INTEGRATING DIGITAL TWIN CONCEPTS TO ENHANCE AGILITY OF THE UNITED STATES MARINE CORPS’ DECISION SUPPORT FRAMEWORK

Digital twin (DT) application and related technology has the potential to enhance the accuracy of wargame simulations in order to provide risk-informed decision support recommendations. A DT of the operating environment could theoretically be developed to continuously gather data from the operating forces and create computational models or simulations to test battlespace conditions. Effective implementation of DT can provide commanders with timely updates and adjustments to recommendations, aiding the decision-making process. Real-time updates would then inform commanders if the previously recommended course of action is no longer considered optimal based on the continuously running simulations. This thesis performs a qualitative assessment on the integration of a DT-enabled decision support system into the Marine Corps planning process and as an effective tool for leadership at various levels of command. The researchers determined that the wargaming process can be enhanced by incorporating real-time data into simulated future conflict to facilitate the inclusion of data analysis into time-sensitive decisions and potentially improve the management of uncertainty in the decision-making process. Leaders would benefit from increased awareness and quantitative assistance with resource allocation decisions. Expected challenges will be the digitization process of the operating force as well as acculturating leaders to the new technology.Approved for public release. Distribution is unlimited.Major, United States Marine CorpsCaptain, United States Marine Corp

Seeing What Others Miss: A Study of Women Entrepreneurs in High-Growth Startups

A pressing question in entrepreneurial research is where opportunities come from. Prior research indicates that some opportunities stem from known parameters and outcomes; some are discovered through engagement with unknown but knowable factors; and others are unknowable until brought into being through a creative process. This paper explores the second and more prevailing view in entrepreneurial research – that individuals discover business opportunity – and examines how high-growth entrepreneurs perceive opportunity through engagement with the world. Survey results, based on responses from 165 women entrepreneurs in high-growth startups, indicate that individuals with a strong discover mindset act and think in ways that support opportunity perception. Coupled with a belief in her abilities, the entrepreneur is more likely to move from opportunity perception to new venture creation. Results from semi-structured interviews with women from the same population elucidate the survey findings and yield implications for entrepreneurial theory and practice

Distinguishing entrepreneurial approaches to opportunity perception

Purpose – Whether opportunities are discovered or created by entrepreneurs is a foundational question in entrepreneurship research. The purpose of this paper is to examine women entrepreneurs in high-growth new ventures and explore the cognitive resources that distinguish between three approaches to opportunity perception: opportunity discovery; opportunity creation; and a combined discover-create (ambidextrous) approach. Design/methodology/approach – Using questionnaire responses from 165 women entrepreneurs in highgrowth new ventures, K-means clustering was used to determine three approaches to opportunity perception. The cognitive resources associated with each approach were then identified using multiple discriminant analysis. Finally, multivariate analysis of variance was conducted to examine the relationship between opportunity perception and growth expectations. Findings – These results demonstrate different approaches to opportunity perception among entrepreneurs in high-growth new ventures, the cognitive resources that reinforce each approach, and the expected new venture growth outcomes. Research limitations/implications – The findings offer insight on the cognitive origins of opportunity perception by empirically identifying distinct approaches to opportunity perception and the cognitive resources that underlie each. The study relies on a unique sample of entrepreneurs to understand complex cognitive phenomenon. Practical implications – Understanding the effects that cognitive factors have on opportunity perception provides direction for current and aspiring entrepreneurs. The findings and instrument may be used for professional development and to inform educational strategies. Originality/value – The findings offer important contributions to entrepreneurial theory and practice by addressing repeated calls for research that examines the cognitive antecedents enabling opportunity formation (discovery, creation or both). This manuscript empirically does so, while opening up possibilities for future research

Systems biology coupled with label-free high-throughput detection as a novel approach for diagnosis of chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a treatable and preventable disease state, characterised by progressive airflow limitation that is not fully reversible. Although COPD is primarily a disease of the lungs there is now an appreciation that many of the manifestations of disease are outside the lung, leading to the notion that COPD is a systemic disease. Currently, diagnosis of COPD relies on largely descriptive measures to enable classification, such as symptoms and lung function. Here the limitations of existing diagnostic strategies of COPD are discussed and systems biology approaches to diagnosis that build upon current molecular knowledge of the disease are described. These approaches rely on new 'label-free' sensing technologies, such as high-throughput surface plasmon resonance (SPR), that we also describe

Reducing distance errors for standard candles and standard sirens with weak-lensing shear and flexion maps

Gravitational lensing induces significant errors in the measured distances to high-redshift standard candles and standard sirens such as type-Ia supernovae, gamma-ray bursts, and merging supermassive black hole binaries. There will therefore be a significant benefit from correcting for the lensing error by using independent and accurate estimates of the lensing magnification. We investigate how accurately the magnification can be inferred from convergence maps reconstructed from galaxy shear and flexion data. We employ ray-tracing through the Millennium Simulation to simulate lensing observations in large fields, and perform a weak-lensing reconstruction on these fields. We identify optimal ways to filter the reconstructed convergence maps and to convert them to magnification maps. We find that a shear survey with 100 galaxies/arcmin^2 can help to reduce the lensing-induced distance errors for standard candles/sirens at redshifts z=1.5 (z=5) on average by 20% (10%), whereas a futuristic survey with shear and flexion estimates from 500 galaxies/arcmin^2 yields much larger reductions of 50% (35%). For redshifts z>=3, a further improvement by 5% can be achieved, if the individual redshifts of the galaxies are used in the reconstruction. Moreover, the reconstruction allows one to identify regions for which the convergence is low, and in which an error reduction by up to 75% can be achieved.Comment: 16 pages, 18 figures, submitted to MNRAS, minor changes, references extended, comments welcom

Persistent starspot signals on M dwarfs: multi-wavelength Doppler observations with the Habitable-zone Planet Finder and Keck/HIRES

Young, rapidly-rotating M dwarfs exhibit prominent starspots, which create quasiperiodic signals in their photometric and Doppler spectroscopic measurements. The periodic Doppler signals can mimic radial velocity (RV) changes expected from orbiting exoplanets. Exoplanets can be distinguished from activity-induced false positives by the chromaticity and long-term incoherence of starspot signals, but these qualities are poorly constrained for fully-convective M stars. Coherent photometric starspot signals on M dwarfs may persist for hundreds of rotations, and the wavelength dependence of starspot RV signals may not be consistent between stars due to differences in their magnetic fields and active regions. We obtained precise multi-wavelength RVs of four rapidly-rotating M dwarfs (AD Leo, G 227-22, GJ 1245B, GJ 3959) using the near-infrared (NIR) Habitable-zone Planet Finder, and the optical Keck/HIRES spectrometer. Our RVs are complemented by photometry from Kepler, TESS, and the Las Cumbres Observatory (LCO) network of telescopes. We found that all four stars exhibit large spot-induced Doppler signals at their rotation periods, and investigated the longevity and optical-to-NIR chromaticity for these signals. The phase curves remain coherent much longer than is typical for Sunlike stars. Their chromaticity varies, and one star (GJ 3959) exhibits optical and NIR RV modulation consistent in both phase and amplitude. In general, though, we find that the NIR amplitudes are lower than their optical counterparts. We conclude that starspot modulation for rapidly-rotating M stars frequently remains coherent for hundreds of stellar rotations, and gives rise to Doppler signals that, due to this coherence, may be mistaken for exoplanets.Comment: Accepted for publication in the Astrophysical Journa