Supply Chain Risk

Supply chains are becoming more and more extended, leaner, and complicated. Not only has the global economy contributed to the complication and risk of our supply chains, we also face significant potential challenges with technology, economic, environmental changes, and social issues. Practitioners have never experienced so many challenges at one time in their career and these challenges are coming in ways we never anticipated. In this presentation, we will address the nature of supply chain risk in today’s world, how to identify the greatest risks in your supply chain, and strategies for mitigating the risks. Examples of specific risk factors and how to address them will be presented, as well as real-world examples of how companies have both succeeded and failed in their efforts and the driving factors for each. The seminar will conclude with a brief overview of Blockchain and the promise Blockchain holds for helping reduce supply chain risk

Simulation-Enhanced Bayesian Optimization of System Designs using Hybrid Physical and Computer Experiments

We consider the problem of learning and optimizing the performance of a system by conducting a limited number of physical and digital experiments within a design space. Physical experiments are assumed to be unbiased but costly, while digital experiments (e.g., simulations) are less expensive but may introduce bias due to the limitations of the simulation model. This problem is relevant in many fields, such as optimizing engineered systems where performance (e.g., mechanical properties and reliability) depends on various design variables and external/internal factors. Without digital experiments, optimizing the system’s performance amounts to evaluating a noisy and expensive-to-assess black-box function, a task commonly handled using Bayesian Optimization (BO). Our research extends BO by incorporating digital experiments between subsequent physical experiments, aiming to (i) improve simulation model calibration and (ii) identify solutions that are likely to generate desirable physical experiment results. We introduce “Simulation-Enhanced Bayesian Optimization” (SEBO), a methodology that integrates these steps, and evaluate it using various one- and two-dimensional benchmark functions. A bias function is used to model the simulation model’s bias across the design space and its parameters. We compare SEBO to traditional BO, with preliminary results demonstrating SEBO’s advantages in optimizing experimental efforts; SEBO outperforms traditional BO for well-behaved functions, requiring fewer physical and digital experiments to achieve a desired objective function value. By effectively combining physical and digital experiments, SEBO offers significant potential for improving the design and optimization of engineered systems, reducing costs, speeding up design processes, and overall providing more efficient solutions in engineering and manufacturing.https://scholarworks.uark.edu/hnrcsturpc25/1016/thumbnail.jp

Smart Installation Weather Warning Decision Support

Army installation commanders need timely weather information to make installation closure decisions before or during adverse weather events (e.g., hail, thunderstorms, snow, and floods). We worked with the military installation in Fort Carson, CO, and used their Weather Warning, Watch, and Advisory (WWA) criteria list to establish the foundation for our algorithm. We divided the Colorado Springs area into 2300 grids (2.5 square kilometers areas) and grouped the grids into ten microclimates, geographically and meteorologically unique regions, per pre-defined microclimate regions provided by the Fort Carson Air Force Staff Weather Officers (SWOs). Our algorithm classifies each weather event in the WWA list using the National Weather Service’s and National Digital Forecast Database’s data. Our algorithm assigns each event a criticality level: none, advisory, watch, or warning. The traffic network data highlight the importance of each road segment for travel to and from Fort Carson. The algorithm also uses traffic network data to assign weight to each grid, which enables the aggregation to the region and installation levels. We developed a weather dashboard in ArcGIS Pro to verify our algorithm and visualize the forecasted warnings for the grids and regions that are or may be affected by weather events

Substrate specificity of bacterial oligosaccharyltransferase suggests a common transfer mechanism for the bacterial and eukaryotic systems

The PgIB oligosaccharyltransferase (OTase) of Campylobacter jejuni can be functionally expressed in Escherichia coli, and its relaxed oligosaccharide substrate specificity allows the transfer of different glycans from the lipid carrier undecaprenyl pyrophosphate to an acceptor protein. To investigate the substrate specificity of PgIB, we tested the transfer of a set of lipid-linked polysaccharides in E. coli and Salmonella enterica serovar Typhimurium. A hexose linked to the C-6 of the monosaccharide at the reducing end did not inhibit the transfer of the O antigen to the acceptor protein. However, PgIB required an acetamido group at the C-2. A model for the mechanism of PgIB involving this functional group was proposed. Previous experiments have shown that eukaryotic OTases have the same requirement, suggesting that eukaryotic and prokaryotic OTases catalyze the transfer of oligosaccharides by a conserved mechanism. Moreover, we demonstrated the functional transfer of the C. jejuni glycosylation system into S. enterica. The elucidation of the mechanism of action and the substrate specificity of PgIB represents the foundation for engineering glycoproteins that will have an impact on biotechnology

The ASTRO-H X-ray Observatory

The joint JAXA/NASA ASTRO-H mission is the sixth in a series of highly successful X-ray missions initiated by the Institute of Space and Astronautical Science (ISAS). ASTRO-H will investigate the physics of the high-energy universe via a suite of four instruments, covering a very wide energy range, from 0.3 keV to 600 keV. These instruments include a high-resolution, high-throughput spectrometer sensitive over 0.3-2 keV with high spectral resolution of Delta E < 7 eV, enabled by a micro-calorimeter array located in the focal plane of thin-foil X-ray optics; hard X-ray imaging spectrometers covering 5-80 keV, located in the focal plane of multilayer-coated, focusing hard X-ray mirrors; a wide-field imaging spectrometer sensitive over 0.4-12 keV, with an X-ray CCD camera in the focal plane of a soft X-ray telescope; and a non-focusing Compton-camera type soft gamma-ray detector, sensitive in the 40-600 keV band. The simultaneous broad bandpass, coupled with high spectral resolution, will enable the pursuit of a wide variety of important science themes.Comment: 22 pages, 17 figures, Proceedings of the SPIE Astronomical Instrumentation "Space Telescopes and Instrumentation 2012: Ultraviolet to Gamma Ray

Search for new phenomena in final states with an energetic jet and large missing transverse momentum in pp collisions at √ s = 8 TeV with the ATLAS detector

Results of a search for new phenomena in final states with an energetic jet and large missing transverse momentum are reported. The search uses 20.3 fb−1 of √ s = 8 TeV data collected in 2012 with the ATLAS detector at the LHC. Events are required to have at least one jet with pT > 120 GeV and no leptons. Nine signal regions are considered with increasing missing transverse momentum requirements between Emiss T > 150 GeV and Emiss T > 700 GeV. Good agreement is observed between the number of events in data and Standard Model expectations. The results are translated into exclusion limits on models with either large extra spatial dimensions, pair production of weakly interacting dark matter candidates, or production of very light gravitinos in a gauge-mediated supersymmetric model. In addition, limits on the production of an invisibly decaying Higgs-like boson leading to similar topologies in the final state are presente

Über eine Klasse polynomialer Scharen selbstadjungierter Operatoren im Hilbertraum

HEK293A cells expressing either mouse MOG (mMOG) or rat MOG (rMOG) C terminally tagged with EGFP. (DOCX 2792 kb

Measurement of the W±Z boson pair-production cross section in pp collisions at √s=13TeV with the ATLAS detector

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