BACKGROUND AND PURPOSE HYPRFlow is a novel imaging strategy that provides fast, high-resolution contrast-enhanced time-resolved images and measurement of the velocity of the entire cerebrovascular system. Our hypothesis was that the images obtained with this strategy are of adequate diagnostic image quality to delineate the major components of AVMs. MATERIALS AND METHODS HYPRFlow and 3D TOF s...

Tramadol (TD) has been prescribed frequently in many countries for more than 40 years, but there is a risk of its misuse and trafficking. As result, drug analysis numerous legal socially relevant implications, making it an essential part modern analytical chemistry. Thus, the method detection TD phase I II metabolites human urine developed validated using rapid efficient approach combining liqu...

Aflatoxin B1 (AFB1) and its metabolite aflatoxin M1 (AFM1) are well-known carcinogens for humans and animals health. In this study, an ultra-high performance liquid chromatography linked with fluorescence detection (UPLC-FLD) method was optimized and validated. In addition, we investigated for the first time, the influence of curcumin on residue depletion of AFB1 and AFM1 in liver, kidney, and ...

BACKGROUND Erythropoietin (Epo) administration has been reported to have tumor-promoting effects in anemic cancer patients. We investigated the prognostic impact of endogenous Epo in patients with pancreatic ductal adenocarcinoma (PDAC). METHODOLOGY The clinico-pathological relevance of hemoglobin (Hb, n = 150), serum Epo (sEpo, n = 87) and tissue expression of Epo/Epo receptor (EpoR, n = 104...

objective: in this study, two conserved genes (m1 and np) of influenza virus were expressed in a bicistronic vector in order to develop a universal gene based vaccine. materials and methods: plasmids m1-pires2-egfp, pires2-np were constructed by cloning the pcr products of m1 and np genes which were amplified from the a/peurto rico/8/34 (h1n1) influenza virus strain into the plasmid expression...

It is an open problem in static resource bound analysis to connect high-level resource bounds with the actual execution time and memory usage of compiled machine code. This paper proposes to use machine learning to derive a cost model for a high-level source language that approximates the execution cost of compiled programs on a specific hardware platform. The proposed technique starts by fixin...