MODELS OF RESOURCES ALLOCATION WITHIN THE SUSTAINABLE AGRICULTURAL HOLDINGS

The agricultural holdings generate a very strong impact on the environment andthey also have numerous implications for the economic and social life of rural areas. Theimprovements of the agricultural holdings’ economic, ecological and social effects are themain directions which can contribute to initiating or intensifying their sustainability. Thispaper highlights some possibilities to optimize the use of agricultural resources allocated to asustainable development, with a special attention for the elements of the natural capital. Thepresented models can substantiate the agro-technical decisions within the framework of eco-efficiency actions aimed to achieve sustainability at the farming microeconomic level.agricultural holdings, natural resources, allocation models, sustainable development

BEHAVIOR ASSESSMENT OF NEWLY GERMOPLASM SOURCES OF CULTURE GROWING IN VITICULTURAL CENTER BANU MARACINE

Extension grape-vine culture, namely the introduction of a certain area of new varieties requires environmentalassessment of suitability of the space allocated for this purpose.Such factors may reveal optimal and restrictive, you can print a specific direction for the center of wine production canbe investigated or choose those varieties which are best adapted to existing environmental conditions.Improving the national range of varieties of table grapes, varieties created by the introduction in recent decades hasenabled the completion and diversification, for each area of favorability and even tolerated areas. Thus, the polygonExperimental Station vineyard in Teaching, University of Craiova, framed in terms of administrative center of thevineyard Banu Maracine was created an experimental device.For this purpose the Banu Maracine EDS study was initiated and technological agrobiological two new varietiesrecently introduced collection ampelography: Argessis siAuriu of Stefănesti. The study seeks to answer how theenvironmental adaptation of Argessis variety, variety created in the Arges Stefănesti for conditions in Olteniaecoclimatice wine during 2007-2009, compared with the variety Victoria

Diagnosis and management of pericardial effusion

Pericardial effusion is a common pathology in clinical practice. The etiology of pericardial effusion is diverse, from infectious diseases, malignancies, autoimmune diseases, chronic renal failure, to drug-related or after an invasive cardiac intervention. Clinical presentation of pericardial effusion is variable, depending on the volume of the fluid and the rate of accumulation. Clinical manifestations are dramatic if the pericardial fluid accumulates rapidly. Classical symptoms in pericardial effusion include pleuritic chest pain associated with dyspnea. In case of cardiac tamponade, orthopnea, jugular venous distension, pulsus paradoxus, hypotension, and shock appear. Transthoracic echocardiography is the gold standard investigation for the diagnosis of pericardial effusions. The echocardiographic signs of cardiac tamponade are represented by the collapse of the right atrium and right ventricle, respiratory alteration of mitral and tricuspid flow, and changes of the inferior vena cava. Management of pericardial effusion is guided by several factors, including hemodynamic impact and etiology. Pericardiocentesis guided by echocardiography is a life-saving procedure in cases of large pericardial effusions and cardiac tamponade. This is a review of the diagnosis and treatment of pericardial effusion

Intestinal microbiota – a possible contributor to cardiovascular diseases?

The intestinal microbiota represents an interesting and emergent field of research, with already known implications in metabolic and immunological functions. Recently, there is increasing evidence that specific gut microbial populations are associated with cardiovascular diseases. Numerous completed and ongoing studies aim to evaluate the potential of intestinal microbiota assessment to improve the prevention, diagnosis, and therapeutic arsenal of cardiovascular diseases, considering dysbiosis as a cardiovascular risk factor. There is strong evidence for a correlation between intestinal flora imbalance and metabolic changes secondary to bacterial metabolites. In this minireview, we discuss recent data about the connections between intestinal microbiota and cardiovascular disease

Artificial intelligence and liver transplantation; literature review

Liver transplantation is the last life-saving solution for patients with end stage liver disease. The discrepancy between waiting list and available organs has led to the appearance of extended donation criteria and the development of several scores (Child-Pugh score, MELD score, DRI score, SOFT score), in order to find the most suitable donor-recipient match. But none of these scores can predict survival after transplantation. Artificial Intelligence (AI) has recently been shown as an excellent tool for the study of the liver and comes in this aid with its various methods (random forest, artificial neural networks, decision tree, Bayesian networks, and support vector machine). Materials and Methods. By reviewing the literature (mostly retrospective multicenter studies), we aimed to establish if the AI is a proper or even a more accurate method of predicting posttransplant survival, in comparison with the existing linear statistical models. Results. Machine learning showed better results than several current scoring systems that use either isolated donor/recipient scores or combined donor/recipient factors. The advantages of this model are its capacity for analyzing both linear and nonlinear relationships between features and outcomes, its robustness of overfitting by design, and built-in insights into feature importance aiding model explainability. Nevertheless, machine learning has its limitations because it requires large amounts of data, which can be difficult to obtain, it also requires high levels of technical skill, can be difficult to engineer and it’s expensive. Conclusion. AI may have significant potential in aiding clinical decision-making during liver transplantation, including donor-recipient matching

Hypercholesterolemia, as a Predictor Factor of Severe Acute Pancreatitis

Dyslipidemia constitutes a well-known factor that can lead to acute pancreatitis. Hypertrigliceridemia and hypercholesterolemia are part of dyslipidemia. In a prospecitve study, we analyzed the role of hypercholesterolemia in triggering episodes of acute pancreatitis and the capacity of cholesterol blood level to predict the severity and the evolution of acute pancreatitis. In our prospective study, a preexistent cholesterol blood level above 240 mg/dl proved to be a trigger for pancreatitis and an increasing cholesterol level in evolution predicts a pancreatitis with organ failure (moderately-severe or severe)