Miracle-dz/UniFAR-FTUs huggingface dataset:
Disease Modifying Osteoarthritic Drug, Pentosan Polysulfate Sodium Modulates Cytokine-Induced Osteoarthritic Changes and Promotes Articular Cartilage Tissue Regeneration in vitro [an abstract of dissertation and a summary of dissertation review]

Title Disease Modifying Osteoarthritic Drug, Pentosan Polysulfate Sodium Modulates Cytokine-Induced Osteoarthritic Changes and Promotes Articular Cartilage Tissue Regeneration in vitro [an abstract of dissertation and a summary of dissertation review] Author(s) BWALYA, EUGENE CHISELA Issue Date 2017-09-25 Doc URL http://hdl.handle. net/2115/67871 Rights(URL) http://creativecommons.org/licenses/by-nc-sa/2.1/jp/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information EUGENE_CHISELA_BWALYA_abstract. pdf (論文内容の要旨)
Phytase enzyme in diets containing defatted rice bran for growing swine

Organic phosphorus is poorly utilized by monogastric animals because they lack phytase, the enzyme that cleaves the ortho-phosphate groups from the phytate molecule. Diets fed to pigs are supplemented with inorganic P, and this can increase environmental pollution and diet costs. Sixty mixed sex, half-breed pigs, were used to evaluate the effect of increasing dietary levels of phytase (253, 759, 1265 and 1748 PU kg-1 feed) on animal performance as compared to a control without phytase but supplemented with dicalcium phosphate. Enzyme levels did not affect daily feed intake, food conversion, average daily weight gain, plasma P and Ca, calcium and phosphorus in bone ash, and the calcium/phosphorus ratio in the plasma and bones. A quadratic relationship between phytase levels and the percentages of P and Ca in bone ash was observed, reaching a maximum at the 880 and 879 PU levels, respectively. Animals fed diets containing phytase presented low plasma P values when compared to the control, but no effects were observed for the regression analysis. Using 759 PU phytase in rations containing corn, soybean bran and defatted rice bran for growing pigs can eliminate the use of traditional sources of P.
Resource enhancement of grazing mayfly nymphs by retreat-building caddisfly larvae in a sandbed stream

Over the summer-autumn low-flow period in the sandy upper and middle reaches of the Creightons Creek system of northern Victoria, Australia, several different macroscopically visible substrate patch types form on the streambed. Exploratory multivariate analyses revealed a distinct macroinvertebrate fauna associated with each patch type. The major patch types were the thalweg, or pathway of main flow, in which the substrate consisted of constantly shifting fine sand, and adjacent stable patches of coarser sand, covered with larval retreats of the hydropsychid caddisfly Cheurnatopsyche sp. (Trichoptera:Hydropsychidae). Although thalweg and Cheurnatopsyche patches contained a similar interstitial macroinvertebrate fauna, the former lacked a surface-dwelling, or epibenthic, fauna. The silken retreats of Cheurnatopsyche larvae entrained algal filaments and detritus, food of the grazing mayfly nymph Baetis sp. Baetis nymphs recolonized plots containing Cheurnatopsyche retreats in higher numbers than plots in which Cheurnatopsyche retreats and their entrained detritus had previously been scoured away. Given the widespread distribution of the Cheurnatopsyche patch type in the system during the low-flow period, it is hypothesized that the indirect interaction between these two species may constitute a significant pathway in the energy budget of the stream.
On Fast SVM Algorithms Used For Pattern Recognition

This tutorial on fast Support Vector Machines (SVM) presents mathematical formulations and pseudocode Implementations of three algorithms used for fast SVM training. Traditional SVM training is a quadraticprogramming (QP) minimization problem that can be solved, e.g., using the Sequential Minimization Optimization (SMO) algorithm. This algorithm solves analytically a small QP optimization problem in each iteration, drastically reducing the training time needed by conventional QP optimizers. It is important to note that traditional SVM can be of two types: L1SVM and L2SVM, depending on the way that the training error is characterized in the SVM mathematical formulation. The SMO implementation presented in this tutorial applies only for the L1SVM, but it can be adapted to the L2SVM case. The Proximal SVM (PSVM) algorithm was also introduced as a fast alternative to traditional SVM classifiers that usually require a large amount of computation time for training. Unfortunately the PSVM algorithm may present poor performance due to biased optimal hyperplanes. The Unbiased Proximal SVM (UPSVM) algorithm uses a slightly different approach to circumvent this problem, such that an unbiased optimal hyperplane is always obtained. The results obtained show that the UPSVM algorithm performs better than the Sequential Minimal Optimization (SMO) algorithm with respect to training time with similar or better probability of correct pattern classification. The UPSVM algorithm also performs better than the PSVM algorithm with respect to probability of correct pattern classification (especially for low values of the regularization parameter C ), to training time, and to the number of floating point operations.
Identifying crucial gaps in our knowledge of the life-history of avian influenza viruses—an Australian perspective

Abstract We review our current knowledge of the epidemiology and ecology of avian influenza viruses (AIVs) in Australia in relation to the ecology of their hosts. Understanding the transmission and maintenance of low-pathogenic avian influenza (LPAI) viruses deserves scientific scrutiny because some of these may evolve to a high-pathogenic AIV (HPAI) phenotype. That the HPAI H5N1 has not been detected in Australia is thought to be a result of the low level of migratory connectivity between Asia and Australia. Some AIV strains are endemic to Australia, with Australian birds acting as a reservoir for these viruses. However, given the phylogenetic relationships between Australian and Eurasian strains, both avian migrants and resident birds within the continent must play a role in the ecology and epidemiology of AIVs in Australia. The extent to which individual variation in susceptibility to infection, previous infections, and behavioural changes in response to infection determine AIV epidemiology is little understood. Prevalence of AIVs among Australian avifauna is apparently low but, given their specific ecology and Australian conditions, prevalence may be higher in little-researched species and under specific environmental conditions.
Effects of feeding different levels of low crude protein diets with different levels of amino acids supplementation on layer hen performance

The use of synthetic amino acids (methionine, lysine, threonine) makes the formulation of diets with minimum levels of crude protein possible. The objective of this study was to determine the effects of low crude protein diet with amino acids supplementation on the performance, egg production, small intestine villus height and faecal LAB and ENT count in laying hens. A total of 144 16-week old layer hens of Hisex brown were assigned to four dietary treatments: 17.5% CP (control); (ii) 17.5% CP; (iii) 17% CP; and (iv) 16.5% CP supplemented with amino acids. Treatment group supplemented 17% CP was significantly higher (P 0.05) in egg quality. Results showed significant differences (P<0.05) in both villi height and crypt depth in duodenum, jejunum and ileum. The treatment supplemented with 17% CP showed a significant reduction (P<0.05) in faecal pH compared to the other groups. There was a significant different (P<0.05) in LAB and ENT count and LAB/ENT ratio among the dietary treatments. In conclusion, 17% CP treatment supplemented with amino acids demonstrated the best effects in improving the hens' egg production, small intestine villus height and even promoting beneficial effects of faecal microflora.
Is mother condition related to offspring condition in migratory caribou (Rangifer tarandus) at calving and weaning

Maternal characteristics can affect offspring traits, yet they are seldom included when considering density depend- ence of juvenile traits and population dynamics. We quantified the influence of population size and maternal traits on body condition of migratory caribou (Rangifer tarandus (L., 1758)) calves at birth and weaning. We contrasted female-calf pairs of the Riviere-George (RG) herd, which has recently declined to low population size, with pairs of the much larger Riviere- aux-Feuilles (RAF) herd. Calves of the RAF herd were lighter, smaller, and leaner than calves of the RG herd at both birth and weaning. Differences between herds, however, were much greater at weaning than at calving, suggesting a combined ef- fect of herd size and summer range conditions on calf growth. Maternal mass was positively related to calf body condition during both periods. The positive influence of maternal mass on calf body condition was greater for RAF than RG calves at birth, but it was similar for the two herds at weaning. Our results show that the negative effect of population size on calf body condition can be modulated by maternal mass at calving, and that the positive effect of maternal mass is greater at weaning.
The role of eddies in the southern ocean temperature response to the southern annular mode.

The role of eddies in modulating the Southern Ocean response to the southern annular mode (SAM) is examined,usinganoceanmodelrunatmultipleresolutionsfromcoarsetoeddyresolving.Thehigh-resolution versionsof the model showan increase in eddy kinetic energy that peaks 2‐3 yr after a positive anomalyin the SAM index. Previous work has shown that the instantaneous temperature response to the SAM is characterized by predominant cooling south of 458S and warming to the north. At all resolutions the model captures this temperatureresponse. This responseis also evidentin the coarse-resolution implementation of the model with no eddy mixing parameterization,showing that eddiesdo not play an important role in the instantaneous response. On the longer time scales, an intensification of the mesoscale eddy field occurs, which causes enhanced poleward heat flux and drives warming south of the oceanic Polar Front. This warming is of greater magnitude and occurs for a longer period than the initial cooling response. The results demonstrate that this warming is surface intensified and strongest in the mixed layer. Non-eddy-resolving models are unable to capturethedelayededdy-driventemperatureresponsetotheSAM.Theauthorsthereforequestiontheability
Inkjet printing of carbon nanotubes for electronic applications

In this thesis, preparation of carbon nanotube (CNT) inks and inkjet printing of aqueous dispersions of CNTs for certain electrical applications are studied. The nanotube inks prepared in this work are based on chemically oxidized CNTs whose polar side groups enable dispersion in polar solvents. Subsequent centrifugation and decanting processes are used to obtain stable dispersions suitable for inkjet printing. The inks are based on either carboxyl functionalized multiwalled carbon nanotubes (MWCNTs), carboxyl functionalized single wall carbon nanotubes (SWCNTs) or SWCNT-polymer composites. The applicability of MWCNT inks is firstly demonstrated as printed patterns of tangled nanotube networks with print resolution up to ~260 dpi and surface resistivity of ~40 kΩ/□. which could be obtained using an ordinary inkjet office printer. In addition, MWCNT inks are found to exhibit spatial ordering in external magnetic fields due to entrapped iron catalyst nanoparticles in the inner-tubular cavity of the nanotubes. Ordering of nanotubes in the inks and in drying droplets placed in relatively weak magnetic fields (B ≤ 1 T) is demonstrated and studied. The high electrical conductivity and optical transparency properties of SWCNTs are utilized for enhancing the conductivity of transparent poly(3,4-ethylenedioxythiophene): poly(styrenesulphonate) (PEDOT:PSS) films. Polymer-nanotube composite materials are inkjet printed on flexible substrates. It is demonstrated that incorporation of SWCNTs in the thin polymer films significantly increases the electrical conductivity of the film without losing the high transparency (> 90%). The structure of composite films is studied using atomic force microscopy (AFM). The electronic properties of deposited random SWCNT networks are studied. The amount of deposited SWCNT is controlled by the inkjet printing technique. In dense networks the currentvoltage behaviour is linear whereas for sparse films the behaviour is nonlinear. It is shown that the conduction path in dense films is through the metallic nanotubes, but in sparse films the percolation occurs through random networks of metallic and semiconducting SWCNTs having Schottky-type contacts. The existence of Schottky-junctions in the films is demonstrated with field-effect transistors (FET) on Si-chips and on polymer substrates. The latter is demonstrated as fully printed transistors using a single ink as a material source. FETs are further utilized as chemical-FET sensor applications. The performance of resistive CNT sensors and their comparisons with chem-FETs in terms of selectivity are studied for H2S gas.
The link between the shape of the irrational Aubry-Mather sets and their Lyapunov exponents

We consider the irrational Aubry-Mather sets of an exact symplectic monotone C 1 twist map of the two-dimensional annulus, introduce for them a notion of \C 1 -regularity" (related to the notion of Bouligand paratingent cone) and prove that a Mather measure has zero Lyapunov exponents if and only if its support is C 1 -regular almost everywhere; a Mather measure has nonzero Lyapunov exponents if and only if its support is C 1 -irregular almost everywhere; an Aubry-Mather set is uniformly hyperbolic if and only if it is irregular everywhere; the Aubry-Mather sets which are close to the KAM invariant curves, even if they may be C 1 -irregular, are not \too irregular" (i.e., have small paratingent cones). The main tools that we use in the proofs are the so-called Green bundles.
Preparation of A New Uric Acid Biosensor with İmmobilization of Uricase Upon Polypyrrole-Paratoluene Sulphonate Film

In this study, a new amperometric biosensor based on immobilized uricase was developed for the determination of uric acid. Polypyrrole - p -toluene sulphonate film was prepared on the surface of a platinum (Pt) electrode by electropolymerization of pyrrole in the presence of p -toluene sulphonate as an anionic dopant. Uricase enzyme were immobilized in polypyrrole - p -toluene sulphonate via the entrapment method. Determination of uric acid was performed by oxidation of enzymically generated H 2 O 2 at 0.3 V. Some factors that affect response current were studied such as temperature, pH and substrate concentration. Operation stability and storage stability of the biosensor was determined. The biosensor retained 76.6% of its initial performance after 30 assays and it lost 58% of its initial performance after 60 days. Effects of interferants on the current response of the biosensor were examined. The performance of the biosensor was measured in serum of healthy individuals.
Identification of SNPs in TG and EDG1 genes and their relationships with carcass traits in Korean cattle (Hanwoo)

Thyroglobulin (TG) gene was known to be regulated fat cell growth and differentiation and the endothelial differentiation sphingolipid G-protein-coupled receptor 1 (EDG1) gene involves blood vessel formation and known to be affecting carcass traits in beef cattle. The aim of this study was to identify the single nucleotide polymorphisms (SNPs) in both TG and EDG1 genes and to analyze the association with carcass traits in Korean cattle (Hanwoo). The T354C SNP in TG gene located at the 3' flanking region and c. -312A>G SNP located at 3'-UTR of EDG1 gene were used for genotyping the animals using PCR-RFLP method. Three genotypes were identified in T354C SNP in TG gene and only two AA and AG genotypes were observed for the c. -312A>G SNP in EDG1 gene. The results indicated that T354C SNP in TG gene was not significantly associated with carcass traits. However, the c. -312A>G SNP in EDG1 gene had significant effects on backfat thickness (BF) and yield index (YI). These results may provide valuable information for further candidate gene studies affecting carcass traits in Korean cattle and may use as marker assisted selection for improving the quality of meat in Hanwoo.
Rock-paper-scissors a new and elegant proof

I provide an elegant proof identifying the unique mixed Nash equilibrium of the Rock-Paper-Scissors game. The proof is based on intuition rather than elimination of cases. It shows that for any mixed strategy other than the one that puts equal probability on each of a player's actions, it holds that this strategy is not a best response to any mixed strategy that is a best response to it.
The Impact of Trade Integration and Competition on Real and Nominal Price Rigidities: Insights from a New-Keynesian DSGE Model

The paper examines the impact of trade integration and product market competition on firms' price setting behaviour and the degree of price stickiness. The analysis is based on a New-Keynesian open-economy DSGE model with variable desired mark-ups and Calvo price setting in which the frequency of price adjustment is endogenised. The study demonstrates that trade integration and the resulting changes in competition affect the degree of strategic complementarity in firms' price setting decisions and the frequency with which firms change their prices, which determine the degree of real and nominal price rigidities respectively. The micro-founded macroeconomic model constructed explains the positive relationship between competition and the frequency of price adjustment evident from empirical studies and surveys of firms' price setting behaviour. By accounting for the impact of competition on firms' pricing policies, the study also provides new insights into the effects of global economic integration on the Phillips Curve and inflation dynamics.
THE FACTORS AFFECTING ON FATTY ACID COMPOSITION OF OIL CROPS

Vegetable oils processed by crude-oil processing industries have an important role in human nourishment as well as human healthy. Chemical and physical properties of oils vary with their fatty acid kinds and composition. Fatty acid composition of vegetable oils is not constant. There is a big different among species in terms of fatty acid composition and it is changeable to a large scale depending on many of factors. Therefore, to know the variation occurred in fatty acid composition of an oil-seed under given condition is very important for oil quality. Oil quality depends largely on nourishment value, fatty acid composition and the processing manner for crude-oil. To know the fatty acid composition of vegetable oil makes oil production possible for special using purposes. Thus, it would be possible to produce suitable oils by cultivating the desired genotypes under suited ecological conditions.
Market Imperfections and Farm Technology Adoption Decisions: A Case Study from the Highlands of Ethiopia

This paper investigates the impacts of market and institutional imperfections on technology adoption in a model that considers fertilizer use and soil conservation to be joint decisions. Controlling for plot characteristics and other factors, we found that a household’s decision to adopt fertilizer significantly and negatively depends on whether the same household adopts soil conservation. The reverse causality, however, was insignificant. We also found that outcomes of market imperfections, such as limited access to credit, plot size, risk considerations, and rates-of-time preference, were significant factors in explaining variations in farm technology adoption decisions. Relieving the existing market imperfections will most likely increase the adoption rate of farm technologies.
Impact of Boron, Zinc and IAA on Growth, Dry Matter Accumulation and Sink Potential of Pigeon Pea ( Cajanus cajan L.)

Field experiments were conducted during Kharif 2002 to 2003 to examine the impact of B, Zn and IAA singly and in different treatments combinations at flowering and pod initiation stages of pigeon pea variety Asha and ICPL81-119. The objectives was study the pattern of growth, dry matter distribution, leaf and pod abscission as well as the assimilate partitioning for sink enhancement. IAA irrespective of concentrations in combination with boron and zinc at flowering and podding stages was found most effective in prevention of flower and premature abscission and acceleration of assimilate translocation as well, while foliar application of the same at flowering or pod initiation, individually, seems to alter the growth parameters or yield contributing traits partially.
Turbulent momentum and heat transfer in ducts of rhombic cross section

Direct numerical simulation of fully developed turbulent velocity and temperature fields in rhombic ducts with five different acute angles, θ, are carried out. The Reynolds number Re b based on the bulk mean streamwise velocity and the hydraulic diameter, and the Prandtl number are about 4470 and 0.71, respectively. The mean streamwise velocity and associated mean secondary velocity vectors are obtained at each θ. The systematic change of the secondary flow pattern in the rhombic ducts is clarified. As θ is decreased, a pair of counter-rotating vortices are distorted near the acute angle corner, and they eventually break up into two pairs at θ = 30ρ. It is found that the square duct of θ = 90ρ gives the best heat transfer performance among the rhombic ducts tested. The dissimilarity between momentum and heat transfer exists and is stronger near the acute corners than near the obtuse ones. This is caused by the dissimilarity inherent in the velocity and thermal boundary conditions, and also by the streamwise velocity decelerated by the corner effect, particularly at the acute corners. For designing thermal mechanical equipment, the duct that has only obtuse corners would be more efficient than that with acute corners.
Evaluating fungal mixed culture for pretreatment of cotton gin waste to bioethanol by enzymatic hydrolysis and fermentation using co-culture

The prime effort of the present investigation is to release the complex mixtures of cellulose and hemicellulose by delignification of cotton gin waste using a mixed culture of Trametes pubscens and Pycnoporus cinnabarinus. The delignification process was found to be efficient in the release of cellulose and hemicellulose and the pretreated biomass accessed to hydrolysis by producing C6 sugar. It is further examined that the solid-state cultivation (SSC) achieving 57.5% of lignin removal was more efficient than the submerged state of cultivation (SMC) with 45.6% of delignification. The corresponding cellulose and hemicellulose release was measured as 64 and 68.5% in SSC. The delignification was further confirmed by FTIR, XRD, and SEM analysis of pretreated and untreated cotton gin waste. The pretreatment process was further optimized by a response surface model that achieved 63.2% delignification in SSC. The enzymatic hydrolysis of delignified waste biomass resulted in 22.06 g/l sugar concentration after 48 h. The mixture of glucose and xylose-rich hydrolysates (32.17 g/l sugars) was fermented with co-culture of the yeast strains Saccharomyces cerevisiae and P. stipitisstrains, which resulted in 13.05 g/l ethanol concentration with 0.40 g/g ethanol yield after 64 h. Thus it has been demonstrated that the delignification of cotton gin waste using mixed culture and fermentation using co-culture of yeast strains was efficient for bioethanol