635 research outputs found
An old problem resurfaces nonlocally: Gamow’s liquid drops inspire today’s research and applications
No full textDistal renal tubular acidosis: ERKNet/ESPN clinical practice points
No full textTrepiccione, F., Walsh, S.B., Ariceta, G., Boyer, O., Emma, F., Camilla, R., Ferraro, P.M., Haffner, D., Konrad, M., Levtchenko, E., Lopez-Garcia, S.C., Santos, F., Stabouli, S., Szczepanska, M., Tasic, V., Topaloglu, R., Vargas-Poussou, R., Wlodkowski, T., Bockenhauer, D
Neuroendocrine immune system in familial Mediterranean fever
No full textTopaloglu R, Bilginer Y, Alikasifoglu A, Ozaltin F, Besbas N, Ozen S, Bakkaloglu A. Neuroendocrine immune system in familial Mediterranean fever. Turk J Pediatr 2010; 52: 588-593
On bounds for network revenue management
No full textThe Network Revenue Management problem can be formulated as a stochastic dynamic programming problem (DP or the\optimal" solution V *) whose exact solution is computationally intractable. Consequently, a number of heuristics have been proposed in the literature, the most popular of which are the deterministic linear programming (DLP) model, and a simulation based method, the randomized linear programming (RLP) model. Both methods give upper bounds on the optimal solution value (DLP and PHLP respectively). These bounds are used to provide control values that can be used in practice to make accept/deny decisions for booking requests. Recently Adelman [1] and Topaloglu [18] have proposed alternate upper bounds, the affine relaxation (AR) bound and the Lagrangian relaxation (LR) bound respectively, and showed that their bounds are tighter than the DLP bound. Tight bounds are of great interest as it appears from empirical studies and practical experience that models that give tighter bounds also lead to better controls (better in the sense that they lead to more revenue). In this paper we give tightened versions of three bounds, calling themsAR (strong Affine Relaxation), sLR (strong Lagrangian Relaxation) and sPHLP (strong Perfect Hindsight LP), and show relations between them. Speciffically, we show that the sPHLP bound is tighter than sLR bound and sAR bound is tighter than the LR bound. The techniques for deriving the sLR and sPHLP bounds can potentially be applied to other instances of weakly-coupled dynamic programming.revenue management, bid-prices, relaxations, bounds
Hereditary C1q deficiency: a new family with C1qA deficiency
No full textSun-Tan C, Turul-Ozgur T, Kilinc G, Topaloglu R, Gokoz O, Ersoy-Evans S, Sanal O. Hereditary C1q deficiency: a new family with C1qA deficiency. Turk J Pediatr 2010; 52: 184-186
Blood filters in children with COVID-19 and acute kidney injury: A review
No full textCOVID-19 has challenged the global healthcare system through rapid proliferation and lack of existing treatment resulting in over 180 million cases and 3.8 million deaths since December 2019. Although pediatric patients only comprise 1%–2% of diagnosed cases, their incidence of acute kidney injury ranges from 8.2% to 18.2% compared to 49% in adults. Severe infection, initiated by dysregulated host response, can lead to multiorgan failure. In this review, we focus on the use of various blood filters approved for use in pediatric kidney replacement therapy to mitigate adverse effects of severe illness. Therapeutic effects of these blood filters range from cytokine removal (CytoSorb, HA330, HCO/MCO), endotoxin removal (Toraymyxin, CPFA), both cytokine and endotoxin removal (oXiris), and nonspecific removal of proteins (PMMA) that have already been established and can be used to mitigate the various effects of the cytokine storm syndrome in COVID-19
Preparation of complexes formed in the reaction between dicobaltoctacarbonyl and tetraalkyldiphosphine disulfides, R2P(S)P(S)R2 (R = Me, Et, n-Pr, n-Bu)
No full textCo2(CO)8 and R2P(S)P(S)R2 (R = Me, Et, n-Pr, n-Bu) react to form the three types of cluster complexes [Co2(µ-CO)(µ4-S)(CO)4]2, (1), [Co4(CO)9(µ3-S)(µ-PR2)2] (2A)-(2D), [(2A), R = Me; (2B), R = Et; (2C), R = n-Pr; (2D), R = n-Bu] and [Co3(CO)7(µ3-S)(SPR2)] (3A)-(3D), [(3A), R = Me; (3B), R = Et; (3C), R = n-Pr; (3D), R = n-Bu]. The structure of (2A) and the disubstituted triphenylphosphine derivative of (3A) were reported previously. The complexes have been characterized by elemental analyses, FT-IR and 31P-[1H] NMR spectroscopy and mass spectrometry.We thank TUBITAK and the Research Foundation of Ege University for funds and -
Antiprotozoal Linear Furanosesterterpenoids from the Marine Sponge Ircinia oros
No full textChemical investigation of the marine sponge Ircinia oros yielded four linear furanosesterterpenoids, including the known metabolites ircinin-1 (1) and ircinin-2 (2) and two new compounds, ircinialactam E (3) and ircinialactam F (4). Their chemical structures were elucidated by using a combination of [α]D, NMR, HRMS, and FT-IR spectroscopy. The absolute configuration of C-18 in compounds 1–3 was identified as R by electronic circular dichroism (ECD) spectroscopy coupled with time-dependent density functional theory calculations. Compounds 1–4 showed moderate leishmanicidal, trypanocidal, and antiplasmodial activities (IC50 values 28–130 μM). This is the second report of rare glycinyl lactam derivatives 3 and 4 from the genus Ircinia
- …
