The Suitability and the Bio-chemical Characteristics of Soils from the Northwest Region of Development from Romania, for Blueberry Crop

We conducted several bio-chemical analyses on soil samples collected from eight blueberry plantations from Northwest Region of Development, using such as Kjeldahl method for total N, Perucci, Krawczyński, Hoffman and Teicher methodology for determine soil enzyme. The bio-chemical analyses conducted provide a better qualitative characterization of soils, providing significant information regarding their fertility degree and favourability for blueberries. For instance, the higher amount of total organic carbon found in four of the eight studied plantation, can be correlated with the same higher amount of enzyme present in soil which have an influence on them, xanthine oxidase and peroxidase activity. Taking into account the requirements needed for a blueberry plantation, we demonstrate that organic soils have also had the highest amount of bio-chemical compounds, such as cambisoil, met in Galații Bistriței, where were also found the highest amounts of different forms of nitrogen (1.755 g/kg total N; 0.0189 g/kg NH4 + and 0.0231g/kg NO3 in Galații Bistriței, comparing to 1.344 g/kg of total nitrogen; 0.0126 g/kg NH4+ and 0.0119 g/kg NO3- in Ulmeni), different forms of carbon and the enzymes that influence this compounds in soil, xanthine oxidase activity, peroxidase activity and nitrate reductase activity

Case report: Tackling the complexities of an extremely premature newborn with intrauterine growth restriction and congenital metabolic disorders through a multidisciplinary approach

Background and objectivesThe premature birth of a newborn can present a complex challenge for healthcare providers, particularly in cases of extreme prematurity combined with intrauterine growth restriction and multiple metabolic deficiencies. In this report, we aim to shed light on the difficulties and considerations involved in the management of such a case. In addition, our study is aimed to raise awareness of the importance of a multidisciplinary team in managing an extreme premature case with multiple comorbidities.Case presentation and main findingsWe present the case of a 28-week premature female newborn with very low birth weight (660 g, percentile <10%) and intrauterine growth restriction. She was born through emergency cesarean delivery due to maternal Hemolysis, Elevated Liver enzymes, and Low Platelet count (HELLP) syndrome and had a high-risk pregnancy (spontaneous twin pregnancy, with one fetus stopping development at 16 weeks and maternal hypertension). In the first hours of life, she presented with persistent hypoglycemia requiring progressive glucose supplementation up to 16 g/kg/day to maintain normal blood glucose levels. The baby then showed favorable progress. However, from days 24 to 25, hypoglycemia recurred and did not respond to glucose boluses or supplementation in both intravenous and oral feeds, leading to the suspicion of a congenital metabolic disorder. Endocrine and metabolic screenings led to suspicion of primary carnitine deficiency and a deficiency in hepatic form of carnitine-palmitoyltransferase type I (CPT1) on the second screening.Conclusion and clinical implicationsThe study highlights rare metabolic anomalies that can be due to both organ and system immaturity and delayed enteral feeding and excessive use of antibiotics. The clinical implications of this study emphasize the need for careful monitoring and comprehensive care of premature infants to prevent and manage potential metabolic abnormalities by neonatal metabolic screening

Self-Assessment of Computer Literacy Competence Among Medical Undergraduates

In Romanian high schools, Information and Communications Technology is a required subject. The field of study in high school will determine the curriculum, which might be theoretical (science or humanities), technical, vocational, or services and economics. Our goal was to examine how first-year students perceived their pre-university education-based knowledge and abilities in computer literacy. We created an original, anonymous, online questionnaire regarding the students' perception of general computer use skills, Internet browsing, online information search skills, digital communication skills, and the use of programs from the Microsoft Office package. Eligible participants were first-year students (academic year 2022-2023) in the Romanian section at the Faculty of Medicine, Iuliu Haţieganu University of Medicine and Pharmacy Cluj-Napoca. All eligible participants were invited to self-evaluate their computer literacy skills. Two hundred and twenty-one students participated. About 88.69% of respondents declared that they have good skills in general computer use, but only 57.47% understand basic computer terminology at an . Analyzing the statements about skills at the beginner-up-to-expert level: 95.93% have knowledge about using the Internet, 98.19% can use the keyboard well, 97.29% know how to use an e-mail, and 87.33% consider themselves suitable for computer-assisted training. The participants self-assessed their proficiency in the Microsoft Office suite, with the majority (97.74%) considering themselves beginner-up-to-expert level users in Word or PowerPoint. However, their proficiency in Excel was slightly lower, with only 89.59% claiming beginner-up-to-expert level. About half of the respondents understood basic computer terminology, even though most respondents said they had general computer skills. While most respondents have average-expert-level knowledge of PowerPoint, only about half are proficient in Excel

Spatial Analysis GIS Model for Identifying the Risk Induced by Landslides. A Case Study: A.T.U. of Şieu

The risk induced by landslides on residential infrastructure, transport infrastructure and agricultural land causes problems of local management that need to be solved by reducing negative effects and decrease the frequency of their occurrence. This study followed the development and implementation of a model for identifying the risk induced by landslides through the analysis of spatial occurrence probability for landslides at the administrative territorial unit of șieu, following the semi-quantitative method governed in Romania by G.D. no 447/2003 and then through the exposure of housing infrastructure at landslides was possible to frame landslides on risk classes. The entire approach was based on GIS spatial analysis, creating a specific detailed database of causing and triggering factors of landslides and not at least, a database for risk receptors, in this study, represented by the constructions of villages associated with the studied administrative territorial units. The final result of the model highlights the framing of constructions on qualitative risk classes at landslides, revealing the elements of infrastructure that need post and pre event measures of protection