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Fabrication of a Pineapple Peeling Machine and Performance Evaluation as Influenced by Pineapple Dimensions
Get PDFA pineapple peeling machine was completed, and the functionality was. The Central composite rotate strategy CCRD involving three variables at five (5) stages was employed for the investigations plus the investigational variables been weight, diameter and height of pineapple, while weights of peeled pineapple and peel, machine peeling time and efficiency were the dependent variables. Data was analysed using quadratic interaction regressions model at P ≤ 0.05 levels of significance, then the working variables were correlated to the pineapple machine peeling efficiency. The investigational outcomes were applied to confirm the predicted optimal settings. Maximal pineapple peeling efficacy of 91.89 % was found at unpeeled weights 3.34 kg, diameter 70 mm and height 220 mm of pineapple. Peeling time recorded was between 9 and 10 seconds, while the predicted best values were: peeling efficiency 90.586 %, weights of peeled (2.495 kg) and peel of pineapples 1.153 kg having desirability 1. The determination coefficient (R2) for machine peeling efficiency was 0.5554; weight of pineapples ranged between 1.66 - 3.34 kg, diameter 53.18 - 86.82 mm and height 203.218 - 236.81 mm, respectively. The differences that occurred between the predicted and investigational rates were minimal and statistically non-significant, which indicated that the designated model can be ably used to calculate the machines’ peeling efficiency
Postcard from Unknown to [Milton Wright], from Tajuana, Mexico (Reuben the Guide and the Customs House)
Get PDFAn undated postcard from Tajuana, Mexico featuring a local guide, Ruben, and the customs house. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1102/thumbnail.jp
Postcard from Unknown to [Milton Wright], from Knightstown, Indiana (Pennsylvania Railroad Depot)
Get PDFAn undated Knightstown, Indiana postcard featuring the Pennsylvania Railroad Depot. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1064/thumbnail.jp
Postcard from Unknown to [Milton Wright], from Paris, France (Statue de la République)
Get PDFAn undated postcard from Paris, France featuring the Statue de la République. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1092/thumbnail.jp
Postcard from Unknown to [Milton Wright], from Paris, France (L\u27Arc de Triomphe de l\u27Étoile)
Get PDFAn undated postcard from Paris France featuring the Arc de Triomphe. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1090/thumbnail.jp
Postcard from Unknown to [Milton Wright], from Indianapolis, Indiana (Soldiers and Sailors\u27 Monument)
Get PDFAn undated Indianapolis, Indiana postcard featuring the Soldier and Sailors\u27 Monument. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1063/thumbnail.jp
Postcard from Unknown to [Milton Wright], from Jamaica (Malabre\u27s Hardware Store)
Get PDFAn undated postcard from Jamaica featuring Malabre\u27s Hardware Store on Port Royal Street after the Great Earthquake on January 14th, 1907. Collected by Milton Wright.https://corescholar.libraries.wright.edu/special_ms711_postcards/1101/thumbnail.jp
Organizational Support for Resilient Performance in Part 121 Flight Deck Operations
Get PDFUnderstanding resilient performance in routine operations has emerged as a key conceptin enhancing aviation safety and creating a culture of continuous learning. To enablepilots to learn from all operations, positive behaviors during routine operations must beobserved, measured, trained, and evaluated. However, no systematic analysis has beenperformed to assess the current state of support for learning from all operations in Part121 carriers. In this project, a framework for gap analysis was developed, semistructuredinterviews with subject matter experts in safety and training were conducted,the current state was determined, the ideal state was determined, and a matrix to closethe gaps was developed. Results showed gaps in data sources, data gathering, dataanalysis, data feedback into the system, leadership buy-in, flight deck buy-in, effectivecommunication of resilient performance and Learning All Operations, and performancefeedback tools. Airlines, industry support organizations, academia, and unions eachhave opportunities to close the gaps in organizational support for resilient performancein all operations
Complex Skill Learning and ATC: Examining Stress Response and Distress Mitigation With EEG and ECG
Get PDFAir Traffic Control (ATC) trainees at the FAA Academy and developmentalcontrollers in the field often face dynamic and unexpected events in training,which may impact safe and effective human performance if certain vulnerabilitiesare not properly managed or mitigated. We integrate theory on self-regulatedworkplace training with a cognitive neuroscience perspective on attention touniquely examine the effects of surprise and stress on performance. Our near-termgoal is to demonstrate the viability of using physiological measures to predictperformance changes in a laboratory study of young adults learning a complexvideogame. We use a novel, event-marked and person-centric longitudinalapproach to the analysis of physiological variables to distinguish shifts in effortfulperformance in terms of exploration (discovering new possibilities) andexploitation (refining skill) to predict changes in performance in response to asurprise event. Preliminary findings are presented
Lessons Learned To Prevent Loss of Control: A Review of Incidents From Pilot Archives
Get PDFInflight loss of control (LOC-I) remains the leading cause of General Aviation accidents. Previous accident database analyses suggest that human factors play arole in LOC-I but provide limited details on specific causes. Moreover, with halfof LOC-I accidents being fatal, identifying lessons learned from survivors is challenging. This study analyzed 21 LOC-I incidents reported in the AOPA Pilot magazine’s ‘Never Again’ series over 12 years to identify causal factors contributing to loss of control. Findings highlight aircraft control issues,complacency, and poor decision-making, particularly in severe weather as major contributors. Lessons learned from these articles highlight the importance of situational awareness and thorough preflight planning to prevent loss of control.This study highlights the importance for continuous training and risk assessment to improve General Aviation safety