Background: Burnout is a major problem for physical and mental health of medical residents. The key for maintaining well-being and quality of care of residents is the assessing tool. The study evaluated the psychometric properties of the Arabic version of the Maslach Burnout Inventory Human Services Survey (MBI-HSS) among Tunisian medical residents by assessing its factor structure, construct validity, reliability, and gender invariance. Methods: A total of 552 residents, aged 27.01 ± 1.92, 219 males (39.7%) and 333 females (60.3%) completed the Arabic version of the A-MBI-MR. The exploratory (EFA) and confirmatory factor (CFA) analyses were performed to identify the factor structure, with assessments of internal consistency of the model, including gender measurement invariance. Results: The results indicate a high average variance extracted (AVE > 0.50) and factor loading of the scale, signifying robust construct validity and clearly suggesting that the items serve as essential indicators for assessing several dimensions of burnout. The reliability analysis demonstrates excellent and acceptable internal consistency across all areas of emotional exhaustion, personal accomplishment, and depersonalization (Cronbach’s α = 0.95, 0.98, and 0.871) respectively. The CFA confirmed the three-factor structure of the A-MBI-MR, with fit indices indicating an adequate model fit: CFI = 0.945, TLI = 0.938, GFI = 0.951, RMSEA = 0.074, RMSEA CI (0.066, 0.081), RMSEA p-value= 0.000, SRMR = 0.044. Results from the measurement invariance analysis of the MBI scale demonstrated robust invariance between male and female participants. Conclusions: The MBI-MR in Arabic for medical residents is reliable, valid, and effective for measuring burnout levels in Arabic-speaking regions.

Selecting team is one of the important issues in football. The role of a coach is selecting players that are formed subjectively without regard to various criteria. Her decision can impact team performance. Thus, this paper presents a new methodology to assess and rank football team based on multi-criteria decision making (MCDM). The aim is to select the best team for each football game by taking several criteria into account. The Analytic Hierarchy Process (AHP) method is used to determine the weightings for evaluation criteria among decision makers and Case-based reasoning systems to selecting the best team. We test the efficiency of the model using Paris Saint Germain champion’s league final.

(1) Background: Educational systems across the world experienced significant changes during 2020–2022, with potential implications for progress toward Sustainable Development Goal 4 (SDG 4: Quality Education), which aims to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all across European Union member states. Understanding how educational sustainability performance evolved during the pre-pandemic period (2017–2019) and the pandemic-affected period (2020–2022) is essential for developing effective educational policies. (2) Objective: This quantitative comparative study aimed to (i) assess and rank sustainable education developments across EU-27 countries in two periods, Period 1—the pre-pandemic period (2017–2019)—and Period 2—the pandemic-affected period (2020–2022); (ii) identify performance changes between these periods; and (iii) classify countries into performance groups to guide targeted interventions. (3) Methods: Using data from the Eurostat database, we evaluated six key SDG 4 indicators: low-achieving students in reading, mathematics, and science; participation in early childhood education; early school leavers; tertiary educational attainment; adult participation in learning; and adults with basic digital skills. The Multiobjective Optimization based on Ratio Analysis (MOORA) method was used to rank countries and assess sustainable education development. (4) Results: Sweden maintained the highest educational sustainability performance across both periods, while Romania and Bulgaria consistently ranked lowest. Nine countries improved their rankings during the pandemic-affected period, while others maintained stable positions or experienced declines in their rankings. Adult participation in learning showed the greatest variation among the indicators, with top performers, such as Sweden, scoring 0.445 compared to Romania’s 0.051 in Period 2. The proportion of early school leavers decreased from an EU average of 9.0% in Period 1 to 8.3% in Period 2, indicating a positive trend across the study periods. While differences were observed across countries and periods, these should not be interpreted as causally linked to the pandemic alone (5). Conclusions: The performance of educational sustainability varied across EU member states between the two periods, with some countries demonstrating remarkable resilience or improvement, while others declined. These findings underscore the need for targeted educational policies that address specific sustainability weaknesses in individual countries, particularly those in the warning and danger categories. Sweden’s consistent performance offers valuable lessons for educational sustainability, especially during and after major disruptions.

The evaluation of offensive performance among football forwards increasingly relies on multi-criteria decision-making (MCDM) models. However, the offensive criteria used in these models, understood as decision-making dimensions distinct from the indicators through which they are operationalised, remain rarely explicit, structured, and systematically validated in the literature. This study aimed to construct and validate a framework of offensive criteria intended to support transparent and comparable MCDM applications by examining its content validity among expert coaches. The methodological design involved three complementary stages: (1) a systematic review, conducted according to PRISMA guidelines, of studies applying MCDM methods in football and indexed in the Web of Science Core Collection; (2) a qualitative meta-synthesis designed to structure the identified decision-making dimensions into a parsimonious set of non-redundant offensive criteria; and (3) a single-round e-Delphi procedure involving 30 coaches holding a UEFA A or UEFA Pro licence, of whom 26 were retained for analysis after attention-check screening. The criteria were assessed using a seven-point Likert scale, with three instructional manipulation checks included to detect inattentive responses. The results showed a high level of inter-expert consensus for the eight retained criteria, with mean ratings ranging from 5.92 to 6.50 out of 7, coefficients of variation below 0.15, and Content Validity Ratio values ranging from 0.62 to 1.00, all exceeding the critical threshold. This framework provides a literature-based and expert-validated conceptual foundation that can be used as an entry point for MCDM applications applied to the evaluation of football forwards.