In the context of growing concerns regarding the deterioration of the environment and the increase in social inequalities, the concept of sustainability emerged as a response of companies, in order to contribute to community goodwill. The drivers and obstacles for the businesses engaging in sustainable policies have been explored at large by scientific literature. However, research gaps were observed, namely regarding SMEs, that tend to have a less formal and more fragmented approach to sustainability. The goal of our study is to determine the main barriers and facilitators for sustainability that Romanian SMEs face, and the connections between them and with the firms’ characteristics. Our study identifies the main barriers and facilitators for adopting sustainable practices in SMEs located in Romania, based on a study on a panel of 71 firms. The association rule method of data mining and quantitative statistic methods were used to explore barrier–facilitator relationships and how they vary depending on the firms’ or managers’ characteristics. The results show a wide range of drivers and obstacles for implementing sustainability in SMEs, while identifying connections between different barriers and facilitators and correlations with the firms’ characteristics. Our findings contribute to a better understanding of factors that impact sustainable behavior in SMEs and identify further aspects to be explored.

The European Entrepreneurship Competence (EntreComp) framework has been proposed by the European Commission in order to build consensus around a common understanding of entrepreneurship competence (knowledge, skills, and attitude). This study reports a bibliometric review of the research to date, addressing the EntreComp framework, based on documents published during the period from 2016 to June 2022. The research dataset was collected from Web of Science Core Collection (WoS) and included 37 articles. The bibliometric analysis includes citation, cooccurence and network analysis to represent the between countries and interorganizational collaboration, to identify relationships between documents topics. Along with the bibliometric analysis, a detailed description of characteristics for each article (study design and objectives, instruments, research findings, etc.) was also presented. Overall, this study provides insights regarding research addressing EntreComp framework, that could guide future research directions of practitioners/policy makers/researchers/etc. in the entrepreneurial competencies field and other interconnected domains.

Background: Inflammatory markers association with many diseases is the subject of many articles and reviews. This study presents a comprehensive bibliometric review and visualization analysis of inflammatory biomarkers (IB) in the context of febrile seizure (FS) patients. Methods: The study focused on IB in FS using (1) bibliometric analysis specific indicators and maps in order to analyze and present the network of authors, journals, universities, and countries, and (2) automated literature screening and unsupervised clustering approach for filtering and topic cluster identification. Results: We conducted a literature mining search on FS research, specifically IB in the context of FS, using the automated tools VOSviewer and Bibliometrix. Indices of the inflammatory response (in the context of febrile seizures) identified by the literature mining are (pro/anti-inflammatory) cytokines, such as interleukin IL-1β, IL-6, IL-8, I-10, IL-22, tumor necrosis factor (TNF-α), neutrophil-to-lymphocyte ratio (NLR), mean platelet volume (MPV), platelet count (PLT), and red blood cell distribution width (RDW). The resulted bibliometric maps and topic clusters offer a comprehensive overview, the status and leading trends on existing research of inflammatory biomarkers in FS. Conclusion: The analysis using bibliometrics and review with graphical presentations can be useful in investigating and (better) understanding the relationship between FS and IB.

Current research shows that SMEs’ social and environmental actions are fragmented and informal, and few have formal policies and intentions. At the same time, many SMEs are engaged with environmental policies, often not knowing it. Concurrently, there is a gap between the pro-environmental attitudes of the SMEs managers, who are often seen as the main drivers for the firm’s behavior, and the policies implemented in reality in their firms. To this end, our research’s objective is to explore pro-environmental behavior, both at the individual and firm level, to identify connections between these levels and measures but also with firm’s and managers’ demographics, based on a study of Romanian SMEs. The descriptive analysis and factor analysis including tetrachoric correlation methods were used to explore these behaviors and the associations between them. The results confirm the research’s hypothesis and show that there are positive connections between the “green” behaviors at the individual level and in the SME context. Moreover, comparative analysis provided evidence of differences in the adoption of environmental practices, which were based on the firm’s demographics and manager’s characteristics. Simultaneously, five typologies of pro-environmental behavior in SMEs were identified and described, depending on the additional investment necessary and allocated resources, on the changes in organizational structure, and on the manager’s personal involvement. These findings contribute to a better understanding of the environmental improvement policies in SMEs and may help policy-makers tailor interventions and SMEs managers learn from good practices of their peers.

Neonatal brain injury or neonatal encephalopathy (NE) is a significant morbidity and mortality factor in preterm and full-term newborns. NE has an incidence in the range of 2.5 to 3.5 per 1000 live births carrying a considerable burden for neurological outcomes such as epilepsy, cerebral palsy, cognitive impairments, and hydrocephaly. Many scoring systems based on different risk factor combinations in regression models have been proposed to predict abnormal outcomes. Birthweight, gestational age, Apgar scores, pH, ultrasound and MRI biomarkers, seizures onset, EEG pattern, and seizure duration were the most referred predictors in the literature. Our study proposes a decision-tree approach based on clinical risk factors for abnormal outcomes in newborns with the neurological syndrome to assist in neonatal encephalopathy prognosis as a complementary tool to the acknowledged scoring systems. We retrospectively studied 188 newborns with associated encephalopathy and seizures in the perinatal period. Etiology and abnormal outcomes were assessed through correlations with the risk factors. We computed mean, median, odds ratios values for birth weight, gestational age, 1-min Apgar Score, 5-min Apgar score, seizures onset, and seizures duration monitoring, applying standard statistical methods first. Subsequently, CART (classification and regression trees) and cluster analysis were employed, further adjusting the medians. Out of 188 cases, 84 were associated to abnormal outcomes. The hierarchy on etiology frequencies was dominated by cerebrovascular impairments, metabolic anomalies, and infections. Both preterms and full-terms at risk were bundled in specific categories defined as high-risk 75–100%, intermediate risk 52.9%, and low risk 0–25% after CART algorithm implementation. Cluster analysis illustrated the median values, profiling at a glance the preterm model in high-risk groups and a full-term model in the inter-mediate-risk category. Our study illustrates that, in addition to standard statistics methodologies, decision-tree approaches could provide a first-step tool for the prognosis of the abnormal outcome in newborns with encephalopathy.

Stress hyperglycemia and hyperlactatemia are commonly referred to as markers of stress severity and poor outcome in children with severe acute illness or febrile seizures. Our prospective study aimed to explore the risk factors for stress hyperglycemia and the predictive value of stress hyperglycemia for febrile seizure recurrence. We evaluated as risk factors for blood glucose level, serum lactate, acid–base status, and the clinical parameters relevant to the severity of the infectious context or to febrile seizure event: fever degree, fever duration, seizure type and aspect, seizure duration, and recurrence. Among 166 febrile seizures events in 128 children, the prevalence of stress hyperglycemia (blood glucose >140 mg/dl) was 16.9%. The comparison of the stress versus non-stress hyperglycemia groups revealed lower pH (median (interquartile range): 7.46 (7.37, 7.53) vs. 7.48 (7.42, 7.53), p = 0.049), higher lactate levels (30.50 mg/dl (15, 36) vs. 19.50 mg/dl (15, 27), p = 0.000), slightly lower HCO₃ (20.15 (20.20, 21.45) vs. 21.35 (20, 22.40), p = 0.020) in the stress hyperglycemia group. Multiple logistic regression analysis showed that prolonged febrile seizures (>15 min), recurrent febrile seizure (>1 seizure), focal seizure type, body temperature ≥39.5 °C and higher lactate values were significantly associated with stress hyperglycemia. These findings suggest a particular acute stress reaction in febrile seizures, with stress hyperglycemia playing an important role, particularly in patients with a recurrent seizure pattern. A more complex future approach linking pathogenic mechanisms and genetic traits would be advised and could provide further clues regarding recurrence pattern and individualized treatment.