ABSTRACT
BACKGROUND: Resilience is described as a process where an individual mobilizes his personal and external resources to overcome stressors and trauma. As a consequence, researchers tried to identify the factors that contribute to resilience with the aim of developing valid psychological interventions that target resilience. Many authors have stated that personality traits represent an important category of predictors of resilience. The most important relationships were found between high levels of extraversion, agreeableness, and emotional stability and resilience. PARTICIPANTS AND PROCEDURE: We relied on a community sample (N = 252, Mage = 26.38, SD = 10.17, 62.5% women, 39.5% men) to test the hypothesized indirect relationship between the Big Five personality traits, self-determination, and resilience. The participants were voluntarily recruited from various social media platforms. The participants completed measures of Big Five personality factors, self-determination, and resilience. RESULTS: We found that all the Big Five factors were positively related to resilience. Impersonal orientation (low self-determination) mediated the relationship between extraversion, agreeableness, conscientiousness, and openness on the one hand and resilience on the other hand. CONCLUSIONS: Relying on the low impersonal orientation components (e.g., sense of competence, determination, lack of anxiety, or depression) scientists and practitioners can enhance resilience by teaching their clients to be more self-determined. Theoretical and practical implications are discussed.
ABSTRACT
Identification and quantification of polyphenols in plant material are of great interest since they make a significant contribution to its total bioactivity. In the present study, an UPLC-Orbitrap-MS/MS approach using the variable data acquisition mode (vDIA) was developed and applied for rapid separation, identification, and quantification of the main polyphenolic compounds in Medicago sativa L. and Trifolium pratense L. sprouts in different germination stages. Based on accurate MS data and fragment ions identification strategy, a total of 29 compounds were identified by comparing their accurate masses, fragment ions, retention times, and literatures. Additionally, a number of 30 compounds were quantified by comparing to the reference standards. Data were statistically analysed. For both plant species, the sprouts of the third germination day are valuable sources of bioactive compounds and could be used in phytotherapy and nutrition. Although Trifolium pratense L. (Red Clover) is considered to be a reference for natural remedies in relieving menopause disorders, alfalfa also showed a high level of biological active compounds with estrogenic activity.
Subject(s)
Flavonoids/chemistry , Medicago sativa/chemistry , Polyphenols/chemistry , Seedlings/chemistry , Trifolium/chemistry , Chromatography, High Pressure Liquid , Flavonoids/classification , Flavonoids/isolation & purification , Germination/physiology , Limit of Detection , Mass Spectrometry , Medicago sativa/growth & development , Medicago sativa/metabolism , Plant Extracts/chemistry , Polyphenols/classification , Polyphenols/isolation & purification , Reference Standards , Seedlings/metabolism , Time Factors , Trifolium/growth & development , Trifolium/metabolismABSTRACT
OBJECTIVE: Oral cavity squamous cell carcinoma (SCC) may present with early invasion of mandibular bone. Preoperative planning of surgery is essential considering patient's postoperative quality of life. Our purpose was to evaluate the efficacy of computer tomography scan (CT) and magnetic resonance imaging (MRI) in detecting mandibular bone involvement in oral SCC. METHODS: A retrospective study was conducted on 98 patients with SCC of floor of mouth, lower alveolus and retromolar trigone operated on with curative intent. Preoperative CT and MRI scans were re-reviewed by a consultant radiologist and original histology slides were re-reviewed by 3 pathologists. RESULTS: Forty-five patients were included in the final study. Combined CT and MRI had a sensitivity of 100% and a specificity of 72%. CONCLUSION: The results suggest that combined CT and MRI have diagnostic utility in detecting mandibular invasion by oral cancer, but with a significant false positive rate.
