Safety Culture and Collective Commitment in Organizational Context

In nuclear power plants and process industry safety is the number one priority over profitability and productivity. In such high-risk environments where individuals work independently their decisions can lead to dangerous situations to coworkers, organizations or even to society. In many cases, a loose commitment to occupational role causes individual to perceive safety culture as something too much detailed which makes them to lose focus on what is important regarding the safety culture. In our view, this is a problem for collective safety culture to raise to a higher level. To understand organizations collective safety culture and safety consciousness it is important to analyze employees individually to see what are their internal feelings, understanding and aims. This paper presents a joint analysis of organization’s safety culture and commitment towards their organization by utilizing also Company Democracy Model (CDM)

Measuring Student Engagement and Commitment on Private Academic Institutions Using Fuzzy Logic Expert System Metrics Applications

Even though academic knowledge is provided to academic institutions under very specific academic standards in teaching and research, the instruction’s management can impact significantly the student engagement and commitment on receiving and utilizing such knowledge. To analyse this challenge, a Fuzzy Logic, expert system-based software application has been developed and applied on a private academic institution. In this research the institution participated with 40 undergraduate students, from 24 different countries from two different semesters on the same course. The technology measures the student engagement and commitment via the co-evolute methodology for knowledge elicitation. By utilizing this approach, the management of academic institutions can make development analysis based on concrete bottom-up results. The collective analysis of the test results clearly identifies where students see the needs for greatest development and how they view their current state of engagement

Phronetic leadership style evaluation with a fuzzy logic application

The purpose of leadership style assessments is to determine the basic features and characteristics of leadership behaviours and to reveal the leader’s personality traits and abilities and to increase their self-awareness. The style can be, for example, democratic, autocratic, bureaucratic, laissez-faire, strategic, visionary, transformational, or transactional. However, ordinary assessments do not help leaders analyze their knowledge and wisdom behind their behaviours. The Wisdom Cube seeks to explain wisdom through the four dimensions of wisdom and provides a practical way of understanding the knowledge and wisdom in leadership. By utilising the dimensions and planes of the Wisdom Cube, we can find the way from data handling, information processing, and knowledge creation to wisdom generation. The aim of this research is, therefore, to reveal the ontology of the phronetic leader and to create a practical evaluation tool for leaders. The content of the article covers the elements of the Wisdom Cube, presents related efforts to measure and analyze phronetic leadership characteristics, and shows the practical results of the first test runs with the fuzzy logic-based application. The personal deep understanding of the leadership traits may then help the leaders to turn their current leadership styles more phronetic

Aqueous modification of chitosan with itaconic acid to produce strong oxygen barrier film

In this study, the chemical modification of chitosan using itaconic acid as a natural-based unsaturated dicarboxylic acid was investigated. In an aqueous environment, the amine group of chitosan reacts with itaconic acid to produce a chitosan derivative with pyrrolidone-4-carboxylic acid group. On the basis of the elemental analysis, 15 of the amine groups of chitosan reacted, thus creating modified chitosan with amine and carboxylic acid functionalities. Due to the presence of amine and carboxylic acid groups, the surface charge properties of the chitosan were notably altered after itaconic acid modification. In an aqueous solution, the modified chitosan exhibited zwitterionic properties, being cationic at low pH and turning anionic when the pH was increased over 6.5, whereas the original chitosan remained cationic until pH 9. Furthermore, it was demostrated that the modified chitosan was suitable for the preparation of a self-standing film with similarly high transparency but notably higher mechanical strength and oxygen barrier properties compared to a film made from the original chitosan. In addition, the thermal stability of the modified chitosan film was higher than that of the original chitosan film, and the modified chitosan exhibited flame-retardant properties

The head or the verb:Is the lexical boost restricted to the head verb?

Four structural priming experiments investigated whether the lexical boost is due to the repeated head verb of the primed structure or due to the repetition of any verb, testing structural priming of ditransitive structures (The hotel owner decided to loan the tourist a tent/a tent to the tourist). In Experiments 1–3, we manipulated the repetition of the matrix verb (decided) that is not the syntactic head in the primed structure. The results showed abstract structural priming of the embedded ditransitive structure but the repetition of the matrix verb did not boost the priming. In addition to manipulating the repetition of the matrix verb, we also manipulated the head verb of the primed structure (loan) in Experiment 4. It showed a lexical boost with the repetition of the head verb but no boost with the repetition of the matrix verb. These results are consistent with the residual activation model, which only predicts a boost from the verb that is the head of the primed structure. They do not support models which predict that the repetition of any lexical material in a sentence boosts priming

Using Effect Size in Evaluating Academic Engagement and Motivation in a Private Business School

This research analyses student engagement and motivation data gathered from a UK-based private business university and multiple European public universities. The data was obtained using an Internet-based generic expert system called Evolute. In this research, the self-evaluation results from 40 undergraduate business school students were subjected to comparison analysis using an effect size described by Cohen’s d-values. Using the effect size in the analysis helps to easily identify the areas or the specific items where the benchmarked university is doing well compared to others, as well as to find out the areas or items that could be subjected for improvement. According to the results, the benchmarked institution scored higher mean values in 95% of statements than all the other cases conducted with the instrument at public universities

A review of transformative strategies for climate mitigation by grasslands

Grasslands can significantly contribute to climate mitigation. However, recent trends indicate that human activities have switched their net cooling effect to a warming effect due to management intensification and land conversion. This indicates an urgent need for strategies directed to mitigate climate warming while enhancing productivity and efficiency in the use of land and natural (nutrients, water) resources. Here, we examine the potential of four innovative strategies to slow climate change including: 1) Adaptive multi-paddock grazing that consists of mimicking how ancestral herds roamed the Earth; 2) Agrivoltaics that consists of simultaneously producing food and energy from solar panels on the same land area; 3) Agroforestry with a reverse phenology tree species, Faidherbia (Acacia) albida, that has the unique trait of being photosynthetically active when intercropped herbaceous plants are dormant; and, 4) Enhanced Weathering, a negative emission technology that removes atmospheric CO2 from the atmosphere. Further, we speculate about potential unknown consequences of these different management strategies and identify gaps in knowledge. We find that all these strategies could promote at least some of the following benefits of grasslands: CO2 sequestration, non-CO2 GHG mitigation, productivity, resilience to climate change, and an efficient use of natural resources. However, there are obstacles to be overcome. Mechanistic assessment of the ecological, environmental, and socio-economic consequences of adopting these strategies at large scale are urgently needed to fully assess the potential of grasslands to provide food, energy and environmental security

An expert consensus on the recommendations for the use of biomarkers in Fabry disease

Fabry disease is an X-linked lysosomal storage disorder caused by the accumulation of glycosphingolipids in various tissues and body fluids, leading to progressive organ damage and life-threatening complications. Phenotypic classification is based on disease progression and severity and can be used to predict outcomes. Patients with a classic Fabry phenotype have little to no residual α-Gal A activity and have widespread organ involvement, whereas patients with a later-onset phenotype have residual α-Gal A activity and disease progression can be limited to a single organ, often the heart. Diagnosis and monitoring of patients with Fabry disease should therefore be individualized, and biomarkers are available to support with this. Disease-specific biomarkers are useful in the diagnosis of Fabry disease; non-disease-specific biomarkers may be useful to assess organ damage. For most biomarkers it can be challenging to prove they translate to differences in the risk of clinical events associated with Fabry disease. Therefore, careful monitoring of treatment outcomes and collection of prospective data in patients are needed. As we deepen our understanding of Fabry disease, it is important to regularly re-evaluate and appraise published evidence relating to biomarkers. In this article, we present the results of a literature review of evidence published between February 2017 and July 2020 on the impact of disease-specific treatment on biomarkers and provide an expert consensus on clinical recommendations for the use of those biomarkers

Sleep during menopausal transition : A 10-year follow-up

Correction: Volume44, Issue12 Article Number: zsab211 DOI: 10.1093/sleep/zsab211 Published: DEC 10 2021 Publisher Copyright: © 2020 Sleep Research Society 2020. Published by Oxford University Press on behalf of the Sleep Research Society.Study Objectives: A 10-year observational follow-up study to evaluate the changes in sleep architecture during the menopausal transition. Methods: Fifty-seven premenopausal women (mean age 46 years, SD 0.9) were studied at baseline and after a 10-year follow-up. At both time points, polysomnography (PSG) was performed, and the serum follicle-stimulating hormone (S-FSH) concentration was measured. Linear regression models were used to study the effects of aging and menopause (assessed as change in S-FSH) on sleep. Results: After controlling for body mass index, vasomotor, and depressive symptoms, higher S-FSH level was associated with longer sleep latency (B 0.45, 95% confidence interval [CI]: 0.07 to 0.83). Aging of 10 years was associated with shorter sleep latency (B -46.8, 95% CI: -77.2 to -16.4), shorter latency to stage 2 sleep (B -50.6, 95% CI: -85.3 to -15.9), decreased stage 2 sleep (B -12.4, 95% CI: -21.4 to -3.4), and increased slow-wave sleep (B 12.8, 95% CI: 2.32 to 23.3) after controlling for confounding factors. Conclusions: This study suggests that PSG measured sleep of middle-aged women does not worsen over a 10-year time span due to the menopausal transition. The observed changes seem to be rather age- than menopause-dependent.Peer reviewe

Sleep During Menopausal Transition : A 6-Year Follow-Up

Correction: Volume44, Issue12 Article Numberzsab211 DOI10.1093/sleep/zsab211 PublishedDEC 2021Study Objectives: Menopausal transition is associated with increased dissatisfaction with sleep, but the effects on sleep architecture are conflicting. This prospective 6-year follow-up study was designed to evaluate the changes in sleep stages and sleep continuity that occur in women during menopausal transition. Methods: Sixty women (mean age 46.0 years, SD 0.9) participated. All women were premenopausal at baseline, and at the 6-year follow-up, women were in different stages of menopausal transition. Polysomnography was used to study sleep architecture at baseline and follow-up. The effects of aging and menopause (assessed as change in serum follicle-stimulating hormone [S-FSH]) on sleep architecture were evaluated using linear regression models. Results: After controlling for body mass index, vasomotor, and depressive symptoms, aging of 6 years resulted in shorter total sleep time (B -37.4, 95% confidence interval [CI] -71.5 to (-3.3)), lower sleep efficiency (B -6.5, 95% CI -12.7 to (-0.2)), as well as in increased transitions from slow-wave sleep (SWS) to wakefulness (B 1.0, 95% CI 0.1 to 1.9), wake after sleep onset (B 37.7, 95% CI 12.5 to 63.0), awakenings per hour (B 1.8, 95% CI 0.8 to 2.8), and arousal index (B 2.3, 95% CI 0.1 to 4.4). Higher S-FSH concentration in menopausal transition was associated with increased SWS (B 0.09, 95% CI 0.01 to 0.16) after controlling for confounding factors. Conclusions: A significant deterioration in sleep continuity occurs when women age from 46 to 52 years, but change from premenopausal to menopausal state restores some SWS.Peer reviewe