15 research outputs found

    An overview of the utilisation of microalgae biomass derived from nutrient recycling of wet market wastewater and slaughterhouse wastewater

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    Microalgae have high nutritional values for aquatic organisms compared to fish meal, because microalgae cells are rich in proteins, lipids, and carbohydrates. However, the high cost for the commercial production of microalgae biomass using fresh water or artificial media limits its use as fish feed. Few studies have investigated the potential of wet market wastewater and slaughterhouse wastewater for the production of microalgae biomass. Hence, this study aims to highlight the potential of these types of wastewater as an alternative superior medium for microalgae biomass as they contain high levels of nutrients required for microalgae growth. This paper focuses on the benefits of microalgae biomass produced during the phycore-mediation of wet market wastewater and slaughterhouse wastewater as fish feed. The extraction techniques for lipids and proteins as well as the studies conducted on the use of microalgae biomass as fish feed were reviewed. The results showed that microalgae biomass can be used as fish feed due to feed utilisation efficiency, physiological activity, increased resistance for several diseases, improved stress response, and improved protein retention

    The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia: design, results and future prospects

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    The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites

    Physician Burnout and Patient Satisfaction with Consultation in Primary Health Care Settings: Evidence of Relationships from a one-with-many Design

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    Physician burnout, as a prolonged response to chronic emotional and interpersonal stressors on the job, has been associated with suboptimal patient care and deterioration in the patient-provider relationship. Although prior studies have identified a range of factors associated with decreased patient satisfaction, most have been conducted in tertiary care settings, while staff burnout has been examined at the hospital unit-level. To examine the impact of physician burnout on patient satisfaction from consultation in the primary care setting, a cross-sectional survey was conducted in Western Greece. Using a one-with-many design, 30 physicians and 300 of their patients, randomly selected, responded to the survey. Results showed that patient satisfaction correlated significantly with physician emotional exhaustion (r = -.636, p<.01) and physician depersonalization (r = -.541, p<.01). Mixed-effects multi-level models indicated that 34.4% of total variation in patients' satisfaction occurred at the physician level, after adjustment for patients' characteristics. Moreover, physician emotional exhaustion and depersonalisation remained significant factors associated with patient satisfaction with consultation, after controlling for patient and physician characteristics. Patients of physicians with high-exhaustion and high depersonalisation had significantly lower satisfaction scores, compared with patients of physicians with low-exhaustion and low depersonalisation, respectively. Future studies need to explore the mechanisms by which physician burnout affects patient satisfaction
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