142 research outputs found
The Holography Hypothesis and Pre-Big Bang Cosmology
The consequences of holography hypothesis are investigated for the
Pre-big-bang string cosmological models. The evolution equations are obtained
from the tree level string effective action. It is shown that is bounded
by a constant in each case, being the entropy within the volume bounded by
the horizon of area .Comment: 11 pages, revtex, 1 eps fil
A dual-pathway model of knowledge exchange: linking human and psychosocial capital with prosocial knowledge effectiveness
Purpose: This study aims to examine a dual-pathway model that recognizes two distinct (formal and informal) but complementary mechanisms of knowledge exchanges – knowledge sharing and knowledge helping. It also investigates how team members use their limited human and psychosocial capital for prosocial knowledge effectiveness.
Design/methodology/approach: A survey-based approach was used to examine the hypotheses of the study. A moderated-mediation model was proposed and tested using bootstrap approach.
Findings: Knowledge sharing and knowledge helping were found to be the significant links through which human capital (capability) and psychosocial capital (motivation and efficacy) significantly predict prosocial knowledge effectiveness. Post hoc analysis suggests that human capital through knowledge sharing influences team learning, whereas the psychosocial capital through knowledge helping influences team leadership.
Originality/value: The present study found two distinct but complementary and yet necessary mechanisms of knowledge exchanges to be linked as the important outlay for the human and psychosocial capital to be effective in the prosocial knowledge behaviours
Assessment of short term effects of sildenafil therapy in patients with secondary pulmonary hypertension
Five Dimensional Cosmological Models in General Relativity
A Five dimensional Kaluza-Klein space-time is considered in the presence of a
perfect fluid source with variable G and . An expanding universe is
found by using a relation between the metric potential and an equation of
state. The gravitational constant is found to decrease with time as whereas the variation for the cosmological constant follows as
, and
where is the equation of state parameter and is the scale factor.Comment: 13 pages, 4 figures, accepted in Int. J. Theor. Phy
Mental health issues in pregnant women in Nepal
Mental health of pregnant women and new mothers is a growing area of concern in both low- and high-income countries. This editorial highlights some of the key mental issues faced by women in rural Nepal and outlines an intervention based on training community health care workers by experienced UK volunteers
Comparison of Perceived and Technical Healthcare Quality in Primary Health Facilities: Implications for a Sustainable National Health Insurance Scheme in Ghana
Some anisotropic universes in the presence of imperfect fluid coupling with spatial curvature
We consider Bianchi VI spacetime, which also can be reduced to Bianchi types
VI0-V-III-I. We initially consider the most general form of the energy-momentum
tensor which yields anisotropic stress and heat flow. We then derive an
energy-momentum tensor that couples with the spatial curvature in a way so as
to cancel out the terms that arise due to the spatial curvature in the
evolution equations of the Einstein field equations. We obtain exact solutions
for the universes indefinetly expanding with constant mean deceleration
parameter. The solutions are beriefly discussed for each Bianchi type. The
dynamics of the models and fluid are examined briefly, and the models that can
approach to isotropy are determined. We conclude that even if the observed
universe is almost isotropic, this does not necessarily imply the isotropy of
the fluid (e.g., dark energy) affecting the evolution of the universe within
the context of general relativity.Comment: 17 pages, no figures; to appear in International Journal of
Theoretical Physics; in this version (which is more concise) an equation
added, some references updated and adde
Statefinder Parameters for Different Dark Energy Models with Variable G Correction in Kaluza-Klein Cosmology
In this work, we have calculated the deceleration parameter, statefinder
parameters and EoS parameters for different dark energy models with variable
correction in homogeneous, isotropic and non-flat universe for Kaluza-Klein
Cosmology. The statefinder parameters have been obtained in terms of some
observable parameters like dimensionless density parameter, EoS parameter and
Hubble parameter for holographic dark energy, new agegraphic dark energy and
generalized Chaplygin gas models.Comment: 9 pages, no figure, accepted for publication in IJTP. arXiv admin
note: text overlap with arXiv:1104.2366 by other author
Modelling and Prediction of Soil Organic Carbon using Digital Soil Mapping in the Thar Desert Region of India
Not AvailableIn the present study, the distribution of soil organic carbon (SOC) was investigated using digital soil
mapping for an area of ~29 lakhs ha in Bikaner district, Rajasthan, India. To achieve this goal, 187 soil
profiles were used for SOC estimation by Quantile regression forest (QRF) model technique. Landsat data,
terrain attributes and bioclimatic variables were used as environmental variables. 10-fold cross-validation
was used to evaluate model. Equal-area quadratic splines were fitted to soil profile datasets to estimate
SOC at six standard soil depths (0-5, 5-15, 15-30, 30-60, 60-100 and 100-200 cm). Results showed that the
mean SOC concentration was very low with values varied from 1.18 to 1.53 g kg-1 in different depths.
While predicting SOC at different depths, the model was able to capture low variability (R2 = 1–7%).
Overall, the Lin’s concordance correlation coefficient (CCC) values ranged from 0.01 to 0.18, indicating
poor agreement between the predicted and observed values. Root mean square error (RMSE) and mean
error (ME) were 0.97 and 0.16, respectively. The values of prediction interval coverage probability (PICP)
recorded 87.2–89.7% for SOC contents at different depths. The most important variables for predicting
SOC concentration variations were the annual range of temperature, latitude, Landsat 8 bands 2, 5 and 6.
Temperature-related variables and remote sensed data products are important for predicting SOC
concentrations in arid regions. We anticipate that this digital information of SOC will be useful for frequent
monitoring and assessment of carbon cycle in arid regions.Not Availabl
- …