The Surveyor shock absorber

Design and performance of hydraulic landing shock absorbers on Surveyor spacecraf

A treatise on the Surveyor lunar landing dynamics and an evaluation of pertinent telemetry data returned by Surveyor I

Dynamic behavior of Surveyor landing system and surface material during lunar landin

Structural Quantification of Entanglement

We introduce an approach which allows a detailed structural and quantitative analysis of multipartite entanglement. The sets of states with different structures are convex and nested. Hence, they can be distinguished from each other using appropriate measurable witnesses. We derive equations for the construction of optimal witnesses and discuss general properties arising from our approach. As an example, we formulate witnesses for a 4-cluster state and perform a full quantitative analysis of the entanglement structure in the presence of noise and losses. The strength of the method in multimode continuous variable systems is also demonstrated by considering a dephased GHZ-type state.Comment: 12 pages, 1 table and 3 figure

Concentration of Mestranol in Wastewater using High-Performance liquid chromatography

A prevalent estrogen found in oral contraceptives, such as birth control, is the estrogen mimic mestranol. Mestranol has been found to have a negative impact on the environment and is causing an increase in the feminization of fish. It has also been found to have adverse health effects on humans such as endocrine disruption. In this study, mestranol was analyzed using UV detection. Mestranol absorbs UV light efficiently at 274 nm. The high-performance liquid chromatography (HPLC) is an ideal method for non-volatile compounds. Reverse phase liquid chromatography and polar solvents were used in order to determine the specific concentration of mestranol in wastewater samples. The specific concentration of mestranol has still yet to be determined. Work is underway to find a reliable approach for quantification.https://openriver.winona.edu/urc2019/1106/thumbnail.jp

Identifying Sustainability and Knowledge Gaps in Socio-Economic Pathways Vis-à-Vis the Sustainable Development Goals

With the Sustainable Development Goals (SDGs), the global community has set itself an ambitious development agenda. Current analytical and quantitative modeling capabilities fall short of being able to capture all 17 SDGs and their targets. Even highly ambitious and optimistic pathways currently used in research, such as SSP1/SSP1-2.6, do not meet all SDGs (sustainability gaps) and fail to provide information on some of them (knowledge gaps). We show that for research and modeling purposes, the SDG targets can serve as a basis but need to be operationalized to reduce complexity and also to account for long-term sustainability concerns beyond 2030. We have explored here the requirements for assessing more comprehensively the sustainability of development pathways, guided by holistic interpretation of the SDGs to enable an assessment of the potential embedded synergies and trade-offs between the economic, social and environmental objectives. We see this as call for action for science to work on filling these gaps. At the same time, this is also a call for policy makers and the global community to close the sustainability gaps that emerge from such analysis. We anticipate that such analysis will provide useful information for policy advice and investment decisions during implementation of the UN 2030 Agenda