Electric vehicles (EVs) are currently popular, and their number is growing; therefore, they have an impact on the power system. In this paper, the impact of electric vehicles on a power line connected to photovoltaic (PV) power plants regarding the power losses and voltage level is presented. The study is performed for a power line located in Mureș County, Romania, to which two photovoltaic power plants are connected. Three supply options are available for the power line, which supplies 15 loads. The power demand of the loads is determined with the power meters installed at the load premises. Electric vehicles are also considered to be connected in different points along the power line at the buses with the lowest voltage level. The results give the power losses and voltage levels for the case of when the PV power plants and EVs are connected to the power line, compared with the case when the EVs are not connected to the power line. The power losses were 400% higher in the case where the EVs were connected when the power demand was higher, while the voltage level was 2% lower if the EVs were connected.

Background/Objectives: Artificial Nutrition and Hydration (ANH) at the end of life remains a clinically and ethically complex intervention. Although international guidelines exist, data regarding the awareness of them and their perceived applicability across different population groups remain limited. This study aimed to evaluate and compare perceptions and attitudes regarding ANH among healthcare professionals, medical students, and lay respondents. Methods: A cross-sectional, questionnaire-based comparative survey was conducted between July 2025 and March 2026, including 470 respondents (338 healthcare professionals, 46 medical students, and 86 lay respondents). The survey assessed perceptions of ANH, factors influencing decision-making, and familiarity with clinical guidelines and legislation. Results: General perceptions regarding ANH were broadly similar across groups. Significant differences were observed for the importance assigned to estimated life expectancy (p < 0.001) and family opinion (p = 0.017). Associations were identified between study group and opinions on clinical guidelines (χ²(6) = 16.366, p = 0.012) and legislation (χ²(6) = 14.712, p = 0.023), with lack of knowledge more frequent among lay respondents and students. Within healthcare professionals, physicians and nurses showed significantly different responses regarding guidelines (p < 0.001). Conclusions: In this cross-sectional survey, perceptions of ANH at the end of life were largely shared, but differed in relation to prognostic factors, family involvement, and awareness of guidelines and legislation, suggesting the presence of relevant knowledge gaps in end-of-life decision-making.

In this paper is presented an algorithm for the power management of a smart home with electric vehicle and photovoltaic panels. The case study is performed considering the power demand of the household appliances, the charging/discharging of the electric vehicle, and the power supplied by the photovoltaic panels. The photovoltaic panels have a small installed power and benefit from the support scheme from the government for these types of generation sources, so it is a prosumer. The simulation is performed for a day. Additionally, the cost of power supplied to the consumer is also analyzed.

Intensive care medicine represents one of the most challenging setting in modern healthcare, where specific mechanisms intertwine and form a dynamic biological model, where organ dysfunction can easily evolve to multi-organ dysfunction, continuously reshaping the patient’s clinical course. The critically ill patient represents a biological system resulted from interaction between maladaptive and adaptative mechanisms, therefore generates a large volume of data that can exceeds human cognitive capacity. Artificial intelligence can integrate multimodal physiological, laboratory, and clinical data into a dynamic representation of the patient’s biological trajectory. AI-tools and machine learning technologies have evolved to potential clinical support tools, with great perspectives for future implementation, but currently with limited use in clinical practice. This article is a narrative review of artificial intelligence in ICU, aiming to present current evidence and limitations.

The operation of the power systems is based on the power flow analysis, while the optimization is based on the optimal power flow analysis. The purpose of the study is to determine the generation cost and the power losses based on the optimal power f...