A Comparative Study of a 1/4-Scale Gulfstream G550 Aircraft Nose Gear Model

A series of fluid dynamic and aeroacoustic wind tunnel experiments are performed at the University of Florida Aeroacoustic Flow Facility and the NASA-Langley Basic Aerodynamic Research Tunnel Facility on a high-fidelity -scale model of Gulfstream G550 aircraft nose gear. The primary objectives of this study are to obtain a comprehensive aeroacoustic dataset for a nose landing gear and to provide a clearer understanding of landing gear contributions to overall airframe noise of commercial aircraft during landing configurations. Data measurement and analysis consist of mean and fluctuating model surface pressure, noise source localization maps using a large-aperture microphone directional array, and the determination of far field noise level spectra using a linear array of free field microphones. A total of 24 test runs are performed, consisting of four model assembly configurations, each of which is subjected to three test section speeds, in two different test section orientations. The different model assembly configurations vary in complexity from a fully-dressed to a partially-dressed geometry. The two model orientations provide flyover and sideline views from the perspective of a phased acoustic array for noise source localization via beamforming. Results show that the torque arm section of the model exhibits the highest rms pressures for all model configurations, which is also evidenced in the sideline view noise source maps for the partially-dressed model geometries. Analysis of acoustic spectra data from the linear array microphones shows a slight decrease in sound pressure levels at mid to high frequencies for the partially-dressed cavity open model configuration. In addition, far field sound pressure level spectra scale approximately with the 6th power of velocity and do not exhibit traditional Strouhal number scaling behavior

Internet of Things in Sustainable Energy Systems

Our planet has abundant renewable and conventional energy resources but technological capability and capacity gaps coupled with water-energy needs limit the benefits of these resources to citizens. Through IoT technology solutions and state-of-the-art IoT sensing and communications approaches, the sustainable energy-related research and innovation can bring a revolution in this area. Moreover, by the leveraging current infrastructure, including renewable energy technologies, microgrids, and power-to-gas (P2G) hydrogen systems, the Internet of Things in sustainable energy systems can address challenges in energy security to the community, with a minimal trade-off to environment and culture. In this chapter, the IoT in sustainable energy systems approaches, methodologies, scenarios, and tools is presented with a detailed discussion of different sensing and communications techniques. This IoT approach in energy systems is envisioned to enhance the bidirectional interchange of network services in grid by using Internet of Things in grid that will result in enhanced system resilience, reliable data flow, and connectivity optimization. Moreover, the sustainable energy IoT research challenges and innovation opportunities are also discussed to address the complex energy needs of our community and promote a strong energy sector economy

Black Cumin (Nigella sativa L.) Supplementation into the Diet of the Laying Hen Positively Influences Egg Yield Parameters, Shell Quality, and Decreases Egg Cholesterol

The objective of this study was to determine the effects of various levels of dietary black cumin seed on egg production, egg weight, feed conversion ratio, egg shell quality, and egg yolk cholesterol. In this study, eighty 27-wk-old laying hens (Hyline-5 White) were randomly assigned into 4 groups with 4 replicates of 5 birds each (20 laying hens per group) and fed diets supplemented with 1, 2, or 3% black cumin. Eggs were collected and weighed daily. Laying performance, egg quality, and feed conversion ratio were evaluated. Laying hens fed the diet supplemented with 3% black cumin had greater egg production than the control. Diets supplemented with 2 or 3% black cumin increased egg weight compared with other groups. Yolk weights of the eggs from hens fed diets containing 1, 2, and 3% black cumin were significantly greater than those from the control group. Shell thickness of the eggs from chickens fed 2 or 3% black cumin seed was significantly greater than those from chickens fed diets supplemented with 0 or 1% black cumin seed. Also, shell strength of the eggs from hens fed diets supplemented with 3% black cumin seed was significantly greater than the control. In addition, diets supplemented with 2 or 3% black cumin significantly decreased egg cholesterol per gram of yolk compared. No level of black cumin seed supplementation had any effect on live weight, feed consumption, feed conversion ratio, organ weights, and abdominal adipose tissue. This study showed that black cumin at the level of 2 or 3% would positively influence egg production, egg weight, and shell quality and decrease the concentration of cholesterol in the egg yolk

Genetic Polymorphisms of alpha-lactalbumin and beta-lactoglobulin in South Anatolian and East Anatolian Red Cattle

The objective of the present study was to determine the genotype and allele frequencies for alpha-lactalbumin (alpha-LA) ve beta-lactoglobulin (beta-LG) that are claimed to be associated with milk production traits in cattle in South Anatolian Red (SAR) and East Anatolian Red (EAR) cattle. In this study, 40 cattle for each of SAR and EAR were used. Genomic DNA samples were isolated by using standard salt-out method. After Polymerase Chain Reaction (PCR), alpha-LA and beta-LG genes were digested with MspI and RsaI (R5), AvaI (R3), MspI (R1), Sau3A (R2) restriction enzymes, respectively. As a result, SAR and EAR cattle breeds have the lower allel frequencies for alpha-LA and beta-LG gene than high-yielding European dairy cattle breeds. Because of that reason we may claim that applying the selection programs for developing the allels belonging to both genes may contribute to the trials to improve the production parameters in SAR and EAR breed bovines

Effect of fish oil on performance and serum adipokine levels of dairy does during gestation period

PubMedID: 31269351Fatty acids are very important biological substances due to their metabolic, structural and signaling functions. Omega-3 has different beneficial, harmful and neutral effects on adipokines. Adipokines have autocrine, paracrine and endocrine effects on metabolism. In the study 54 German Fawn x Hair crossbred goats were synchronized using intravaginal sponges. During the first period (mating-75 days), all animals were fed a diet supplemented with protected fat and during the second period of pregnancy (76 days-kidding), one of the groups was fed a diet supplemented with fish oil and other was fed a diet supplemented with protected fat. Serum leptin, ghrelin, adiponektin and omentin levels were measured by ELISA system. Distributed fed (roughage and concentrate) were sampled and dry matter, crude protein, fat, and ash were determined by AOAC (1988) analysis methods. The Acid Detergent Fiber (ADF) and Neutral Detergent Fiber (NDF) analysis were conducted using heat stable ?-amylase and sodium sulphite. Fat source (fish oil or protected fat) affected feed consumption and the highest feed consumption was found in the group fed with protected oil first half of the pregnancy and with fish oil in the second half of the pregnancy and in the fish oil group during the pregnancy. It was determined that the use of fish oil during pregnancy did not affect ghrelin, leptin and omentin concentrations in serum. Adipokine levels of fish oil fed animals during any period of pregnancy were found to be high and it was also found that serum adiponectin levels in goats fed with diet containing fish oil in the first half of pregnancy and protected fat in the second half were statistically significantly high in adipokines. © 2019 Polish Academy of Sciences. All rights reserved.Firat University Scientific Research Projects Management Unit: 21752This project was supported by Istanbul University Scientific Research Projects Unit, Project No. 2175

PRNP gene polymorphisms in main indigenous Turkish goat breeds

The polymorphisms of the PRNP gene influence the susceptibility to scrapie in goats. In this study, caprine PRNP gene was analysed in a total of 249 individuals from three main indigenous goat breeds of Turkey: Anatolian Black, Angora and Kilis. We focused on the Anatolian Black breed, which represents 97% of the goat population in Turkey and compared the data of samples originated from different geographical regions. Eight polymorphisms were determined, given rise to 12 haplotypes. Allele, genotype and haplotype frequencies of the polymorphisms at codons 142, 143, 146, 154, 171, 211, 222 and 240 were calculated. Alleles associated to resistance to scrapie were found to be relatively rare in all breeds. The resistance allele 222K was absent in Turkish breeds. Other resistance-associated alleles: 146D, 146S, 154H and 171R were observed with low frequencies. The results of this study, which cover the mainly bred indigenous goats in Turkey, present the distribution of PRNP polymorphisms. Very low frequencies of resistance-associated alleles show the susceptibility to scrapie. The resistance-associated alleles S and D of codon 146 might be accepted as candidate alleles, due to their relative higher frequencies observed in the present study. A breeding program aiming to increase particularly the frequency of 146S might be applied. Predictions about impacts of a long-term breeding programme based on low initial allele frequencies and regarding its possible adverse effects are warranted. Our results might be a database for future breeding programmes, which should be carefully designed with adequate levels of genetic resistance and acceptable timeframe. © 2019, Springer Nature B.V.Firat University Scientific Research Projects Management UnitThis work was supported by Scientific Research Projects Coordination Unit of Istanbul University. Project number TSA-2017-24414