The development and deployment of a maintenance operations safety survey

Objective: Based on the line operations safety audit (LOSA), two studies were conducted to develop and deploy an equivalent tool for aircraft maintenance: the maintenance operations safety survey (MOSS). Background: Safety in aircraft maintenance is currently measured reactively, based on the number of audit findings, reportable events, incidents, or accidents. Proactive safety tools designed for monitoring routine operations, such as flight data monitoring and LOSA, have been developed predominantly for flight operations. Method: In Study 1, development of MOSS, 12 test peer-to-peer observations were collected to investigate the practicalities of this approach. In Study 2, deployment of MOSS, seven expert observers collected 56 peer-to-peer observations of line maintenance checks at four stations. Narrative data were coded and analyzed according to the threat and error management (TEM) framework. Results: In Study 1, a line check was identified as a suitable unit of observation. Communication and third-party data management were the key factors in gaining maintainer trust. Study 2 identified that on average, maintainers experienced 7.8 threats (operational complexities) and committed 2.5 errors per observation. The majority of threats and errors were inconsequential. Links between specific threats and errors leading to 36 undesired states were established. Conclusion: This research demonstrates that observations of routine maintenance operations are feasible. TEM-based results highlight successful management strategies that maintainers employ on a day-to-day basis. Application: MOSS is a novel approach for safety data collection and analysis. It helps practitioners understand the nature of maintenance errors, promote an informed culture, and support safety management systems in the maintenance domain

Organic Farming - structure, production and nature management

“Nature Quality in Organic Farming” - is a research project connected to the Danish Research Centre for Organic Farming. The aim has been to develop new methods for characterising nature content on organic farms, to investigate how nature elements are managed on different farms, and to discuss development strategies and ways to communicate this knowledge to different stakeholders. This following is a presentation of the results that emerged from an extensive interview survey with 347 organic farmers from 2002-03

The development of the maintenance operations safety survey: challenges in transferring a predictive safety tool from flight operations to aircraft maintenance

Predicting human behaviour and managing human error is arguably the greatest challenge facing the aviation industry today (Shappell and Wiegmann, 2009). In order to gain a better understanding of human behaviour and overall organizational safety performance, the industry is moving towards monitoring of normal operations (Helmreich et al., 2003). One of the key advantages is the learning opportunity without the negative consequences and associated costs of an incident or accident. Predictive tools such as the Line Operations Safety Audit (LOSA) provide objective information of routine operational performance, complement existing safety data collection programs and are endorsed by the International Civil Aviation Organization (ICAO)

Understanding Digital Nomadism as an Employer Branding Signal

The advancement of digital technologies and the wider acceptance of remote work have led to heightened expectations among knowledge workers. Nowadays, many individuals make career decisions based on the level of flexibility that is offered by employers. This paper explores to what extent the label of ‘digital nomadism’ is used and perceived as an employer branding signal in the context of corporate work. Preliminary findings from qualitative interviews with corporate employees that engage in nomadic work suggest that promoting digital nomadism as an employer is perceived as an attractive signal. However, the data also shows that employers are reluctant to send this signal to potential employees but rather use it internally to retain talent within the organization. The paper proposes a framework that informs signaling theory and puts forth a notion of digital nomadism as an employer branding signal for talent attraction and retention in organizations

Økologisk jordbrug - struktur, produktion og naturforvaltning

”Naturkvalitet i Økologisk Jordbrug”er et forskningsprojekt knyttet til Forskningscenter for Økologisk Jordbrug. Formålet med projektet har været at udvikle nye metoder til at karakterisere naturindholdet på de økologiske bedrifter, at undersøge forvaltningen af natur på forskellige bedrifter, og at diskutere udviklingsmuligheder og måder at formidle denne viden på mellem interessegrupper. Denne rapport er en præsentation af de resultater, der kom ud af en omfattende interviewundersøgelse som 347 danske økologiske landmænd deltog i, i 2002-03

Das 3 x 2 Achievement Goal Model

In den letzten Jahrzehnten wurden zahlreiche Modelle zu Zielen entwickelt und anhand unterschiedlicher lern- und leistungsrelevanter Variablen untersucht. Dies hat bedeutend zum Verständnis des Konstrukts beigetragen und führte 2011 zu einer neuen Kategorisierung der Ziele. Das 3 x 2 Achievement Goal Model nach Elliot, Murayama und Pekrun (2011) konzeptualisiert Ziele im Leitungskontext über den Evaluationsstandard zur Definition der angestrebten Kompetenz (aufgabenbezogen, selbstbezogen, fremdbezogen) und deren Valenz (Annäherung, Vermeidung). Ziel der vorliegenden Studie war es, die Konsequenzen von fremdbezogenen, selbst¬bezogenen und aufgabenbezogenen Zielen auf Fähigkeits¬selbst¬konzept, Umgang mit Misserfolg und Interesse zu untersuchen; zusätzlich wurden die Effekte auf die Prüfungs¬leistung analysiert. Hierzu wurde ein Online-Fragebogen im Rahmen der Prüfung Forschungsmethoden & Evaluation bzw. Praxis wissenschaftlichen Arbeitens an der Universität Wien von 389 PsychologiestudentInnen des Bachelor- & Diplomstudiengangs bearbeitet. Die Ziele wurden dabei in Anlehnung an zwei Studien von Elliot et al. (2011) mit einer neu entwickelten deutschen Version des Achievement Goal Questionnaires erfasst. Fremd-Annäherungsziele korrelierten positiv mit der Prüfungsleistung, dem Fähigkeitsselbstkonzept und Interesse. Für Fremd-Vermeidungsziele zeigte sich ein negativer Zusammenhang mit dem Fähigkeitsselbst¬konzept. Aufgaben-Annäherungsziele hingen positiv mit der Prüfungsleistung, dem Umgang mit Misserfolg und Interesse zusammen. Selbst-Annäherungsziele zeigten ebenfalls eine positive Korrelation mit Interesse. Selbst-Vermeidungsziele und Umgang mit Misserfolg wiesen dahingegen einen negativen Zusammenhang auf. An den Ergebnissen wird deutlich, dass sowohl Aufgaben-Annä¬herungs¬¬ziele und Selbst-Annäherungsziele als auch Fremd-Annä¬herungs¬¬ziele positive Zusammenhänge mit motivationalen Konstrukten aufweisen. Die traditionelle Annahme, Kompe¬tenz¬ziele seien Performanz¬zielen grundsätzlich überlegen, zeigt sich in der Konzeptu¬alisierung der Ziele im 3 x 2 Modell nicht. So trägt dieser Befund zum Erkenntnis¬gewinn in der Bildungsforschung bei und stellt einen Ausgangspunkt für neue Forschungsansätze zu Vor- und Nachteilen der Anwendung spezifischer Ziel¬e in Abhängigkeit unterschiedlicher Kontexte dar

Transport is important in the carbon footprint of imported organic plant products.

Farmers or consumers may ask about the environmental implications when choosing organic products. Is it sustainable to buy organic products from China or South America? How much does the long-distance transport affect the climate and carbon footprint of the products? And does the organic production in the countries concerned benefit the environment? These are some of the questions raised – and the point of departure for a recently finalized PhD study

Renewable fuel regulation: Implications for e-fuel production infrastructure in energy hubs

Renewable fuels of non-biological origin (RFNBOs) are needed to decarbonize hard-to-electrify sectors that rely on liquid or gaseous fuels, such as long-haul shipping. The EU's Delegated Act on RFNBOs defines renewable hydrogen by considering rules on additionality as well as temporal and geographical correlation of the electricity used. For a Danish case study, we examine the impact on the capacity expansion problem of an energy hub producing renewable hydrogen, e-methanol, and e-ammonia using a mixed-integer linear problem formulation. We analyze the investments in production capacity, storage assets, and Power Purchase Agreement (PPA) volume under different fuel price assumptions for 2030. We find that e-methanol (combined with limited storage to secure hydrogen supply to the synthesizer) provides the best business case with a PPA volume based on the maximum allowed electrolyzer size.Comment: Accepted versio

Power-to-X in Energy Hubs: Operations and Policies Supporting the Scale-Up of Renewable Fuel Production

Power-to-X (P2X) needs to scale up rapidly to provide the fuels required in the hard-to-decarbonize industrial and heavy transport sector. Only recently, the European Commission proposed requirements for \textit{renewable} fuels. P2X energy hubs enable efficient synergies between energy infrastructures, production facilities, and storage options. In this study, we explore the optimal operation of an energy hub by leveraging the flexibility of P2X including hydrogen, methanol, and ammonia synthesizers, and analyze potential revenue streams such as the day-ahead and ancillary service markets. We propose EnerHub2X, a mixed-integer linear program that maximizes the hub's profit based on current market prices, considering technical constraints of P2X such as unit commitment and non-linear efficiencies. We model a representative Danish energy hub and find that without price incentives, it mainly produces liquid hydrogen and sells renewable electricity. Only by adding a price premium of about 50\% (0.16 \euro{}/kg) to the conventional fuel prices, sufficient amounts of renewable ammonia and methanol are produced. To utilize production efficiently, on-site renewable capacity and P2X must be carefully aligned. We show that renewable power purchase agreements can provide flexibility while complying with the rules set by the European Commission

An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the HYPSO-1 Satellite

Hyperspectral Imaging, employed in satellites for space remote sensing, like HYPSO-1, faces constraints due to few labeled data sets, affecting the training of AI models demanding these ground-truth annotations. In this work, we introduce The HYPSO-1 Sea-Land-Cloud-Labeled Dataset, an open dataset with 200 diverse hyperspectral images from the HYPSO-1 mission, available in both raw and calibrated forms for scientific research in Earth observation. Moreover, 38 of these images from different countries include ground-truth labels at pixel-level totaling about 25 million spectral signatures labeled for sea/land/cloud categories. To demonstrate the potential of the dataset and its labeled subset, we have additionally optimized a deep learning model (1D Fully Convolutional Network), achieving superior performance to the current state of the art. The complete dataset, ground-truth labels, deep learning model, and software code are openly accessible for download at the website https://ntnu-smallsat-lab.github.io/hypso1_sea_land_clouds_dataset/ .Comment: Computer Vision, Artificial Intelligence, Remote Sensing, Earth Observation, Hyperspectral Imaging, Classification, Labeled Dat