The fermentation of yeast reserve carbohydrates, glycogen and trehalose is a procedure to increase protein level of yeast cells and improve ethanol production. This work studied on the degradation kinetics of glycogen and trehalose carried out with two industrial strains of Saccharomyces cerevisiae (PE-2 and SA-1) and the effect of different temperatures (38o, 40o, 42o and 44oC) on degradation ...

Russian wheat aphid (Diuraphis noxia, Kurdjumov) feeding on susceptible Triticum aestivum L. leads to leaf rolling, chlorosis and plant death - symptoms not present in resistant lines. Although the effects of several D. noxia (Dn) resistance genes are known, none have been isolated or characterized. Wheat varieties expressing different Dn genes exhibit distinct modes of D. noxia resistance, suc...

We investigate the low energy phenomenology of the lighter pseudoscalar A1 in the NMSSM. The A1 mass can naturally be small due to a global U(1)R symmetry of the Higgs potential, which is only broken by trilinear soft terms. The A1 mass is further protected from renormalization group effects in the large tan β limit. We calculate the b → sA1 amplitude at leading order in tan β and work out the ...

This study investigates the concentration levels of selected priority PAHs; Phenanthrene (Phe), benzo[a] pyrene (BaP) and benzo[k] fluoranthene (BkF) in three brands of refined edible seed oils (30 samples). The samples were hydrolyzed in methanolic potassium hydroxide, and the PAH extracted in n-hexane according to standard methods. The PAH extracts were cleaned using solid phase extraction (S...

How specific aspects of a stimulus are encoded at different stages of neural processing is a critical question in sensory neuroscience. In the present study, we investigated the neural code underlying the perception of stimulus intensity in the somatosensory system. We first characterized the responses of SA1 (slowly adapting type 1), RA (rapidly adapting), and PC (Pacinian) afferents of macaqu...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

Introduction Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. Methods We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year abs...

INTRODUCTION Cardiovascular disease (CVD) continues to be a leading cause of illness and death among adults worldwide. The objective of this study was to calculate a CVD risk score from general practice (GP) clinical records and assess spatial variations of CVD risk in communities. METHODS We used GP clinical data for 4,740 men and women aged 30 to 74 years with no history of CVD. A 10-year a...

ion clause, we use A -{x:σ} to denote the set difference, i.e., the type assignment defined by removing x:σ from A. G(x) = { s⊆t }, {x:s} ⊃ x:t G(MN) = let C1, A1 ⊃ M:σ = G(M) C2, A2 ⊃ N:τ = G(N), with type variables renamed to be disjoint from those in G(M) S = UNIFY({α=β | x:α∈A1 and x:β∈A2} ∪ {σ=τ→t}) where t is a fresh type variable in SC1∪SC2∪{St⊆u}, SA1∪SA2 ⊃ MN:u where u is a fresh type ...