard contents in terms of total number of variables, type of variables, number of variables per risk component (i.e. Threats, Vulnerable Systems, Impacts, States of Risk, Mitigating Strategies). Finally, the number of variables per risk component are compared to COVID-19 metrics such as daily cases, and daily deaths (per 100K population) in order to identify how the risk communication in the dashboards impact the management of the pandemic

Actionable Information - Research Briefs - 2 - U.S. and Mexico COVID-19 Dashboards

Includes both static PDF version and the dynamic web version.States in the U.S. have produced COVID-19 dashboards to communicate the status of the pandemic to the population. This research brief presents a summary of the available dashboards for the U.S. and Mexico states. Additionally a map of the U.S. is presented with the total number of variables that are reported in the state dashboard(s)

Actionable Information - Research Briefs - 5 - Summary and Assessment of Weather Information Services

Includes both static PDF version and the dynamic web version.This research brief includes a summary of various weather information services, detailing the procedures followed to obtain and generate data, and a breakdown of the information provided. Based on this information, the services were qualitatively assessed to determine the most fitting one (s) in the production of risk analytics for supply chains impacted by natural Threat

Actionable Information - Research Briefs - 4 - Literature Review on the Impact of Natural Threats on Supply Chains

Includes both static PDF version and the dynamic web version.A literature review was conducted in order to identify the most impactful effects of natural hazards on the operation of supply chains. The review considered the body of research produced about this topic including the distribution of scientific documents produced by year, and the number of mentions of different natural threats in them

R7 - Internal Report on Risk Assessment & Management Model Development V0.0

Internal report on the development steps for a Risk Assessment and Management model using Bayesian Networks. The objectives of the model include: mapping qualitatively participating processes needed to simulate prognosis and diagnosis scenarios of social, economic and environmental impacts posed by COVID19 on the U.S. trade supply chain infrastructure. To address the public health impacts of the COVID-19 pandemic on the U.S.- Mexico health supply chain systems for health infrastructure and for the health of the workforce, considering current and emerging regional social, economic and environmental Risks. To generate risk-mitigating strategies based on resiliency and sustainability supported by evidence collection and the associate risk assessment model, to address causes and effects posed by COVID19 on the U.S. trade supply chain infrastructure, U.S.- Mexico health supply chain systems for health infrastructure, and for health of the workforce between U.S. - Mexico

Model Development for Bayesian Risk Assessment and Management of Supply Chains Impacted by COVID-19 and Other Converging Threats

COVID-19 has generated disruptions on supply chains across the world with impacts reflected in shortage, or delay of supplies, accompanied by strong shifts of demand for several economic sectors. Under such a disruption, the challenge is to address the social, environmental, and economic impacts on U.S. Supply Chain infrastructure, and identify critical nodes and processes in order to protect and restore the supply chains for an uninterrupted flow of supplies and materials critical to Homeland Security

Discussions on stakeholder requirements for space weather related models

Participants of the 2017 European Space Weather Week in Ostend, Belgium, discussed the stakeholder requirements for space weather related models. It was emphasized that stakeholders show an increased interest in space weather related models. Participants of the meeting discussed particular prediction indicators that can provide first order estimates of the impact of space weather on engineering systems

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Search for dark matter produced in association with bottom or top quarks in √s = 13 TeV pp collisions with the ATLAS detector

A search for weakly interacting massive particle dark matter produced in association with bottom or top quarks is presented. Final states containing third-generation quarks and miss- ing transverse momentum are considered. The analysis uses 36.1 fb−1 of proton–proton collision data recorded by the ATLAS experiment at √s = 13 TeV in 2015 and 2016. No significant excess of events above the estimated backgrounds is observed. The results are in- terpreted in the framework of simplified models of spin-0 dark-matter mediators. For colour- neutral spin-0 mediators produced in association with top quarks and decaying into a pair of dark-matter particles, mediator masses below 50 GeV are excluded assuming a dark-matter candidate mass of 1 GeV and unitary couplings. For scalar and pseudoscalar mediators produced in association with bottom quarks, the search sets limits on the production cross- section of 300 times the predicted rate for mediators with masses between 10 and 50 GeV and assuming a dark-matter mass of 1 GeV and unitary coupling. Constraints on colour- charged scalar simplified models are also presented. Assuming a dark-matter particle mass of 35 GeV, mediator particles with mass below 1.1 TeV are excluded for couplings yielding a dark-matter relic density consistent with measurements