Continuous Dependence for the Pseudoparabolic Equation

We determine the continuous dependence of solution on the parameters in a Dirichlet-type initial-boundary value problem for the pseudoparabolic partial differential equation

Immobilization of catalase via adsorption into natural and modified active carbon obtained from walnut in various methods

In the present work, the immobilization of catalase into natural active carbon and active carbon modified by hydrochloric acid was carried out. In the experimental section, the effects of pH, ionic strength andreaction temperature were chosen as parameters, with experiments performed in batch system. For the optimization of immobilization procedure, values of kinetic parameters were evaluated. It was observedthat storage and operational stabilities of the enzyme increased with immobilization. The results obtained from experiments showed that active carbon is a valuable support for the adsorption of enzymes

Deep levels in a-plane, high Mg-content MgxZn1-xO epitaxial layers grown by molecular beam epitaxy

Deep level defects in n-type unintentionally doped a-plane MgxZn1−xO, grown by molecular beam epitaxy on r-plane sapphire were fully characterized using deep level optical spectroscopy (DLOS) and related methods. Four compositions of MgxZn1−xO were examined with x = 0.31, 0.44, 0.52, and 0.56 together with a control ZnO sample. DLOS measurements revealed the presence of five deep levels in each Mg-containing sample, having energy levels of Ec − 1.4 eV, 2.1 eV, 2.6 V, and Ev + 0.3 eV and 0.6 eV. For all Mg compositions, the activation energies of the first three states were constant with respect to the conduction band edge, whereas the latter two revealed constant activation energies with respect to the valence band edge. In contrast to the ternary materials, only three levels, at Ec − 2.1 eV, Ev + 0.3 eV, and 0.6 eV, were observed for the ZnO control sample in this systematically grown series of samples. Substantially higher concentrations of the deep levels at Ev + 0.3 eV and Ec − 2.1 eV were observed in ZnO compared to the Mg alloyed samples. Moreover, there is a general invariance of trap concentration of the Ev + 0.3 eV and 0.6 eV levels on Mg content, while at least and order of magnitude dependency of the Ec − 1.4 eV and Ec − 2.6 eV levels in Mg alloyed samples

Diurnal gradual heat stress affects antioxidant enzymes, proline accumulation and some physiological components in cotton (Gossypium hirsutum L.)

Even though high temperatures significantly reduce both vegetative growth and yield in cotton, very little is known about the effects of heat stress on cotton antioxidant system. Thus, the effects of gradual heat stress on cotton growth in controlled conditions were investigated in the present study. At squaring stage, cotton plants were subjected to two different temperatures, 38 and 45°C to determine the influence of heat stress on the plants. The results of the present study showed that heat stress did not significantly altered the levels of malondialdehyde (MDA) and hydrogen peroxide (H2O2) in the leaves, whereas there was a remarkable decline in proline quantity of the leaves of plants subjected to 45°C heat stress. As for the amount of total chlorophyll content, a slight increase at plants treated with 38°C temperature was observed. Furthermore, the activities of some enzymes such as superoxide dismutase (SOD), which were associated with heat stress response in other plants was also investigated. For example, there was decline in the activitity of SOD in the plants exposed to high temperatures. On the contrary, catalase (CAT) activity increased at 45°C; peroxidase (POX) activity increased at 38°C and ascorbate peroxidase (APX) activity increased at 38 and 45°C. The results from this study suggest a potential role for CAT, POX and APX in the reduction of elevated levels of H2O2 in cotton plants grown under heat stress condition. To sum up, it could be concluded that, diurnal gradual heat stress caused a low oxidative injury in cotton

Procjena infekcije goveđim enterovirusom tipa 1 (BEV1) u stadu mliječnih goveda prije uzimanja kolostruma

Bovine Enterovirus Type 1 (BEV1) is a viral infection affecting the respiratory, alimentary and reproduction systems, and is accepted as an environmental pollutant due to its resistant features over a long period of time under field conditions. Since calves are born agamaglobulinemic due to syndesmochorial placenta features that block immunoglobulin transfer to the fetus from the dam, the presence of precolostral antibodies directly reflects the defeat of an in-utero infection in the last five months of gestation. In this study, BEV1 was investigated serologically in dams and their precolostral calves. The Virus Neutralisation Test (VNT) was preferred due to its high sensitivity and specificity. The samples were collected simultaneously, shortly after parturition on a large-scale dairy farm. The results of the test showed that 98.7% (153/155) of the dams were seropositive for BEV1. The average antibody (Ab) titer was the highest at 1/20 dilution. Out of 155 precolostral calves, specific Abs were determined in 8 (5.1%). The Ab titer distributions in the calves varied between 1/5 and 1/40, and the peak dilution point was 1/10 in calves while it was 1/80 in their dams. Current veterinary practice is long outdated and needs to be replaced by preventive programs to combat diseases, which are crucial, especially for dairy herds. Precolostral Ab control of newborn calves is preferred as a useful, feasible and reliable tool for detecting recent infections to discover the risks.Infekcija goveđim enterovirusom tipa 1 (BEV1) zahvaća dišni, probavni i reproduktivni sustav, a virus se smatra onečišćivačem okoliša zbog visoke otpornosti na vanjske uvjete. S obzirom na to da se telad rađa s agamaglobulinemijom zbog sindesmohorijalne placente koja sprečava prijenos imunoglobulina s majke na plod, prisutnost protutijela prije uzimanja kolostruma izravno upućuje na dijaplacentarnu infekciju u posljednjih pet mjeseci bređosti. U ovom je istraživanju BEV1 ispitivan serološkim metodama u krava i njihove teladi. Uzorci su analizirani virus-neutralizacijskim testom (VNT) zbog njegove visoke osjetljivosti i specifičnosti. Uzorci su prikupljeni istodobno, odmah nakon teljenja na farmi mliječnih krava. Test je pokazao da je 98,7 % krava (153 od 155) seropozitivno na BEV1. Prosječan titar protutijela bio je najviši pri razrjeđenju 1 : 20. Od 155 telića prije uzimanja kolostruma specifična su protutijela pronađena u njih 8 (5,1 %). Titar protutijela među telićima varirao je između 1 : 5 i 1 : 40, a najviši je titar utvrđen pri razrjeđenju 1 : 10 u telića, odnosno 1 : 80 u krava. Sadašnja je veterinarska praksa odavno zastarjela i zamijenjena je prevencijom bolesti što je u stadima mliječnih goveda ključno. Praćenje protutijela na BEV1 u novorođene teladi prije uzimanja kolostruma jest korisna, izvediva i pouzdana metoda otkrivanja zaraze i razumijevanja rizika od zaraze

Scaling forecasting algorithms using clustered modeling

Research on forecasting has traditionally focused on building more accurate statistical models for a given time series. The models are mostly applied to limited data due to efficiency and scalability problems. However, many enterprise applications require scalable forecasting on large number of data series. For example, telecommunication companies need to forecast each of their customers’ traffic load to understand their usage behavior and to tailor targeted campaigns. Forecasting models are typically applied on aggregate data to estimate the total traffic volume for revenue estimation and resource planning. However, they cannot be easily applied to each user individually as building accurate models for large number of users would be time consuming. The problem is exacerbated when the forecasting process is continuous and the models need to be updated periodically. This paper addresses the problem of building and updating forecasting models continuously for multiple data series. We propose dynamic clustered modeling for forecasting by utilizing representative models as an analogy to cluster centers. We apply the models to each individual series through iterative nonlinear optimization. We develop two approaches: The Integrated Clustered Modeling integrates clustering and modeling simultaneously, and the Sequential Clustered Modeling applies them sequentially. Our findings indicate that modeling an individual’s behavior using its segment can be more scalable and accurate than the individual model itself. The grouped models avoid overfits and capture common motifs even on noisy data. Experimental results from a telco CRM application show the method is efficient and scalable, and also more accurate than having separate individual models. © 2014, Springer-Verlag Berlin Heidelberg

Melitopalynological and antimicrobial properties of honeys from elaziğ(e Turkey)

In this study, the pollen analyses and antimicrobial effect were conducted in honey samples, which were collected from seven localities where apiculture has intensively been practiced. Upon pollen analyses of 16 different plants have been determined. The plants contributing nectar to honey samples in Elazig were found as follows; Fabaceae: Astragalus, Trifolium, Vicia, Onobrychis; Asteraceae: Centaurea triumfettii, Carduus, Xeranthemum, Helianthus annuus; Lamiaceae: Salvia, Mentha;Rosaceae: Rubus, Prunus;Vitaceae: Vitaceae: Vitis;Apiaceae: Daucus; Zygophyllaceae: Peganum harmala; Ranunculaceae: Ranunculus. The honey sapmles have inhibited the growth of bacteria used in our work at varying degrees. None of the samples had any antifungal effect against Candida albicans FMC-17 and Saccharomycescerevisiae UAG-10

Effects of semen sexing kits (HeiferplusTM and BullplusTM) supplemented to frozen-thawed bull semen on pregnancy rates, foetal sex ratios and selected reproductive parameters in cows

It has been claimed that artificial insemination (AI) of cows with frozen-thawed semen treated with commercially produced kits, HeiferplusTM (HP, in favour of female gender) and BullplusTM (BP, in favour of male gender), increases the birth chance of calves with desired sex ratio by at least 20–25% and pregnancy rates by at least 5–20%. Hence, this study was conducted to investigate the efficacy of HP and BP kits as combined with AI on the pregnancy rates, foetal sex ratios and some reproductive parameters in cows. For this, a total of 200 cows (100 Holsteins and 100 Simmentals) from three to five years old were used. Fifty Holstein and 50 Simmental cows served as controls. The other half of Holstein and Simmental cows was artificially inseminated with frozen-thawed semen treated with HP and BP, respectively. Findings showed that the AI of cows with frozen-thawed semen treated with HP had no significant effect on the pregnancy rate [52.0% (26/50) in HP group; 56.0% (28/50) in control group], female calf ratio [52.0% (13/25) in HP group; 44.4% (12/27) in control group], embryonic death, abortion, stillbirth, twinning and gestation length as compared to the control group. Similarly, AI of cows with frozen-thawed semen treated with BP did not lead to any significant effect on the pregnancy rate [64.0% (32/50) in BP group; 58.0% (29/50) in control group], male calf ratio [53.1% (17/32) in BP group; 39.3% (11/28) in control group] and other reproductive parameters as compared to the control group. In conclusion, HP and BP treatments of semen used in the AI provided only slight, non-significant increases in female (7.6%) and male (13.8%) calf ratios, respectively.FUBAP; Grant No. 211

137Cs to Determine Coastal Erosion: Example of Urla Peninsula Coasts

DergiPark: 461977trakyasobedVariousnatural and artificial radionuclides are widely used in determining the soilerosion. Applications of these techniques to coastal erosion are, however,relatively new. This study describes the use of 137Cs radionuclide forobtaining information on coastal dynamics is subject to erosion, losses ofsediments, and deposition of material that had been remobilized from near-shoresediments and also a empirical model has been created to obtain informationerosion, sedimantiation and other coastal dynamics. Firstly,radioactivity levels of 137Cs element was determined on 112 (21)sand and 16 (3) soil samples taken from the beaches of Urla Peninsula. Theresults obtained are related to coastal current and wave directions and grainsize distribution at the beaches. Then a model was created to understand theamount erosion and which beaches have sensitive to erosion. The results of thestudy are transferred to a geographical database and mapped.Toprak erozyon miktarıve hızının belirlenmesinde çeşitli radyoaktif elementler yaygın olarakkullanılmaktadır. Ancak kıyı erozyonu ile ilgili kullanımları yenidir. Buçalışmada 137Cs elementinin dağılımı kullanılarak kıyıortamlarındaki erozyon, birikim ve kıyı dinamikleri hakkında bilgi elde etmekiçin ampirik bir çalışma yürütülmüştür. İlk olarak Urla yarımadasındakiplajlardan alınan 112 (21) kum ve 16(3) toprak örneği üzerinde 137Cselementinin radyoaktivite düzeyleri belirlenmiştir. Referans değerler ilekarşılaştırılan radyoaktivite düzeylerindeki farklılık nerelerde erozyon ya dadepozisyon olduğu konusunda bir fikir vermektedir. Elde edilen sonuçlar kıyıakıntı ve dalga yönleri ile plajlardaki tane boyu dağılımı ileilişkilendirilmiştir. Ardından hangi plajlarda erozyon olduğu ve bu erozyonunmiktarının ne kadar olduğu ile ilgili bir model oluşturulmuştur. Analizsonuçları coğrafi bir veri tabanına aktarılarak haritalanmıştır