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Plasmonic metal nanoparticles (NPs), such as Ag, Au, Cu NPs, attracts a lot of interest due to their notable applications in biological, and chemical sensing. Researchers have studied on plasmonic metal NPs which have exceptional optical properties in a large spectral region. Metal NPs form a unique surface plasmon resonance (SPR) peak that is in the electromagnetic spectrum’s visible part. The peak of SPR firmly depends on the NP’s size, shape, dielectric constant, and medium that the particle is in. Light interacts with nanoparticles that are smaller than the wavelength of incident light in localized surface resonance. That leads Localised Surface Plasmon Resonance (LSPR) in which an oscillating local plasma around NP with a certain frequency form. LSPR detection is the most common method for wavelength shift measurement. Analyte absorption causes a change in the local dielectric constant and thus LSPR peak shifts. Biological molecules such as proteins and antibodies can sensitively be detected as they change the local dielectric environment. Therefore, Ag or Au metal NPs can be used as sensor by employing LSPR wavelength shift technique. Among the metal NPs, Ag has a relatively higher refractive index sensitivity. Since Ag NPs have a shaper LSPR peak, they generate more precise measurements. In our work, we have produced plasmonic Ag NPs with various sizes and spherical shapes by employing Pulsed Laser Deposition (PLD). We investigated the LSPR peaks of produced plasmonic Ag NPs by UV-Vis spectroscopy. Moreover, biosensor properties of plasmonic Ag NPs are investigated by binding Protein A molecules to surface of the NPs. That produced a LSPR wavelength shift of around 100 nm/RIU.

Dose calibrators are used to measure the amount of radioactive to be given to the patient. It is necessary to determine the correct dose and measure the amount of radioactive material with the least possible error. To minimize these potential errors, quality control (QA) tests should be carried out periodically according to the United States Nuclear Regulatory Authority (NRC). ATOM LAB 400 (serial number:11070208 ) and 500 (serial number: 15091215) dose calibrators which are actively used in our clinic were used. Our aim is to verify the accuracy of the dose calibrator which needs to be updated by using a recently calibrated dose calibrator. QA tests were performed on both dose calibrators. Test results of the currently certified dose calibrator and ATOM LAB 400 dose calibrator whose certificate will be updated were found to be compatible with each other.The tests performed on both dose calibrators remained with the error limits. Calibration certificate of the ATOM LAB 400 calibrator has been updated in accordance with NRC protocol.

Series are the sum of pattern of numbers or functions. One can produce series with different ways. This is a study of construction of series with differentiations of some functions.

The rate of water proton relaxation of protein solutions were studied in the presence and absence of the paramagnetic ions[ gadolinium (III), manganese (II), chromium (III), iron (III), nickel (II), copper (II), and cobalt (II)] in the previous studies. However, these studies were carried out rather at low frequencies. Therefore, studying of temperature dependence of relaxation rates for absence and presence of 2 % albumin in pure D 2 O by 400 MHz will be a novelty. In this study, T 1 and T 2 relaxation ratios of D 2 O and 0.1 H 2 O / 0.9D 2 O solutions were investigated with respect to temperature for pure and for constant albumin concentration(2%). The experiments were carried out by using Bruker Avance 400 MHz NMR. Inversion Recovery (180-τ-90) pulse step were used for T 1 , whereas Carr-Purcell-Meiboom-Gill pulse step were used for T 2 . The experiments were performed for temperature range of 20°C-40°C by using automatic temperature control unit. 1/T 1 and 1/T 2 decrease linearly with increasing temperature for pure D 2 O solutions. However, for 0.1H 2 O/0.9D 2 O solutions, the relaxation rates of T 1 increase with increasing temperature while T 2 decreases with increasing temperature. The decrease in both relaxation rates of the D 2 O solution with respect to the increased temperature suggests that relaxation is due to spin relaxation interaction. Increasing of relaxation rates with the increasing temperature, in the presence of albumin demonstrates the validity of the dipolar mechanism

In this study, we investigated the structural, electronic and magnetic properties of the tetragonal LiRh 2 Si 2 using the full-potential linearized augmented plane wave (FP-LAPW). The structural calculations were performed with four exchange and correlation potential (GGA- PBE, LDA-PW, GGA-WC and GGA-PBEsol), the electronic and magnetic properties were performed with GGA-PBE implemented in Wien2k code. We have obtained the cell dimensions, bulk modulus, and its pressure derivative. The calculated lattice parameters are in good agreement with experimental and previous theoretical results. We calculated cohesive energy as 4,95 eV/atom and LiRh2Si 2 has good stability. Electron density plot of LiRh 2 Si 2 shows strong covalent interactions between Si-Si and Rh-Si elements. We performed spin polarize calculation of Density of States (DOS). Electronic band chart that show LiRh 2 Si 2 has metallic feature for both spin up and spin down configurations. The spin up and spin down electronic band chart nearly symmetric so the compounds has nonmagnetic feature. We searched pressure effect on magnetic moment of LiRh 2 Si 2 . The magnetic moment of LiRh 2 Si 2 has been found 0.00075 ( ) and it decreased with increase of pressure.

It is known that atmosphere is a dynamical system that constantly changing and moving. It is a very difficult problem to completely determine and explain the change in the atmosphere. But the mathematical models can help us to understand and explain the dynamical processes in the atmosphere. Examination of the movements of the atmosphere is one of the most exciting applications of chaos theory. The main goals of this presentation will be try to discuss the effect of chaos theory on the predictability of the atmosphere. For this purpose, we focus on one of the most specific examples of atmosphere events, is global climate change.

One important of satellite remote sensing is the count of cloudy days of a particular region. Cloud cover hampers radiation received from the sun therefore controls LST (land surface, SST (Sea Surface Temperature) accordingly humidity, evaporation, agriculture, aquaculture, tourism, and other human activities. Present work investigated long term cloud cover of the Black Sea using high resolution 6927 daily and 207 monthly composite AVHRR satellite data from March 1993 to December 2012. The results could give a clue for regional and global climate change to take an action for the feature. Results mapped potential availability of obtaining cloud free images for use of other disciplines. The results were discussed as well as the geographical planetary factors that determine the climate of the Black Sea basin and in the context of global climate change. The results obtained also for other disciplines (climate, meteorology, oceanography, hydrography, biology, environmental science, agriculture, tourism, such as Industry) will create a data source. SST patterns also revealed oceanographic events which was studied in earlier work too.