This paper describes a methodology that provides detailed predictive performance information throughout the software design and implementation cycles. It is structured around a hierarchy of performance models that describe the computing system in terms of its software, parallelization, and hardware components. The methodology is illustrated with an implementation, the performance analysis and characterization environment (PACE) system, which provides information concerning execution time, scalability, and resource use. A principal aim of the work is to provide a capability for rapid calculation of relevant performance numbers without sacrificing accuracy. The predictive nature of the approach provides both pre and post implementation analyses and allows implementation alternatives to be explored prior to the commitment of an application to a system. Because of the relatively fast analysis times, these techniques can be used at runtime to assist in application steering and scheduling with reference to dynamically changing systems and metacomputing.

Twenty traditional carob products were measured for their nutritional composition, and their results were compared with the pulp of Cypriot carob cultivars. Moisture, ash, fat, proteins, sugars, dietary fibers, minerals, caffeine‐theobromine, carbohydrates, and energy value were determined. Fluctuations of the nutritional composition values based on the ingredients’ chemical synthesis and product manufacturing process were noted. Only 60% of the products had a label indicating their nutritional value, and the majority of them (75%) were consistent with that of labeling. Chemometric analyses distinguished the carob products according to their type and the discriminator components highlighted their particular nutritional value. Carobs can be characterized as functional foods with low‐fat content, high content in dietary fibers, and high content and/or source of minerals; however, carob products partially satisfied those health and nutritional claims as expected. This pilot research contributes to the nutritional estimation of carob and highlights the traditional carob products.

The Copenhagen Burnout Inventory (CBI) is a tool for the burnout measurement including three different subscales: (i) personal, (ii) work-related and (iii) client-related burnout. The aim of this study was the translation and validation of CBI into the Greek Language. Initially the questionnaire was distributed to 35 medical students for face validity assessment. Then, 282 residents answered the Greek version of CBI so as for construct validity to be examined. The data analysis was performed by using SPSS and AMOS. Face validity was estimated above 0.8 for the Greek version of CBI. The three factors model of CBI-Greek, with 1 item removed, achieved not so well-defined inner structure in CFI. However, the 16-item model achieved good levels of goodness-of-fit indices (Cmin/df 2.52, RMSEA 0.074, GFI 0.901, CFI70.938, NFI 0.901, TLI 0.923). The composite reliability values, also varied from 0.842 to 0.852. Cronbach’s alpha index values surpassed 0.844. The 16-item model of CBI-Gr is a valid tool with high internal consistency that can be used in the evaluation of burnout in Greek population. The original 3 items model is a possible alternative.

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Objective A number of risk and protective factors have been described on the development of burnout syndrome amongst medical residents. The current study aims to investigate the impact of hospital educational environment and occupational stress on trainee doctors burnout. A cross-sectional study among 269 medical residents was conducted. Greek version of Postgraduate Hospital Educational Environment Measure (PHEEM-G) for the assessment of their educational environment, Greek Version of Job Stress Measure (JSM-G) for the stress assessment and Copenhagen Burnout Inventory (CBI) for burnout measurement were used. Results Medical residents’ perceptions about their educational environment are rather negative. Their job-related stress ranged between moderate and high levels, while burnout ranged in medium levels. A significant positive association was observed between total CBI and its subscales and stress. Positive evaluation of the clinical learning environment was inversely related with burnout levels. Job stress was correlated independently and positively with higher total burnout levels and its’ three dimensions. Work-related burnout was independently and negatively related with social support.