Systems Thinking in Science Education and Outreach toward a Sustainable Future

Systems thinking, interdisciplinary research projects, and creative problem solving are ways to frame modern chemistry curricula to inspire the next generation of scientists, engineers, teachers, and citizens to use their skills and education to create a sustainable future. By integrating planetary boundaries, green chemistry, and the UN sustainable development goals, we use a systems thinking approach in undergraduate education and outreach to a range of diverse populations to drive discussion, exploration of scientific principles, and teach students how they can use chemistry to solve the distinctive challenges of the anthropocene. Interdisciplinary research projects employ critical thinking, problem solving, and creativity as part of the scientific method. Translating undergraduate research in nanotechnology, renewable energy, and sustainability into lesson plans and engaging in outreach to diverse populations promotes equity in science education and encourages underrepresented groups to seek careers in a scientific field. Community college students act as role models in outreach as they teach chemistry using a systems thinking approach, connect sustainability to STEM careers that can make a positive impact on local communities, and show underrepresented groups that they are needed in these disciplines. Engaging, interdisciplinary laboratories used in outreach, such as the synthesis of algae biodiesel, making paints from natural resources, sustainable agriculture and engineering, and DNA origami, access all aspects of systems thinking. Using systems thinking as a framework in science education and outreach teaches students the significance and relevance of chemistry while creating a platform for women and underrepresented groups to learn how important their representation is to contribute to a sustainable, equitable future

It’s RAINing : Remotely Accessible Instruments in Nanotechnology to Promote Student Success

Remotely Accessible Instruments in Nanotechnology (RAIN) is a community of educators that aims to bring advanced technologies into K-12 and college classrooms via remote access. RAIN\u27s mission is to facilitate the study of nanoscale science by lowering barriers for instructors to deliver relevant educational activities for younger students interested in learning about nanotechnology across traditional STEM fields. Additionally, RAIN engages the next generation STEM workforce with a connection to experts, tools and institutions where cutting-edge research is being performed. This resource is particularly vital for underrepresented and minority students, especially those attending institutions that cannot provide on-site access to advanced technologies. Currently the RAIN network consists of ten sites across the United States and offers its services free of charge to make STEM education more accessible to the students that would otherwise not encounter these resources. Data shows that RAIN is effective at fostering a passion for the sciences when used in K-12 thru college curricula

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 heavy resonances decaying to two Higgs bosons in final states containing four b quarks

A search is presented for narrow heavy resonances X decaying into pairs of Higgs bosons (H) in proton-proton collisions collected by the CMS experiment at the LHC at root s = 8 TeV. The data correspond to an integrated luminosity of 19.7 fb(-1). The search considers HH resonances with masses between 1 and 3 TeV, having final states of two b quark pairs. Each Higgs boson is produced with large momentum, and the hadronization products of the pair of b quarks can usually be reconstructed as single large jets. The background from multijet and t (t) over bar events is significantly reduced by applying requirements related to the flavor of the jet, its mass, and its substructure. The signal would be identified as a peak on top of the dijet invariant mass spectrum of the remaining background events. No evidence is observed for such a signal. Upper limits obtained at 95 confidence level for the product of the production cross section and branching fraction sigma(gg -> X) B(X -> HH -> b (b) over barb (b) over bar) range from 10 to 1.5 fb for the mass of X from 1.15 to 2.0 TeV, significantly extending previous searches. For a warped extra dimension theory with amass scale Lambda(R) = 1 TeV, the data exclude radion scalar masses between 1.15 and 1.55 TeV

Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

Peer reviewe

Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

Peer reviewe

Search for anomalous couplings in boosted WW/WZ -> l nu q(q)over-bar production in proton-proton collisions at root s=8TeV

Peer reviewe

Drug-induced anaphylaxis, elicitors, risk factors, and management in Latin America

Nonsteroidal anti-inflammatory drugs were the most frequent triggers of drug-induced anaphylaxis in Latín America, whereas antibiotics elicited faster onset and more scvere reactions. An improvement was observed in epinephrinc use and adherence to guidelines in the emergency department treatment of anaphylaxis in Latín America compared with our last report.Facultad de Ciencias Médica