ABSTRACT The presence of persistent left superior vena cava to the left atrium connection without an innominate vein may give rise to technical challenges during intracardiac repair. In this report, the end-to-side anastomosis technique of the persistent left superior vena cava to the right superior vena cava is discussed in a patient with tetralogy of Fallot associated with persistent left superior vena cava draining directly into the left atrium. A successful end-to-side anastomosis between the persistent left superior vena cava and the right superior vena cava was performed and short-term anastomosis patency was documented via angiography. repair report endtoside end side shortterm short term angiography

ABSTRACT Lathyrus is an economically important genus, with different parts of some species used as foodstuff or animal feed. In this study, phytochemical compositions and bioactivities of Lathyrus brachypterus var. brachypterus, L. brachypterus var. haussknechtii, L. nivalis subsp. sahinii and L. tefennicus taxa which are endemic to Türkiye were investigated. Total phenolic and flavonoid contents (TPC, TFC) of methanolic extracts were detected. Then, phytochemical compositions, antioxidant features (radical scavenging (DPPH: 1,1-diphenyl-2-picrylhydrazyl, ABTS: 2,2′-azino-bis(3 ethylbenzothiazoline) 6 sulfonic acid), reducing power (FRAP:Ferric ion reducing antioxidant power, CUPRAC:Cupric ion reducing antioxidant capacity), metal chelating activity (MCA), and the phosphomolybdenum assays (PDA)) and enzyme inhibitory properties of the extracts were also determined. The highest values were found at L. brachypterus var. brachypterus for TPC, L. brachypterus var. haussknechtii for TFC. The highest antioxidant properties were seen in extracts of L. brachypterus var. brachypterus in DPPH, ABTS, FRAP, CUPRAC and PDA assays, while in extract of L. nivalis subsp. sahinii in MCA. The highest enzyme inhibitory activity was found in extract of L. brachypterus var. brachypterus in tyrosinase and glucosidase assays, while in extracts of L. nivalis subsp. sahinii in AChE (acetylcholinesterase), BChE (butyrylcholinesterase) and amylase. Finally, a taxonomic evaluation was made by considering the phytochemicals.

RESUMO Objetivo: Níveis da enzima ubiquitina C-terminal hidrolase-L1 (UCH-L1) foram investigados em pacientes com epilepsia, crise epiléptica, período de remissão e indivíduos saudáveis. Método: Foram avaliados três grupos principais, incluindo crise epiléptica, epilepsia no período não convulsivo e voluntários saudáveis. Pacientes com convulsão no departamento de emergência ou trazidos por confusão pós-ictal foram incluídos no grupo de crise epiléptica. Os pacientes que tiveram crise epiléptica ou foram ao ambulatório de Neurologia para acompanhamento foram incluídos no grupo não convulsivo (período de remissão). Resultados: Os níveis da enzima UCH-L1 de 160 pacientes com epilepsia (80 pacientes com crise epiléptica e 80 pacientes com epilepsia no período não convulsivo) e 100 voluntários saudáveis foram comparados. Enquanto os níveis da enzima UCH-L1 foram 8,30 (IQR=6,57‒11,40) ng/mL em todos os pacientes com epilepsia, os níveis detectados foram de 3,90 (IQR=3,31‒7,22) ng/mL em voluntários saudáveis e aumentaram significativamente na epilepsia (p<0,001). No entanto, ao passo que os níveis de UCH-L1 foram 8,50 (IQR=6,93‒11,16) ng/mL nos pacientes com crise epiléptica, foram 8,10 (IQR=6,22‒11,93) ng/mL no período não convulsivo, e nenhuma diferença significativa foi detectada (p=0,6123). Quando o valor de corte de UCH-L1 foi considerado 4,34 mg/mL com base na análise da curva ROC, sensibilidade e especificidade foram detectadas como 93,75 e 66,00%, respectivamente (AUG=0,801; p<0,0001; IC95% 0,747‒0,848) para os pacientes com epilepsia. Conclusão: Embora os níveis de UCH-L1 tenham aumentado significativamente nos pacientes com epilepsia em relação aos indivíduos saudáveis, não foi observada diferença entre crise epiléptica e períodos não convulsivos.

ABSTRACT Objective: Ubiquitin C-terminal Hydrolase-L1 (UCH-L1) enzyme levels were investigated in patients with epilepsy, epileptic seizure, remission period, and healthy individuals. Methods: Three main groups were evaluated, including epileptic seizure, patients with epilepsy in the non-seizure period, and healthy volunteers. The patients having a seizure in the Emergency department or brought by a postictal confusion were included in the epileptic attack group. The patients having a seizure attack or presenting to the Neurology outpatient department for follow up were included in the non-seizure (remission period) group. Results: The UCH-L1 enzyme levels of 160 patients with epilepsy (80 patients with epileptic attack and 80 patients with epilepsy in the non-seizure period) and 100 healthy volunteers were compared. Whereas the UCH-L1 enzyme levels were 8.30 (IQR=6.57‒11.40) ng/mL in all patients with epilepsy, they were detected as 3.90 (IQR=3.31‒7.22) ng/mL in healthy volunteers, and significantly increased in numbers for those with epilepsy (p<0.001). However, whereas the UCH-L1 levels were 8.50 (IQR=6.93‒11.16) ng/mL in the patients with epileptic seizures, they were 8.10 (IQR=6.22‒11.93) ng/mL in the non-seizure period, and no significant difference was detected (p=0.6123). When the UCH-L1 cut-off value was taken as 4.34 mg/mL in Receiver Operating Characteristic (ROC) Curve analysis, the sensitivity and specificity detected were 93.75 and 66.00%, respectively (AUG=0.801; p<0.0001; 95%CI 0.747‒0.848) for patients with epilepsy. Conclusion: Even though UCH-L1 levels significantly increased more in patients with epilepsy than in healthy individuals, there was no difference between epileptic seizure and non-seizure periods.

Abstract In this study, heated reflux extraction method has been used to identify the phenolic compounds from C. humilis var. argentea leaflets, rachis and fruits. Extractions were performed in both ultrapure water and 80% methanol solvents. The efficiency of procedures was determined in terms of the quality and quantity of phenolic acids and flavonoids identified. Chamaerops extracts have been characterized by high concentrations of phenolic compounds, which play a crucial role in protection against various diseases. LC-MS/MS was used to determine the chemical profile of various extracts obtained from Chamaerops. The results showed that the major components in leaflets and fruits extracts were quinic, malic and chlorogenic acids. In addition, nine minor acidic components were identified. On the other hand, rutin and hesperidin were found to be the major flavonoids. The methanol extract was shown as being the most efficient to identify phenolic compounds in C. humilis.

OBJECTIVES: The red blood cell distribution width has been associated with an increased risk of cardiovascular events. In the present study, we assessed the relationship between red cell distribution width values and cardiac troponin I levels in patients admitted with non-ST-elevation acute coronary syndrome. METHODS: We analyzed blood parameters in 251 adult patients who were consecutively admitted to the intensive coronary care unit with non-ST-elevation acute coronary syndrome over a 1-year period. For all patients, a baseline blood sample was collected for routine hematological testing. Cardiac troponin I was measured at baseline and after 6 h. The patients were diagnosed with non-ST-elevation myocardial infarction or unstable angina based on the elevation of cardiac troponin I levels. RESULTS: The red cell distribution width was higher in the group with non-ST-elevation myocardial infarction compared with the patient group with unstable angina (14.6±1.0 vs 13.06±1.7, respectively; p = 0.006). Coronary thrombus was detected more frequently in the group of patients with non-ST-elevation myocardial infarction than in the patients with unstable angina (72% vs 51%, respectively; p = 0.007). Using receiver operating characteristic curve analysis for the prediction of non-ST-elevation myocardial infarction based on the red cell distribution width, the area under the curve was 0.649 (95% confidence interval: 0.546-0.753; p = 0.006), suggesting a modest model for the prediction of non-ST-elevation myocardial infarction using the red cell distribution width. At a cut-off value of 14%, the sensitivity and specificity of the red cell distribution width were 73% and 59%, respectively. Additionally, the red cell distribution width was positively correlated with cardiac troponin I (r = 0.19; p = 0.006). CONCLUSION: A greater baseline red cell distribution width value was associated with myocardial injury and elevated cardiac troponin I levels in non-ST-elevation acute coronary syndrome. Therefore, the red cell distribution width could be considered for risk stratification of acute coronary syndrome patients admitted to emergency departments.

A densificação de redes geodésicas é uma necessidade presente desde o início das atividades de levantamentos. Para a obtenção de resultados adequados a modelagem de campos de velocidades da crosta deve ser efetivada. Redes Neurais Artificiais (RNAs) são amplamente utilizadas como aproximadores de funções em diversas aplicações em Geomática, incluindo a determinação campos de velocidade. Decidir o número de neurônios ocultos necessários à implementação de uma função arbitrária é um dos principais problemas de RNA que ainda merece destaque nas Ciências Geodésicas. Geralmente, o número de neurônios ocultos é decidido com base na experiência do usuário. Com estas considerações em mente, surgem métodos de determinação automática de arquiteturas de RNAs, como os Métodos de Poda. Neste artigo busca-se quantificar a importância de poda ou supressão de neurônios ocultos em uma arquitetura de RNA para determinar o campo de velocidades. Uma RNA com retro-propagação contendo 30 neurônios ocultos é treinada e testes são aplicados. O número de neurônios ocultos é reduzido de trinta até dois, dois a dois, visando-se encontrar a melhor arquitetura de predição. Também são utilizados alguns métodos existentes para a escolha do número de neurônios ocultos. Os resultados são avaliados em termos raiz do erro médio quadrático ao longo de uma área de estudo para otimizar o número de neurônios ocultos na estimativa de velocidades com base na densificação de pontos com a RNA.

There has been a need for geodetic network densification since the early days of traditional surveying. In order to densify geodetic networks in a way that will produce the most effective reference frame improvements, the crustal velocity field must be modelled. Artificial Neural Networks (ANNs) are widely used as function approximators in diverse fields of geoinformatics including velocity field determination. Deciding the number of hidden neurons required for the implementation of an arbitrary function is one of the major problems of ANN that still deserves further exploration. Generally, the number of hidden neurons is decided on the basis of experience. This paper attempts to quantify the significance of pruning away hidden neurons in ANN architecture for velocity field determination. An initial back propagation artificial neural network (BPANN) with 30 hidden neurons is educated by training data and resultant BPANN is applied on test and validation data. The number of hidden neurons is subsequently decreased, in pairs from 30 to 2, to achieve the best predicting model. These pruned BPANNs are retrained and applied on the test and validation data. Some existing methods for selecting the number of hidden neurons are also used. The results are evaluated in terms of the root mean square error (RMSE) over a study area for optimizing the number of hidden neurons in estimating densification point velocity by BPANN.