Advancing the safety culture of a semi-state energy company

Electron energy-loss near-edge structure in silicate minerals

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100130924 ◽

1992 ◽

Vol 50 (2) ◽

pp. 1258-1259

Author(s):

D W McComb ◽

R S Payne ◽

P L Hansen ◽

R Brydson

Keyword(s):

Solid State ◽

Energy Loss ◽

Electron Energy ◽

State Energy ◽

Local Environment ◽

Edge Structure ◽

Silicate Minerals ◽

Two Samples ◽

Electron Energy Loss ◽

Careful Processing

Electron energy-loss near-edge structure (ELNES) is an effective probe of the local geometrical and electronic environment around particular atomic species in the solid state. Energy-loss spectra from several silicate minerals were mostly acquired using a VG HB501 STEM fitted with a parallel detector. Typically a collection angle of ≈8mrad was used, and an energy resolution of ≈0.5eV was achieved.Other authors have indicated that the ELNES of the Si L2,3-edge in α-quartz is dominated by the local environment of the silicon atom i.e. the SiO4 tetrahedron. On this basis, and from results on other minerals, the concept of a coordination fingerprint for certain atoms in minerals has been proposed. The concept is useful in some cases, illustrated here using results from a study of the Al2SiO5 polymorphs (Fig.l). The Al L2,3-edge of kyanite, which contains only 6-coordinate Al, is easily distinguished from andalusite (5- & 6-coordinate Al) and sillimanite (4- & 6-coordinate Al). At the Al K-edge even the latter two samples exhibit differences; with careful processing, the fingerprint for 4-, 5- and 6-coordinate aluminium may be obtained.

Download Full-text

Associations Between Self-Report of Emotional State and the EEG Patterns in Affective Disorders Patients

Journal of Psychophysiology ◽

10.1027/0269-8803/a000004 ◽

2010 ◽

Vol 24 (1) ◽

pp. 33-40 ◽

Cited By ~ 7

Author(s):

Miroslaw Wyczesany ◽

Jan Kaiser ◽

Anton M. L. Coenen

Keyword(s):

State Energy ◽

Emotional State ◽

Spectral Power ◽

Bipolar Affective Disorder ◽

Affective State ◽

Manic Episode ◽

High Energy ◽

Self Report ◽

Major Depressive ◽

High Tension

The study determines the associations between self-report of ongoing emotional state and EEG patterns. A group of 31 hospitalized patients were enrolled with three types of diagnosis: major depressive disorder, manic episode of bipolar affective disorder, and nonaffective patients. The Thayer ADACL checklist, which yields two subjective dimensions, was used for the assessment of affective state: Energy Tiredness (ET) and Tension Calmness (TC). Quantitative analysis of EEG was based on EEG spectral power and laterality coefficient (LC). Only the ET scale showed relationships with the laterality coefficient. The high-energy group showed right shift of activity in frontocentral and posterior areas visible in alpha and beta range, respectively. No effect of ET estimation on prefrontal asymmetry was observed. For the TC scale, an estimation of high tension was related to right prefrontal dominance and right posterior activation in beta1 band. Also, decrease of alpha2 power together with increase of beta2 power was observed over the entire scalp.

Download Full-text

Safety Culture and Safety-Relevant Behavior in Air Traffic Management

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000068 ◽

2015 ◽

Vol 5 (1) ◽

pp. 3-17 ◽

Cited By ~ 5

Author(s):

Michaela Schwarz ◽

K. Wolfgang Kallus

Keyword(s):

Safety Culture ◽

Traffic Management ◽

Service Providers ◽

Five Factor Model ◽

Principal Component ◽

Air Traffic Management ◽

Air Traffic ◽

Psychometric Validation ◽

Safety Attitudes ◽

Culture Development

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.

Download Full-text

Got the Results, Now What Do You Do?

Aviation Psychology and Applied Human Factors ◽

10.1027/2192-0923/a000020 ◽

2012 ◽

Vol 2 (1) ◽

pp. 25-33 ◽

Cited By ~ 7

Author(s):

Michaela Heese

Keyword(s):

Safety Culture ◽

Success Factors ◽

Service Providers ◽

Transformation Process ◽

Driving Safety ◽

Critical Success ◽

Culture Transformation ◽

Survey Results ◽

Air Navigation Services ◽

Navigation Service

Members of the Civil Air Navigation Services Organisation have committed themselves to measure and improve safety culture within their organizations by 2013 ( CANSO, 2010 ). This paper attempts to offer support to air navigation service providers that have already implemented a standardized safety culture survey approach, in the process of transforming their safety culture based on existing survey results. First, an overview of the state of the art with respect to safety culture is presented. Then the application of the CANSO safety culture model from theory into practice is demonstrated based on four selected case studies. Finally, a summary of practical examples for driving safety culture change is provided, and critical success factors supporting the safety culture transformation process are discussed.

Download Full-text