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Toplam kayıt 55, listelenen: 21-30
The Carboxylated Multi-walled Carbon Nanotubes/l-Asparaginase Doped Calcium-Alginate Beads: Structural and Biocatalytic Characterization
(Springer, 2020)
The calcium-alginate/multi-walled carbon nanotube hybrid beads (Ca-ALG/MWCNT-COOH) as a novel kind of matrix were fabricated and characterized in detailed. l-Asparaginase (l-ASNase), which is important chemotherapeutic ...
Validated electrochemical immunosensor for ultra-sensitive procalcitonin detection: Carbon electrode modified with gold nanoparticles functionalized sulfur doped MXene as sensor platform and carboxylated graphitic carbon nitride as signal amplification
(Elsevier, 2020)
Septicemia, also known as sepsis, refers to a systemic inflammatory response syndrome and becomes thedominant reason of mortality for seriously diseases. Procalcitonin (PCT), the peptide precursor of the hormones,is a key ...
Performance & emission analysis of HHO enriched dual-fuelled diesel engine with artificial neural network prediction approaches
(Elsevier, 2020)
Most of the studies on conventional fuel types that can be used in internal combustion engines have been made in order to improve performance values. Nowadays environmental problems have shown that emission values are more ...
A dynamic model of air-breathing polymer electrolyte fuel cell (PEFC): A parametric study
(Elsevier, 2021)
A dynamic model for an air-breathing PEFC has been built to investigate the transient response of the fuel cell to load changes. The sensitivities of the dynamic response, as well as the steady state performance, to: the ...
Fluorene/fluorenone carboxamide derivatives as selective light-up fluorophores for c-myc G-quadruplex
(Elsevier, 2021)
The development of fluorescent dyes capable of selective recognition of G-quadruplexes is essential for studying its localization and biological functions. However, considering the G-quadruplex topologies may vary ...
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)
The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ...
A flexible perturb & observe MPPT method to prevent surplus energy for grid-failure conditions of fuel cells
(Elsevier, 2021)
Energy management is a critical issue for the economical and optimum operation of grid integrated renewable energy systems. In conventional grid integrated systems, the control methods are operated according to the design ...
An experimental investigation on hydroxy (HHO) enriched ammonia as alternative fuel in gas turbine
(Elsevier, 2021)
Today, the important challenges with the utilization of hydrogen in power-producing applications (internal combustion engines and fuel cells) are its delivery and storage and these create a big hesitation regarding the ...
Characterization of thermoluminescence kinetic parameters of beta irradiated B doped Ca5(PO4)3OH powder obtained from eggshell
(Elsevier, 2021)
In this study, we have synthesized B doped Ca5(PO4)3OH (HAP) by a sonication chemical method. The thermoluminescence (TL) properties of the family of synthesized samples (B doped Ca5(PO4)3OH (HAP) were investigated using ...
Experimental and Numerical Investigation of 3D Dam-Break Wave Propagation in an Enclosed Domain with Dry and Wet Bottom
(MDPI, 2021)
Dam-break flood waves represent a severe threat to people and properties located in downstream regions. Although dam failure has been among the main subjects investigated in academia, little effort has been made toward ...