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    Determining Factors That Influence Nurses' Perceptions of Quality Implementations Conducted in Hospitals in Turkey

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    Background Quality management program implementations in health services are team endeavors that involve all health service personnel. Because they are direct providers of care, nurses are best able to evaluate the influence of quality management program implementations on the health services and quality of care provided by hospitals. Purpose The aim of this study was to develop an instrument to determine how nurses perceive the implementation of quality management programs in hospitals. Furthermore, the nurses' perceptions of the influence of these implementations on the quality of patient care and their job satisfaction were examined. Methods A descriptive, comparative, cross-sectional online survey was conducted using a convenience sample (N = 388) of practicing nurses working at public and university hospitals where quality management programs were implemented. Nurses' perceptions of the implementations were analyzed using confirmatory factor analysis, whereas the influence of nurses' perceptions of quality management implementations on patient care and job satisfaction was measured using structural equation modeling approaches. Results This study revealed that the instrument is valid and reliable for the measurement of participant perceptions of quality management program implementations. Nurses' perceptions were generally negative, and they exhibited negative attitudes toward the implementation of quality management in the institutions where they work. However, the quality management program implementations had little influence on perceptions of the quality of patient care. Participant job satisfaction was lower than average, and the quality management program implementations conducted in the hospitals negatively affected job satisfaction. On the other hand, participants who worked at university hospitals perceived quality management program implementations more affirmatively; patient care quality and job satisfaction were viewed more positively as well. Conclusions/Implications for Practice Because nurses do not participate effectively in quality management program implementations, they perceive these efforts as unnecessary and the responsibility of the quality control department. It is very important to ensure that all care-service providers participate to effectively implement quality management programs in hospitals and to encourage the adoption of a culture of patient safety in all institutions

    Performance evaluation of GSA, SOS, ABC and ANN algorithms on linear and quadratic modelling of eggplant drying kinetic

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    In this study, kinetics of eggplant drying was modeled in the laboratory-scaled Food Drying Oven (FDO) with resistance heater was designed and manufactured. The temperature, energy consumption and drying time of FDO were recorded by keeping the temperature of at different temperatures as 40, 50 and 60 degrees C. These saved values were chosen as the input parameters of the modeL The weight value of the eggplant was taken as the output parameter. Linear and quadratic equations were developed for modeling and constant coefficients of these equations were estimated with Artificial Bee Colony (ABC), Gravitational Search Algorithm (GSA), symbiotic organisms search (SOS) algorithms. In addition, the performances of these models were compared with the model developed with ANN in terms of performance and time. The results show that the lowest error of the developed linear and quadratic equations was obtained with SOS algorithm. The MSE metric results of ANN were fifty times higher than the performance of SOS algorithm, and the SOS algorithm reached best value three times faster than the ANN

    Ortho versus Meta Chlorophenyl-2,3-Benzodiazepine Analogues: Synthesis, Molecular Modeling, and Biological Activity as AMPAR Antagonists

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    2,3-Benzodiazepine compounds are an important family of alpha-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR) antagonists that act in a noncompetitive manner. Due to the critical role of AMPARs in the synapse and various neurological diseases, significant scientific interest in elucidating the molecular basis of the function of the receptors has spiked. The analogues were synthesized to assess the functional consequence of removing the amine group of the phenyl ring, the potency and efficacy of inhibition by substituting a halogen group at the meta vs ortho position of the phenyl ring, and layout the prediction of potential drug candidates for AMPAR hyperactivation. Using the whole-cell patch-clamp technique, we assessed the effect of the derivative on the amplitude of various AMPA-type glutamate receptors and calculated the desensitization and deactivation rates before and after treatment of HEK293 cells. We noticed that the amino group is not necessary for inhibition as long as an electron-withdrawing group is placed on the meta position of the phenyl ring of BDZ. Furthermore, compound 4a significantly inhibited and affected the desensitization rate of the tested AMPARs but showed no effect on the deactivation rate. The current study paves the way to a better understanding of AMPARs and provides possible drug candidates of 2,3-BDZ different from the conventional derivatives

    Improvıng The Transmıssıon Of Uwb Mb-Ofdm System Usıng Adaptıve Modulatıon

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    Adaptif Modülasyon ve Kodlama, OFDM (Orthogonal Frequency Division Method)’de BER (Bit Error Rate)’i minizime etmeye yarayan bir yöntemdir. OFDM’in kullanıldığı haberleşme sistemlerinde Adaptif Modülasyon algoritması adaptif kodlama SNR(Signal to Noise Ration) ve BER’in zamana bağlı olarak değişimlerine dayanır. MB-OFDM (Multiband OFDM) UWB (Ultra Wideband) bant aralığında OFDM üzerinden üretilen bir haberleşme yöntemidir ve IEEE 802.15.3a standartı baz alınarak parametreleri tanımlanır. Adaptif Modülasyon MB-OFDM yönteminde değişen gürültülerde BER probleminin çözmeye yardımcı olur. Adaptif Modulasyon aracılığı ile farklı modulasyon yöntemlerinden uygun olanı seçilerek en küçük iletimde en küçük BER değeri elde etmeye yardımcı olur. Quadrature Phase Shift Keying (QPSK) and (Quadrature Phase Shift Keying (QAM) OFDM ile kullanılan modulasyon yöntemlerinden biridirThe adaptive modulation scheme is proposed to minimize bit-error-rate (BER) performance in the Orthogonal Frequency Division Multiplexing (OFDM) system. In OFDM communication systems adaptive modulation algorithms based on Signal To Noise Ratio (SNR) and based on BER changed with over MB-OFDM (Multiband OFDM) UWB (Ultra Wideband) is a communication method produced over OFDM over the bandwidth and defined parameters based on the IEEE 802.15.3a standard. Adaptive Modulation helps solve the BER problem in varying noises in the MB-OFDM method. Appropriate modulation methods is selected by means of Adaptive Modulation, it helps to obtain the smallest BER value in the smallest transmission. Quadrature Phase Shift Keying (QPSK) and (Quadrature Phase Shift Keying (QAM) are one of the modulation methods used with OFDM

    Investigation of cold extrusion process by coupled thermo-mechanical finite element analysis

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    As shown by Muller et al. {[}1] and Klocke {[}2], cold forward extrusion process which is widely used in the manufacturing of various parts in the industry is distinguished by its low material usage and improvesd mechanical strength due to strain hardening as well as manufacturing capabilities with narrow tolerances. Although extrusion process starts at room temperature, as stated by Groche et al. {[}3], the temperature on the workpiece can reach up to 200 degrees C and as reported by Groche et al. {[}4], the contact normal stress between die and workpiece can reach up to 3.000 MPa. Therefore, it is necessary to examine the temperature effects while conducting finite element analysis. It is known that, besides mechanical and physical properties of workpiece material, heat transfer between sample and die is also of high importance. However, there is no consensus about the magnitude of this heat transfer coefficient. This study examines the effect of the heat transfer coefficient between die and workpiece on the thermal and mechanical properties of the extrusion process using coupled thermo-mechanical finite element analysis. Finite element simulations are conducted using various heat transfer coefficients and forming speeds and differences in the results are discussed. Simulation results are verified through experiments

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