Wright State University

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    Development and Validation of a Self-Report Adaptability Measure for the Military Remote Operations Community

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    Building on emerging literature, a new self-report inventory was developed to assess multiple psychological attributes relevant to adaptability in remote warriors. Literature search backed by surveys of military and psychological experts identified 32 attributes for self-report scale development. Items were sorted reliably into targeted dimensions (67.5% vs. 1.6% random) in support of content validity. Item analysis of responses from 255 U.S. Air Force remote operations Airmen (74.5% sensor operators) narrowed the set to 25 empirically distinct scales demonstrating overall strong internal consistency reliability (Mdn alpha = .83), unidimensionality per scale, convergent and discriminant validity in relations with the NEO Personality Inventory-3 (e.g. Stress Tolerance r = -.50 with NEO Neuroticism and r = .00 with NEO Openness), and criterion validity in relations with burnout (e.g., Coping Flexibility r = -.43 with Exhaustion) and psychological distress (e.g., Hardiness r = -.62). Results support the continued development of the measure for advancing understanding of the psychology of remote warfare and engagement in similarly demanding occupations

    Climate Change Adaptation Through Economic Democracy

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    Mohan investigates and combines three different areas of literature and social movements to discuss the problem of climate change and economic adaptation. The value of this work is that it can be used to communicate among three independent types of social movements and inquiries. This can strengthen and connect dispersed yet overlapping efforts in addressing work issues, resource utilization, economic governance and participation, and ecological problems economies face today

    Nitrogen Application Enhances the Radiation Use Efficiency and Quality of Cotton (Gossipum Hirsutum L.) Under Divergent Agro-Ecological Conditions of Pakistan

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    Cotton being a cash crop plays a pivotal role in the economy of Pakistan. Climate change has a pronounced impact on radiation use efficiency and quality of cotton fiber. To find out how nitrogen affected the radiation use efficiency and fiber quality of cotton cultivars in Punjab, a field study using a split-plot design was carried out. The study under representation was conducted in three different locations over the course of two years (2016 and 2017): Adaptive Research Farm in Dera Ghazi Khan, The Regional Agriculture Research Institute, Bahawalpur and The College of Agriculture, University of Sargodha. Three cotton cultivars viz., FH-Lalazar, FH-142, and MNH-786 were treated to six different nitrogen levels (0, 60, 120, 180, 240, and 300 kg ha-1) at each of the experimental location. The data collected from the experiments were used as input to run the CROPGRO-model. Input data from 2016 and 2017 were used to calibrate the CROPGRO-cotton model, and its evaluation involved comparing the simulated and observed values. This model accurately predicted radiation use efficiency, cotton fiber quality, and nitrogen impact on three cotton cultivars. For cotton productivity, the arid climate of Bahawalpur is far superior to the semi-arid climates of Sargodha and Dera Ghazi Khan, Pakistan

    The Wright Brothers and their Genetic Susceptibility to Typhoid Fever

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    Importance: Typhoid fever gravely sickened Orville Wright in 1896 and the disease killed his older brother, Wilbur, in 1912. The occurrence of typhoid fever among other Wright family members has never been explored. Objective: To investigate the number of cases of typhoid fever in the Wright brothers’ family and determine if they had a predisposition to typhoid fever that might have had a genetic basis. Methods: Biographical information concerning the Wright brothers was examined and a family tree was constructed. Using an estimated untreated case fatality rate of 20%, typhoid fever mortality data from decennial U.S. censuses (1850-1920) was converted to disease incidence rates from which individual and joint probabilities were determined. The medical literature was searched for genes associated with typhoid fever susceptibility. Results: Nine Wright family members from three consecutive generations spanning 70 years were reported to have had typhoid fever. The joint probability that these nine separate cases could have occurred independently by chance alone was 8.57 x 10-25 . Multiple genes have been found in the medical literature which cause an increase in susceptibility to typhoid fever. Conclusions and Relevance: The Wright brothers and their other family members who developed typhoid fever were highly likely to have had a genetic predisposition to this infection

    A Quality Improvement Project To Improve Provider Awareness of Breastfeeding Resources

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    Breastfeeding is widely acknowledged for its significant benefits for mother and child. Despite the many advantages for breastfeeding, disparities in breastfeeding rates persist, particularly among non-Hispanic Black women in Montgomery County, OH. Rates for babies born in 2020 were low for those who were ‘ever’ breastfed (NH-Black 68.8% vs white 76.6% for ‘ever’ breastfed at hospital discharge) and even lower for those who were exclusively breastfed (NH-Black 38.2% vs. NH-white 57.9% exclusively breastfed at hospital discharge).1 Ohio\u27s breastfeeding initiation rate remains among the lowest in the nation ranking 41st out of 50 states and falling short of the Healthy People 2020 goal of 81.9% (ever) and 85.8% (exclusive) in the first two days of life.2 This quality improvement project aimed to improve staff support for breastfeeding by increasing provider awareness of breastfeeding resources at a Resident clinic

    A Computational Approach to the Marxian Circuit of Capital Model

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    The paper reconstructs the Marxian circuit of capital model to identify distinctive growth dynamics of the financial, productive, and commercial capital stock, which are primarily induced by the change in both the three capital flows and the time-lags tied to each capital flow. The simulation shows that there exist nonlinear interactions among the three capital stocks associated with the change in both three capital flows and the time lags required for the circuit of capital. The paper also attempts to account for the effect of financialization and the realization crisis on the growth dynamics of the economic system. The simulation result indicates the presence of divergent ‘growth regimes.’ in which delays in either mobilizing financial capital outlay or delays in realization of surplus value alters the composition of the total capital stock as well as the nature of growth of the domestic productive capital stock

    Postcard from Unknown to [Milton Wright], from England (H.M. King Edward VII)

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    An undated Fab Patchwork postcard from England featuring a portrait of King Edward VII. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1076/thumbnail.jp

    Postcard from Unknown to [Milton Wright], from Paris, France (Tombeau de Napoléon 1st)

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    An undated postcard from Paris, France featuring the Tomb of Napoléon 1st. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1091/thumbnail.jp

    Putting Risk Assessment in the Pilots’ Hands: Refining a Cognitive Health Assessment Tool for Aviators

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    Cognitive factors like poor situational awareness or memory failures can causeserious incidents, especially in single-crew operations. This work introducesCANFLY, an on-demand, self-administered online cognitive assessment for pilots,using realistic flight scenarios and interactive tasks. CANFLY targets key cognitivedomains for safe flight: situation awareness, prospective memory, and taskmanagement. Accessible from any internet-connected computer with speakers,CANFLY currently takes 50 minutes, but reducing this by 50 percent couldenhance user experience and adoption. Preliminary machine learning results from47 licensed pilots show that responses to short “flight” scenarios testing levels 1and 2 situational awareness and prospective memory can classify risk with over 80percent accuracy. Challenges and opportunities in using self-reported data (e.g.,incidents and mishaps) for risk classification are explored. This work aims to helppilots, screeners, and medical examiners make informed decisions about flightreadiness throughout a pilot’s career

    Flight Safety Data Storytelling: Continuous Learning From What Went Right

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    The anticipated increase in air traffic, airspace complexity, and safety datavolume inspired the development of an In-time Aviation Safety ManagementSystem (IASMS). Evolving from the legacy Safety Management System (SMS),IASMS will use machine learning (ML) to improve current risk management andsafety assurance methodologies, predict future threats, and reduce analysis andresponse times. We propose applying the IASMS concept to directly supportskilled performance in real-time with an interactive safety visualization tool forpilots. This tool would analyze disparate data sets to reveal latent operationalthreats and provide examples of skilled performance adaptations. Pilots wouldaccess tailored ML-enabled predictive data narratives through a user-centeredinterface. Challenges with using ML in this context, data integration, and interfacedesign are discussed

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