984 research outputs found
Every Elementary Graph is Chromatic Choosable
Elementary graphs are graphs whose edges can be colored using two colors in
such a way that the edges in any induced get distinct colors. They
constitute a subclass of the class of claw-free perfect graphs. In this paper,
we show that for any elementary graph, its list chromatic number and chromatic
number are equal
A STUDY ON PRESCRIBING PATTERN OF ANTIMICROBIAL AGENTS IN THE NEONATAL INTENSIVE CARE UNIT OF A TERTIARY CARE TEACHING HOSPITAL IN PUDUCHERRY, SOUTH INDIA
Objective: This study was done to evaluate the current prescribing and usage pattern of antimicrobial agents (AMAs) in the neonatal intensive careunit (NICU).Methods: A prospective, hospital-based, cross-sectional study (prescription audit) was carried out between May and August 2012 in the NICU of aTeaching Hospital. Data were collected by reviewing case records of all neonates admitted to the NICU during the study period.Results: A total of 120 case records were reviewed and 100 were eligible to be included in the study. Out of the 100, no antimicrobial prescriptionwas made in 35 case records. Remaining 65 (65%) were prescribed at least one AMA. 167 AMA prescriptions were made in total and averagenumber of AMAs utilized per neonate was 1.670. Cefotaxime (24.6%) was the most commonly prescribed AMA followed by amoxicillin (23.4%).Aminoglycosides (43.7%) were the commonly prescribed group of AMAs followed by penicillins (28.7) and cephalosporins (24.6%). Most of the AMAswere prescribed to non-bacteriologically proven infections (50.5%). Among the 167 AMA prescriptions, 104 (62.28%) were made in their brandnames and 63(37.72%) were made in their generic names. Discussion and Conclusion: This study highlights current usage of AMAs in the NICU of a tertiary care teaching hospital in Puducherry. AMAs were found to be prescribed frequently without bacteriological evidence and in their brand names. This necessitates the need for motivating doctors to improve AMA prescriptions with supportive bacteriological evidence and in generic names.Keywords: Antimicrobial agents, Neonatal intensive care unit, Generic drugs, Non-bacteriologically proven infections
Analysis of Bolted Joints Under Medium and High Impact Loading
Develop test fixture for medium impact study on bolted joints Create FEA model that can replicate the experiment Develop test fixture for high impact loading Create FEA model and select material properties that can produce results thatclosely match experiments. Compare different modeling techniques for high impact loadin
Multi-temperature state-dependent equivalent circuit discharge model for lithium-sulfur batteries
Lithium-sulfur (Li-S) batteries are described extensively in the literature, but existing computational models aimed at scientific understanding are too complex for use in applications such as battery management. Computationally simple models are vital for exploitation. This paper proposes a non-linear state-of-charge dependent Li-S equivalent circuit network (ECN) model for a Li-S cell under discharge. Li-S batteries are fundamentally different to Li-ion batteries, and require chemistry-specific models. A new Li-S model is obtained using a âbehaviouralâ interpretation of the ECN model; as Li-S exhibits a âsteepâ open-circuit voltage (OCV) profile at high states-of-charge, identification methods are designed to take into account OCV changes during current pulses. The prediction-error minimization technique is used. The model is parameterized from laboratory experiments using a mixed-size current pulse profile at four temperatures from 10 °C to 50 °C, giving linearized ECN parameters for a range of states-of-charge, currents and temperatures. These are used to create a nonlinear polynomial-based battery model suitable for use in a battery management system. When the model is used to predict the behaviour of a validation data set representing an automotive NEDC driving cycle, the terminal voltage predictions are judged accurate with a root mean square error of 32 mV
Soil and Plant Analysis - A Strategic Tool to Diagnose Micronutrient Imbalance in Lime and Sapota Orchard in Tablelands of Chambal Ravine Region of India
Micronutrient imbalance in lime and sapota fruit crops result in unstable fruit yield, fruit shedding and degrade quality of the produce. A study was therefore conducted to evaluate micronutrient statusoflime and sapota orchard by analysing soil and plant samples. Soil samples were collected from surface (0-15cm) and sub-surface (15-30cm) depth representing whole orchard. At the same time, plant samples including 35-40 each for leaves and petiole samples each from lime and sapota field was also collected. Available micronutrients from soil samples were extracted using diethylenetriaminepenta acetic acid (DTPA) and it was in the order of manganese (Mn)> iron (Fe)> zinc (Zn)> copper (Cu) in both lime and sapota plantations. DTPA- extractable Zn and Cu showed low status, marginal status of Fe and sufficient level of Mn in soils of sapota plantations. In plant analysis, high concentration of Cu (869 mg kg-1) and Zn (411mg kg-1) was observed in lime leaves; however, in sapota crop Cu and Zn content was 8.25mg kg-1 and 16.7mg kg- 1 respectively. Similarly, Fe and Mn content of lime leaves was 197 and 43 mg kg-1 which was slightly higher than sapota leaves that recorded 128 and 49mg kg-1 of Fe and Zn respectively. In sapota plants, higher Mn and Cu concentration in leaf resulted in Zn deficiency symptoms such as shortened internodes or rosette disorders of sapota plants. Thus, correcting micronutrient deficiency is pre-requisite for qualitative and quantitative fruit production in tablelands of India
2, 4-Diamino-6- hydroxy pyrimidine inhibits NSAIDs induced nitrosyl-complex EPR signals and ulcer in rat jejunum
BACKGROUND: It has been suggested that one aspect of non-steroidal anti-inflammatory drugs induced intestinal damage is due to either uncoupling of mitochondrial oxidative phosphorylation or inhibition of electron transport. We investigated the latter possibility using electron paramagnetic resonance spectroscopy. RESULTS: Electron paramagnetic studies of NSAIDS on sub-mitochondrial particles revealed that indomethacin, but not with nabumetone, bound to a site near to Complex I and ubiquinone to generate a radical species. Normal rats exhibited prominent [3Fe-4S]ox signals (g ~ 2.01) at 20 K. One hour after indomethacin there was a prominent, intense and broad absorption pattern at (g ~2.07) suggesting, appearance of radical species overlapping [3Fe-4S]ox and was unaffected by pretreatment with 2,4 diamino -6-hydroxy pyrimidine. At 24 hrs, when macroscopic ulcers were seen, there was a new signal due to a nitric oxide radical (NOâ˘). In contrast, nabumetone and 2,4 diamino-6-hydroxy pyrimidine pre-treated animals receiving indomethacin exhibited electron paramagnetic resonance spectra identical to those of controls at 24 hrs and neither was associated with small intestinal ulcers. Indomethacin and 2,4 diamino hydroxy pyrimidine pre-treated rats, but not nabumetone, had increased intestinal permeability. CONCLUSION: The results suggest that the in vivo effects of indomethacin modulate the mitochondrial respiratory chain directly at 1 h and 24 h through formation of nitric oxide. NO⢠appears to play an important role in the late pathogenic stages of NSAID enteropathy and may be the site for targeted treatment to reduce their toxicity
Relativistic Hartree-Fock Chiral Lagrangians with confinement, nucleon finite size and short-range effects
A relativistic Hartree-Fock Lagrangian including a chiral potential and
nucleon polarisation is investigated in hopes of providing a better description
of dense nuclear matter. We fully consider the contribution of the exchange
Fock term to the energy and the self-energies, and in addition we investigate
the nucleon's compositeness and finite size effects (confinement and form
factors) and short range correlations modeled by a Jastrow ansatz. These
effects are added step by step, such that their impact on the dense matter
properties can be analysed in details. The parameters of the model are adjusted
to reproduce fundamental properties related to the QCD theory at low energy,
such as the chiral symmetry breaking, nucleon's quark substructure and
Lattice-QCD predictions, as well as two empirical properties at saturation: the
binding energy and the density. All other empirical parameters, e.g., symmetry
energy and its slope, incompressibility modulus, effective mass, as well as
spin-isospin Landau-Midgal parameter are predictions of the models and can be
used to evaluate the gain of the different approximation schemes in describing
nuclear properties. Bayesian statistics is employed in order to propagate
parameter uncertainties into predictions for the nuclear matter properties. We
show that the splitting of the effective Landau mass is largely influenced by
the value of the coupling, and we show that the fit to the symmetry
energy, which induces an increase of the coupling constant by about
20-25% compared to the case where it is fixed by the quark model, provides a
very good EoS compatible with the present nuclear physics knowledge
MHD flow of non-Newtonian ferro nanofluid between two vertical porous walls with CattaneoâChristov heat flux, entropy generation, and time-dependent pressure gradient
This article studies the magnetohydrodynamic flow of non-Newtonian ferro nanofluid subject to time-dependent pressure gradient between two vertical permeable walls with CattaneoâChristov heat flux and entropy generation. In this study, blood is considered as non-Newtonian fluid (couple stress fluid). Nanoparticlesâ shape factor, Joule heating, viscous dissipation, and radiative heat impacts are examined. This investigation is crucial in nanodrug delivery, pharmaceutical processes, microelectronics, biomedicines, and dynamics of physiological fluids. The flow governing partial differential equations are transformed into the system of ordinary differential equations by deploying the perturbation process and then handled with RungeâKutta 4th-order procedure aided by the shooting approach. HamiltonâCrosser model is employed to analyze the thermal conductivity of different shapes of nanoparticles. The obtained results reveal that intensifying Eckert number leads to a higher temperature, while the reverse is true for increased thermal relaxation parameter. Heat transfer rate escalates for increasing thermal radiation. Entropy dwindles for intensifying thermal relaxation parameter
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